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Location: United States Role Overview A lab result can arrive on time and still be hard to use. It has to reach the right patient record, carry enough context for a physician to act on it, and make sense to the person receiving it. The same challenge applies to data from electronic health records, insurers, wearables, and medical devices. We’re seeking a Lead Engineer, Health Data Integrations to build and operate the integrations behind a health data platform for personalized primary care. You’ll own the work from the first conversation with a lab, EHR vendor, or device partner through the point where a member or physician can use the data. You’ll work across APIs, data pipelines, mobile integrations, and front-end features on an API-first, event-driven Azure platform. The team uses Claude Code as its primary development interface. This is a hands-on senior individual contributor role reporting to the Director of Engineering, Integrations. The role works directly with protected health information and external vendors and is open to candidates based in the United States who are authorized to work in the U.S. What you’ll do Build and operate integrations with lab and diagnostics partners so results arrive complete, normalized, and ready for members and physicians to use. Connect EMR and EHR systems using FHIR and legacy interfaces where needed. Integrate payer data, including eligibility, claims, and patient-access APIs. Integrate on-device mobile health data and cloud-based wearable APIs. Handle consent, synchronization, and gaps in device data. Lead the work to bring data from in-clinic medical devices into the cloud platform. Map data from different sources into a common model that supports standard clinical terminology, patient matching, provenance, and auditability. Build the APIs, services, and front-end features that help members understand their health data and physicians act on it. Work directly with labs, EHR vendors, payers, and device partners to scope, test, and launch integrations. Partner with product, clinical, and data engineering teams to decide which data matters and how to present it. Design for HIPAA requirements from the start. Build in encryption, access controls, audit logging, and minimum-necessary data handling. Align vendor integrations with Business Associate Agreements. Set the standards for testing, observability, and CI/CD so the team can catch integration failures before they affect members or physicians. Use Claude Code and agentic development in your daily workflow, from prototyping and code generation through automated testing and deployment. Define how the team reviews and verifies AI-generated changes. Work with technical and business product owners to test assumptions, clarify what each integration needs to deliver, and sequence work by impact. You’re comfortable debugging a FHIR resource, working through a mobile health sync issue, and reviewing a React screen or Azure deployment in the same week. You’ve seen healthcare integrations break in production and can explain what went wrong, how you diagnosed it, and what you changed. You can move a project forward on a small team when requirements are still taking shape. You raise blockers early and communicate clearly with engineers, clinicians, and vendor partners. Bachelor’s degree in computer science or a related field and 8+ years shipping software, including 3+ years building healthcare data integrations at a health-tech, digital health, or healthcare startup. Hands-on production experience with FHIR R4 and SMART on FHIR, plus working knowledge of HL7 v2, C-CDA, and clinical terminologies such as LOINC and SNOMED CT. Integration experience in at least two of these areas — hospital and EHR systems such as Epic, Oracle Health/Cerner, or athenahealth; payer data such as eligibility, claims, or X12 EDI; and lab systems such as Quest or Labcorp. Experience integrating Apple HealthKit or Android Health Connect, including the native or cross-platform mobile work involved, and working with wearable APIs such as WHOOP, Fitbit, Oura, or Garmin. Experience leading a substantial platform build or integration program end to end. Full-stack development experience with a modern back end such as Node.js, .NET, or Python and a front end such as React or Next.js. You’ve built APIs, event-driven systems, and data pipelines in production. Cloud-native experience on Azure, or equivalent experience on another cloud platform and a willingness to work in Azure, including CI/CD and infrastructure as code. Practical experience applying HIPAA requirements and protecting PHI in production systems. Daily use of AI coding tools such as Claude Code or Copilot, with a clear approach to reviewing and testing their output. The ideal candidate can sit down with a clinician or vendor, work out what data is available and how it will be used, and carry that integration into production. They can trace a result back to its source, explain a gap in plain language, and fix the underlying problem. What you’ll bring Bachelor’s degree in computer science or a related field, plus 8+ years shipping software, including 3+ years building healthcare data integrations at a health-tech, digital health, or healthcare startup. Hands-on production experience with FHIR R4 and SMART on FHIR, and working knowledge of HL7 v2, C-CDA, LOINC, and SNOMED CT. Integration experience across at least two of these areas — hospital and EHR systems, payer and insurance data, and lab systems. Experience integrating Apple HealthKit or Android Health Connect, including the mobile development involved, and working with wearable data APIs such as WHOOP, Fitbit, Oura, or Garmin. Experience leading a significant platform build or integration program from design through launch. Full-stack experience with a modern back end such as Node.js, .NET, or Python, and a front end such as React or Next.js. You’ve built APIs, event-driven systems, and data pipelines in production. Cloud-native engineering experience on Azure or equivalent experience on another cloud platform and a willingness to work in Azure. This includes CI/CD and infrastructure as code. Practical experience protecting PHI in production systems and applying HIPAA requirements. Daily use of AI coding tools such as Claude Code or GitHub Copilot, with a habit of testing and reviewing their output. Ability to work independently on a small team, raise blockers early, and communicate clearly with engineers, clinicians, and vendor partners. Based in the United States and authorized to work in the U.S. You should be able to carry an integration through the full arc: Clinical Need → Partner Discovery → Integration Design → Data Validation → Production → Member and Physician Use The work is complete when the right data reaches the right person in a form they can use. Your partner for AI, consulting, software development, and nearshore staffing.

