Вакансии

Conduct student meetups, workshops, and Q&A sessions, and give presentations on cool technologies that highlight JetBrains tools. Promote internship opportunities and organize the presentation of internship projects.

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This is an Early Career Software Engineer role at Google. The position is titled 'Software Engineer, Early Career, Campus' and is available in Pittsburgh, PA; Mountain View, CA; and 8 more locations. The salary range is $123K-$174K per year.

123 000 – 174 000 $

In this role you will: — Conduct student meetups, workshops, and Q&A sessions, and give presentations on cool technologies that highlight JetBrains tools. — Promote internship opportunities and organize the presentation of internship projects. — Coordinate JetBrains’ participation in campus career events, hackathons, etc. — Set up a student club and mentor peers regarding the use of JetBrains tools. — Collaborate with fellow JetBrains campus ambassadors. We expect that you: — Are currently enrolled in Computer Science or a related technical field, with a background in software development. — Are familiar with and have a passion for JetBrains tools, and are eager to share that passion with others. — Have excellent communication and public speaking skills. — Experience planning events or leading a team would be a plus. With this position, you will gain: — An opportunity to develop your technical, leadership, and communication skills. — Access to a network of product and technology experts from JetBrains who can mentor you and share their expertise. — Priority when choosing an internship position at JetBrains. — Dedicated support from JetBrains to help you educate and expand your community (for example, exclusive swag, financial support, and the promotion of your events via JetBrains channels). What you'll do: — Part-time position based at the university campus. Who you are: — As listed in “We expect that you” section above.

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Amrita Vishwa Vidyapeetham at the Amritapuri Campus is seeking qualified individuals to join as Research Trainees. Candidates will be involved in research activities as part of their role. The position requires applicants to meet certain qualifications, though specific details about the tasks and requirements are provided on the official website.

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Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week). Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery. What you will do: — Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. — Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems. — Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance. — Implement observability, monitoring, and cost visibility for LLM and agent workloads. — Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem. — Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Requirements: — Proven experience shipping LLM-powered systems or AI agents into production. — 4+ years of experience in production machine learning infrastructure, specifically involving LLMs. — Strong programming skills in Python with experience building scalable backend services. — Experience with Cloud platforms, ideally AWS or GCP. — Strong communication skills and ability to work collaboratively in cross-functional teams. Nice to have: — Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. — Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex. — Experience with ML frameworks such as Hugging Face or PyTorch. Culture & Benefits: — Hybrid working model with 2 days a week in the Berlin campus. — 27 days of holiday, increasing with years of service. — €1,000 Educational Budget, language courses, and access to Udemy Business. — Health checkups, meditation, and gym/bicycle subsidies. — Employee Share Purchase Plan, corporate pension plan, and life/accident insurance. — Relocation support and dedicated relocation hub for moving to Berlin.

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