ML Engineer

Essential functions

Programming: Advanced Python (OOP, async), REST API frameworks (Flask, FastAPI)

Cloud: Strong experience with Microsoft Azure (App Services, Azure Functions, Blob Storage, Cosmos DB preferred)

GenAI/LLM Ecosystem: Familiarity with LangChain, LangGraph, or similar orchestration frameworks Experience building solutions with RAG design patterns and prompt tuning (CoT, ToT, FewShot) Understanding of vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) Embedding models like Sentence Transformers, CLIP/SIGLIP, or similar

Performance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputs

Data Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformation

Version Control & CI/CD: Git, Azure DevOps/GitHub Actions pipelines

Qualifications

GenAI/LLM Ecosystem: Familiarity with LangChain, LangGraph, or similar orchestration frameworks Experience building solutions with RAG design patterns and prompt tuning (CoT, ToT, FewShot) Understanding of vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) Embedding models like Sentence Transformers, CLIP/SIGLIP, or similar

Would be a plus

Nice to have requirements to the candidate

Practical experience deploying GenAI applications to production in enterprise settings

Familiarity with AgentOps/MLOps pipelines

Exposure to VLLMs or lightweight open-source LLMs for enterprise deployments

Experience supporting post-go-live production systems or hypercare phases

We offer

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

  • Well-equipped office