Company project team is located in Baku.
Key responsibilities:
- Lead the design and development of production-ready NLP and LLM-based algorithms, from data preprocessing to deployment.
- Drive and own the preprocessing pipeline, including data cleansing, normalization, tokenization, and annotation workflows.
- Design, test, and iterate on prompt engineering strategies to optimize LLM performance for specific tasks, including few-shot and zero-shot approaches.
- Implement and optimize retrieval-augmented generation (RAG) pipelines to enable context-aware generation and better factual grounding.
- Build and manage agentic LLM pipelines where models can interact with tools, APIs, and memory (e.g., via LangChain or custom frameworks).
- Provide technical leadership and mentorship to AI engineers:
- Delegate and review tasks
- Conduct code and model reviews
- Introduce best practices in ML workflows and documentation
- Architect modular and scalable ML codebases to support long-term product evolution.
- Collaborate with the web development team to integrate ML APIs/services into the broader system architecture.
- Proactively identify and resolve bottlenecks, performance issues, or data quality challenges in collaboration with stakeholders.
Mandatory requirements:
- 5+ years of experience in machine learning engineering, with at least 2 years in NLP and/or LLM-based systems
- Strong expertise in data pre-processing, including regular expressions, data normalization, and pipeline design.
- Deep understanding of modern LLM architectures (e.g., transformer-based models) and vector-based retrieval (RAG, BM25, etc.)
- Experience with prompt engineering techniques and tools (e.g., LangChain, Guidance, PromptLayer, etc.)
- Understanding of agentic frameworks and orchestration of LLM-based agents using tools, search, and memory.
- Proven experience leading ML projects and mentoring technical team members.
- Ability to work collaboratively with cross-functional teams, including web/frontend/backend engineering.
- MSc or PhD in Computer Science, Machine Learning, AI, or a related field.
- Familiarity with containerization (Docker), cloud deployment (AWS/GCP/Azure), and RESTful API design.
- Contribute to shaping the corporate AI strategy and provide input to product management and executive stakeholders.
Work conditions:
- Relocation to Baku;
- Company provides relocation package, including travel expenses and housing support, up to 1 month while searching for an apartment for rent in Baku;
- Company will not provide accommodation allowance;
- Company helps in obtaining an Azerbaijani Residence Permit;
- 1-year short-term initial contract with future prolongation;
- Standard 5-day work week, 40 hrs a week.
Please, send your CV to hr@amur-point.ru
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