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Tech Stack
Tools & technologiesAWSAzureCloudOpen SourcePythonTerraform
About the role
Key responsibilities & impact- Work on the core engine behind a production AI assistant
- Focus on retrieval, LLM orchestration, and answer quality
- Evolve AI-powered customer support from answering questions to executing requests
- Safely perform actions like placing orders or activating services in a regulated telecom environment
Requirements
What you’ll need- 3+ years
- Proficiency in building production Python services (async, API design)
- Experience designing and building REST APIs (and consuming them)
- Hands-on experience building RAG / retrieval-augmented generation systems (preferably LangChain, Langfuse, Llamaindex, FastAPI, Pydantic)
- Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and understanding of embeddings and similarity search
- Evaluating and validating LLM output quality (Azure OpenAI)
- Data ingestion and chunking/similarity search (for structured and unstructured data)
- CI/CD pipeline expertise (preferably Github)
- Familiarity with Infra as Code (Terraform) and API gateway
- Cloud expertise (preferably AWS)
- Writes automated tests as a habit (unit and integration testing with pytest)
- AG/LLM open source or published eval work, a GitHub profile showing real projects is a plus
Benefits
Comp & perks- Equal opportunities in recruitment and career development
- Fostering a work environment for diverse community
ATS Keywords
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Hard Skills & Tools
PythonAPI DesignRAG SystemsVector DatabasesData IngestionAutomated TestingUnit TestingIntegration TestingAsync ProgrammingSimilarity Search