AI / Generative AI Engineer – Python, LLMs, RAG, AI Agents, Azure OpenAI & AWS Bedrock
Synechron (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy enterprise-scale Generative AI applications using LLMs, RAG pipelines, AI agents, and cloud AI services (Azure OpenAI, AWS Bedrock).
- Build scalable APIs and microservices integrating AI capabilities into enterprise applications using FastAPI and manage vector databases for semantic search and retrieval.
- Collaborate with cross-functional teams to deliver secure, maintainable, and measurable AI solutions that meet performance, reliability, governance, and production support requirements.
Minimum Requirements
- Minimum 6+ years of experience in software development or AI-focused roles involving Generative AI and large language models.
- Strong hands-on Python development skills for AI applications, including API development and data processing.
- Experience with Generative AI architectures including RAG, vector databases (e.g., Pinecone, FAISS), LangChain, AI agents, and integration with Azure OpenAI or AWS Bedrock services.
- Proficient in cloud platforms (Azure and/or AWS), containerization (Docker, Kubernetes), REST API development (FastAPI), CI/CD pipelines, and MLOps practices for model deployment and monitoring.
Ideal Candidate Profile
- Demonstrated track record delivering production-grade AI solutions that integrate multiple AI technologies at enterprise scale with attention to security, governance, and scalability.
- Experienced in collaborating closely with business stakeholders, solution architects, DevOps, and MLOps teams for end-to-end AI solution delivery and operational readiness.
- Technical expertise in prompt engineering, AI agent orchestration frameworks (LangChain, LangGraph), and optimizing LLM performance combined with experience in BFSI domain applications.