Location: LATAM Role Overview We are seeking a Senior Full Stack Web Developer to join an engineering team supporting a global entertainment and media organization. You will work within an agile development team, partner closely with product management, perform code reviews, and mentor other developers as you help build and maintain high-quality web applications. This role is a strong fit for self-motivated engineers who are passionate about both the business and the technology behind it. Deep knowledge of JavaScript, TypeScript, HTML, CSS, and Node.js is essential, and hands-on experience with React, Redux, Jest, Azure SQL, and MongoDB is a strong plus. Just as important is the ability to adapt quickly as technologies and priorities change. Key Responsibilities Develop and maintain web applications using modern web technologies. Collaborate with cross-functional teams, including product management, to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and resolve bottlenecks and fix bugs. Guide and mentor other full stack developers on business and technical concepts to improve code quality and delivery speed. Help maintain code quality, organization, and automation across the codebase. Participate in code reviews and provide constructive feedback to peers. Stay current with industry trends and emerging technologies. Required Qualifications Minimum of five (5) years of experience as a Full Stack Web Developer or in a similar role. Mastery of front-end technologies such as HTML, CSS, JavaScript, and TypeScript, along with frameworks like React, Angular, or Vue.js. Strong experience with a Node.js framework such as Hapi.js or Express.js. Experience with database systems such as MongoDB, MSSQL, MySQL, PostgreSQL, or similar. Experience working on large single-page web applications with complex state management. Familiarity with UI frameworks such as Bootstrap, Semantic UI React, Material, Tailwind, or similar. Experience writing unit and integration tests using tools such as Jest, Chai, Cypress, or similar. Experience performing code reviews to ensure security, code quality, maintainability, and knowledge sharing across the team. Familiarity with version control systems such as Git. Solid understanding of RESTful APIs and web services. Very strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Preferred Experience Hands-on experience with React, Redux, Jest, Azure SQL, and MongoDB. Experience with SAP/BTP integrations. Experience with cloud services such as AWS, Azure, or Google Cloud. Experience working in FinTech or financial systems environments. Experience working in agile development teams. Experience mentoring or leading other developers. Ideal Candidate The ideal candidate is a seasoned full stack engineer who takes ownership of quality, from clean code and solid test coverage to thoughtful code reviews. They are comfortable working across the front end and back end, collaborate easily with product and engineering peers, and enjoy helping other developers grow. Just as important as technical depth is the ability to adapt to changing technology, understand the business context behind the work, and contribute to a team culture of collaboration and continuous improvement. Your partner for AI, consulting, software development, and nearshore staffing.

