Generative AI Engineer
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We are looking for an experiencedGenerative AI Engineer / Technical Lead to design and develop enterprise AI solutions, with a focus onGenerative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and financial document intelligence .
The role involves developing scalable AI applications and backend services, integrating LLM technologies with enterprise systems, and providing technical leadership for AI engineering initiatives.
Key Responsibilities- Design and developGenerative AI and RAG-based applications for enterprise and financial document use cases.
- DevelopAI agents and agentic workflows using LangChain, LangGraph or similar frameworks.
- Build retrieval solutions usingembeddings, vector databases, semantic search, reranking and contextual retrieval .
- Develop AI-powered solutions forfinancial document analysis, comparison, validation and information extraction .
- Integrate LLM platforms includingOpenAI, Claude, Llama and AWS Bedrock .
- Implement AI evaluation, observability and safety mechanisms to improve response accuracy and reduce hallucinations.
- Develop scalable backend services and APIs usingPython, FastAPI and microservices architecture .
- Work withPostgreSQL, MongoDB, Redis and vector databases .
- Deploy and manage applications usingAWS, Docker and Kubernetes .
- Develop CI/CD pipelines and follow software engineering practices including testing, code quality and version control.
- Provide technical guidance and mentorship to engineering team members.
- Collaborate with product and business teams to translate requirements into scalable AI solutions.
- Minimum8 years of software engineering experience , including relevant experience in Generative AI.
- Strong hands‑on experience inPython and backend development.
- Experience developingRAG, LLM and AI-agent based applications .
- Hands‑on experience withLangChain, LangGraph or equivalent frameworks .
- Strong understanding ofvector databases, embeddings and semantic search .
- Experience withWeaviate, Pinecone, Qdrant or similar technologies .
- Experience withOpenAI, Claude, Llama or AWS Bedrock .
- Experience withFastAPI, REST APIs, microservices and scalable backend systems .
- Good knowledge ofSQL, PostgreSQL, MongoDB and Redis .
- Experience withAWS, Docker, Kubernetes and CI/CD .
- Knowledge ofAI evaluation, prompt engineering, guardrails and security .
- Strong analytical, problem‑solving and communication skills.
- Experience infinancial services, investment management, insurance or financial document processing .
- Experience inKYC/AML, compliance or financial document intelligence .
- Knowledge ofLangSmith, RAGAS, Arize Phoenix or similar AI evaluation tools .
- Experience withAWS Textract or document extraction technologies .
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