Staff Forward Deployed Engineer – AI-Native Software Development

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

Check this out to find out more about our product: https://www.jetbrains.com/context/

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

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#LI-DNI

Andersen is hiring a Principal AI Engineer for a project developing AI-powered solutions to enhance automation, predictive capabilities, and operational efficiency.

The customer is a global technology company delivering enterprise digital platforms for automating complex operational, financial, and compliance workflows. Its solutions handle high data volumes, integrate with multiple external systems, and support mission-critical processes for international businesses, with a strong focus on scalability, reliability, and automation.

The project is focused on developing and integrating AI-powered capabilities into a maritime port call management platform. It aims to improve operational efficiency, predictive capabilities, process automation, and data-driven decision-making through scalable and innovative AI solutions.

• Converting manual processes to fully automated processes.
• Partially automating processes when full automation is not achievable.
• Helping improve efficiency for both the operations team and customers.
• Reducing the amount of manual (especially repetitive) work mainly for the operations team.
• Predicting answers to questions based on an existing historical knowledge base.
• Predicting costs based on historical knowledge.
• Chating bot style task automation.

• Experience in AI/ML Engineer for 5+ years.
• Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith.
• Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration.
• Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory Management.
• Proven experience designing, training, and deploying ML models in production Environments.
• Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines.
• Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Strong coding skills in languages such as Python.
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models.
• Understanding of software development life cycle (SDLC) and agile methodologies.
• Experience with version control systems (e.g., Git).
• Ability to analyze and interpret complex datasets.
• Strong analytical thinking to identify and solve operational inefficiencies.
• Ability to design and implement AI-driven solutions.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Strong written and verbal communication skills.
• Experience working in cross-functional teams.
• Ability to collaborate with other developers, data scientists, and business analysts.
• Level of English – from Upper-Intermediate and above.

• Good to have programming experience in Java.
• Strong skills in python application architecuture for production deployments, mono repos, uv, microservices, frameworks such as gunicorn & FastAPI.
• Strong skills in infrastructure as code specifically in Azure environment and BICEP.
• Automated production grade deployments of AI/LLM models.
• Production grade architecture of cloud based solution.
• Strong Datascience background.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have: 

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

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