Location: Georgia About Perform Perform (totalperform.com) is an AI, consulting, and engineering firm based in Milton, GA. We help enterprise clients in healthcare, banking, and other regulated industries ship the AI strategies they've been talking about, across four service lines: AI & Automation, Consulting, QA & Testing, and Nearshore Engineering Talent. This role sits inside our AI & Automation and Consulting practices. We sell scoped, delivered outcomes: AI agent builds, automation implementations, data and platform projects, and advisory engagements. Every deal is a custom proposal and a signed SOW, backed by our delivery and engineering teams, with Nearshore Engineering Talent as a complement when a client needs a team to deliver. The Role This is a quota-carrying hunter role, reporting directly to the CEO. We don't hand you a lead list: you build the pipeline, the network and the book of business yourself. You own project and consulting revenue creation from prospecting through close, and you scope the engagement the way a solutions seller does: outcome first, deliverable defined, fixed-fee or milestone-based SOW signed. This is a senior seat covering both sales and account management. You win the new logo, then manage and grow the account into follow-on work. What You'll Own Self-sourced new-logo selling. You prospect, you book your own meetings, you close. We don't have an inbound lead flow to hand you. You bring your own network to open doors that cold outreach can't, and you build pipeline against companies that need AI, automation, or data and platform work done. Directing the offshore team. A dedicated offshore team supports your hunt with list-building, research, LinkedIn outreach, cold email, and account monitoring. They multiply your reach; they don't replace your hunting. You direct them. Running the full sales cycle. Discovery, executive presentation, solution scoping with our delivery and engineering leads, custom proposal and SOW authoring, pricing, negotiation, and close. You quarterback; delivery executes. Selling the outcome. "We'll build and deploy your AI agent in eight weeks" beats "we have AI engineers available." You scope fixed-fee or milestone-based engagements around a defined deliverable. Growing what you land. After the first project, you manage your named accounts and expand them into follow-on work. SOW and change-order discipline. Clean scoping, clear acceptance criteria, and change-order discipline on every engagement, with no scope creep that erodes margin or client trust. Navigating multi-stakeholder, long-cycle deals. You're comfortable running 6 to 12 month cycles across IT, procurement, finance, and legal, with deals in the $50K to $150K+ ACV range, and presenting credibly to CIOs and CTOs along the way. Walking away from the wrong deals. You have full discretion to decline work we would regret delivering, and we don't discount our positioning to win commodity work. How You'll Be Measured Targets are set with you at hire. Leading indicators below so progress is visible before revenue comes in. New-logo bookings: Closes net-new project and consulting revenue (AI & Automation, Consulting) from self-sourced pipeline. Self-sourced pipeline: Builds a credible pipeline through your own prospecting within the first quarter. Prospecting activity: A consistent weekly cadence of outbound touches and first meetings booked from your own effort. Average deal size / ACV: Scopes and closes projects in the $50K to $150K+ range, not commodity-rate deals. SOW discipline: Signed engagements have clean scope and acceptance criteria; minimal scope disputes or uncontrolled change. First 90 Days Day 30: Trained on the offering and positioning across AI & Automation and Consulting. Target list built, outbound cadence live. Day 60: Pipeline building from your own prospecting effort. First opportunities in real stages with proposals in motion. Day 90: First new-logo close, and a self-sourced pipeline credible enough to forecast against. Who We're Looking For This role is for a senior, genuine hunter who has built pipeline from nothing and has sold scoped project or consulting engagements before. There is no inbound lead flow here; if you need leads handed to you, this isn't the role. A senior, proven enterprise seller. 7+ years of B2B technology sales with a steady, progressive record in senior roles. An aggressive, self-directed hunter. You build your own network, generate your own leads, and close your own business. You've built pipeline from a standing start, and you bring a rolodex of relationships with enterprise technology buyers. This is the single most important requirement. Sold scoped projects. You've built custom proposals and SOWs and closed fixed-fee, milestone-based, or SOW engagements, not only bill-rate placements. Both sales and account management. You can win the new logo and then manage and grow the account. Enterprise deal experience. Deals in the $50K to $150K+ ACV range, 6 to 12 month cycles across IT, procurement, finance, and legal, and ground-up territory or new-logo builds. Credible with CIOs, CTOs, and VPs of Engineering. You can discuss AI, automation, data, and platform work without being rolled by an engineer. Staff augmentation experience is also valued. A background that combines project sales with staffing is ideal. Comfortable in a small-team environment. You'll have real support from delivery, engineering, content, and an offshore team, but you build and iterate, not wait for a playbook. Honest about fit. You'd rather walk from a bad-fit deal than discount into one we'll regret delivering. Authorized to work in the US without sponsorship. Nice to have Sandler or Force Management sales training Experience selling into regulated industries such as healthcare and banking A background at an IT consulting firm, systems integrator, digital transformation shop, or AI and automation consultancy What We Offer Fully remote, US-based. Atlanta is a plus but not required. Some client travel as deals warrant. A recruiting and delivery team paired with you from day one, so the execution answer is already in motion when you walk into a client conversation. A dedicated offshore team to multiply your reach: lists, research, and outreach volume. Direct partnership with the VP of AI on solution scoping for complex deals. A clear, differentiated story to sell, reporting straight to the CEO. Why Perform, Why Now Buyers are past asking "can you send us a contractor" and are asking "can you get this built." We've built the harder, more durable story: scoped outcomes, delivered by a team that specializes in the roles AI doesn't replace. Your job is to get in front of more of those buyers and sell the project. Your partner for AI, consulting, software development, and nearshore staffing.

Location: Atlanta, Georgia, United States About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community—speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms Establish best practices, architectural patterns, and frameworks for AI integration across projects Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events Publish technical articles, case studies, and thought leadership content on AI applications and business impact Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities Present real-world examples of AI-driven solutions and their business outcomes to potential customers Build relationships with media, analysts, and industry influencers in the AI space Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing Share AI insights and best practices across the organization through training sessions, demos, and documentation Work with sales and marketing to develop AI-focused messaging and customer narratives Identify and communicate AI-driven competitive advantages and business opportunities Run internal workshops and brown bag sessions on AI tools, techniques, and applications Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype) Demonstrated experience building AI-powered applications or integrations that solve real business problems Proven ability to communicate complex technical concepts to both technical and non-technical audiences Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field Collaborative leader who elevates teams and builds organizational capability around AI Deep curiosity about emerging AI capabilities and their business applications Required Qualifications Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations) Strong technical background in software engineering, data engineering, AI/ML, or related field Proven ability to communicate AI concepts to multiple audiences (technical and non-technical) Experience building or architecting AI-powered solutions that deliver measurable business value Track record of external communication: speaking, writing, community engagement, or recognized expertise Strong understanding of AI capabilities, limitations, and ethical considerations Ability to evaluate emerging AI tools and articulate their potential impact and use cases Experience working with customers to identify and implement AI solutions Excellent verbal and written communication skills Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications Experience with prompt engineering and fine-tuning LLMs Background in consulting, systems thinking, or strategic advisory Experience building agentic workflows or AI-assisted development tools Published technical content, speaking engagements at industry events, or recognized thought leadership Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.) Experience in healthcare, financial services, or enterprise software domains Background in product strategy or go-to-market positioning Data science or machine learning background Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms LLM Platforms: Claude, ChatGPT, Codex Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face Development: Python, JavaScript, SQL Cloud Platforms: Azure, AWS, Google Cloud Data Tools: Vector databases, RAG frameworks, embedding models Monitoring & Observability: Langsmith, Arize, or similar AI observability tools Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.

Location: Manila, Philippines Role Overview We are looking for a creative, hands-on Python / AI Solutions Full-Stack Developer to help design, build, and deploy AI-powered solutions for customers. This person will work across the full delivery lifecycle: understanding customer needs, designing technical approaches, building Python services and full-stack applications, integrating with third-party systems, and delivering reliable solutions that create measurable business value. The ideal candidate is comfortable moving quickly in a small team, thinking creatively through ambiguous problems, and connecting AI capabilities with real-world systems through APIs, MCP, data workflows, and modern application development. Key Responsibilities Design, develop, and deploy Python-based AI applications, automation workflows, and customer-specific software solutions. Build full-stack applications, including backend services, frontend interfaces, databases, authentication flows, and deployment pipelines. Create, consume, and maintain APIs, including REST, GraphQL, webhooks, SDK-based integrations, and enterprise authentication patterns such as OAuth. Develop and integrate Model Context Protocol (MCP) servers, tools, resources, and client workflows that connect AI systems with external applications and data sources. Translate customer requirements into practical technical designs, prototypes, proofs of concept, and production-ready implementations. Integrate AI solutions with customer systems such as CRMs, ERPs, ticketing platforms, data warehouses, collaboration tools, and custom internal applications. Work with LLMs, agentic workflows, retrieval-augmented generation, structured outputs, prompt orchestration, and evaluation approaches where appropriate. Collaborate closely with product, engineering, customer success, and leadership in a small-team environment where ownership and flexibility matter. Write clean, maintainable, well-tested code and contribute to reusable components, integration patterns, and internal technical standards. Participate in customer demos, technical discovery conversations, solution reviews, and post-deployment support as needed. Required Qualifications Strong professional experience with Python and modern backend frameworks such as FastAPI, Flask, or Django. Full-stack development experience, including JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, or similar. Proficiency designing and integrating APIs, including authentication, authorization, pagination, rate limits, error handling, and observability. Hands-on experience with MCP or comparable tool/plugin protocols used to connect AI assistants, agents, and applications to external systems. Experience building AI-enabled applications using LLM APIs, orchestration frameworks, vector databases, RAG patterns, or agent-based workflows. Solid understanding of databases, including SQL and at least one NoSQL or search/vector-oriented data store. Experience with Git, Docker, automated testing, CI/CD concepts, and deploying applications to cloud or cloud-adjacent environments. Ability to break down ambiguous customer problems and propose creative, practical technical solutions. Strong communication skills and comfort explaining technical tradeoffs to both technical and non-technical stakeholders. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, Digital Ocean, or Google Cloud, especially serverless, containerized, or managed AI services. Experience with AI platforms and tooling such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, semantic search, embeddings, or evaluation frameworks. Background integrating with common business platforms such as Salesforce, HubSpot, ServiceNow, Jira, Confluence, Slack, Microsoft 365, Google Workspace, or custom enterprise systems. Experience with data engineering, ETL/ELT, workflow automation, event-driven systems, or queue-based architectures. Familiarity with security, privacy, and governance considerations for customer-facing AI solutions. Consulting, agency, startup, or customer-facing software delivery experience. What Makes Someone Successful in This Role Creative problem-solver who can move from idea to prototype to production without needing a large team around them. Systems thinker who understands how APIs, data, user experience, and AI capabilities fit together. Comfortable with ambiguity, changing requirements, and fast iteration based on customer feedback. Pragmatic builder who balances innovation with reliability, maintainability, security, and cost. Collaborative teammate who communicates openly, shares context, and helps raise the technical bar for the team. Representative Technology Stack Python, FastAPI/Flask/Django, JavaScript/TypeScript, React/Next.js, REST/GraphQL APIs, MCP, Docker, Git, SQL, NoSQL, vector databases, LLM APIs, cloud services, CI/CD, and modern integration tooling. Working Style This is a hands-on role in a small team. The right person will be expected to contribute across architecture, coding, integration, troubleshooting, customer communication, and delivery. They should enjoy building useful AI solutions in the real world, where creativity, technical judgment, and follow-through matter as much as raw coding ability. Your partner for AI, consulting, software development, and nearshore staffing.

Location: State of São Paulo Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy. We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications. You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions. This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases. What You’ll Do Collaborate with engineers to design and execute data migrations between systems Perform data mapping, transformation, validation, and reconciliation Ensure data accuracy and completeness across environments Build and maintain production data pipelines and APIs Develop scripts and services for data movement and validation Model data and analyze source and target schemas Write complex SQL queries and work with relational and NoSQL databases Identify and resolve data quality issues during migration Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support Contribute to discussions around data quality, test strategy, and automation Integrate and manage data flows across multiple systems and applications Design and implement data models that reflect business logic and support application use cases Design and execute complex data migrations between systems, ensuring data integrity and consistency How You’ll Succeed Deliver stable, well-tested data pipelines and migration solutions Write clean, maintainable production code Maintain strong attention to detail when handling data transformations Communicate clearly with technical teammates and stakeholders Thrive in a collaborative, service-oriented environment Who You Are 3+ years of experience in a Data Engineering role. Experience working with transactional or financial data is a plus At least 5 years of experience delivering production software solutions Proficient in Python with experience shipping production pipelines Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred) Experience building scripts or services for data movement and validation Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms Experience using Git or other distributed version control systems Familiar with automated deployments and continuous delivery practices Solid understanding of REST APIs, JSON, testing, security, and performance best practices Bachelor’s degree in Computer Science or related field, or equivalent experience Strong verbal and written communication skills Position Details Remote: Fully-remote Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton Your partner for AI, consulting, software development, and nearshore staffing.

Location: State of São Paulo As the  Sr AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement. This is a senior role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team. You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction. Responsibilities: Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents. Lead the development and fine-tuning of large language models tailored to our domain. Architect training workflows that use user feedback and corrections to continually improve model performance. Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats. Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures. Design robust evaluation pipelines and performance metrics for all models. Help architect scalable systems to support training, inference, and feedback pipelines. You’ll be building core systems from scratch. Qualifications: 6+ years with Python development experience 4+ years experience as an AI/ML Developer. JavaScript / Node.js / React Experience with Mongo DB and AWS Upper Intermediate English level Position Details Remote: Fully-remote Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City,  Belize City Your partner for AI, consulting, software development, and nearshore staffing.