Senior AI Engineer
Finastra (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deploy end-to-end production-grade AI agents using large language models integrated into applications.
- Develop AI architecture patterns (e.g., RAG, text-to-SQL, multi-agent) and maintain AI workflows and pipelines using frameworks like LangChain or LangGraph.
- Implement secure, compliant AI systems with monitoring, observability, automated deployment (CI/CD), and tool orchestration across enterprise services.
Minimum Requirements
- Strong proficiency in Python for AI/ML development.
- Hands-on experience with AI frameworks like LangChain, LangGraph, CrewAI, or equivalent.
- Understanding of LLM fundamentals, prompt engineering, AI agent design patterns, and vector databases (e.g., Pinecone, Weaviate).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building secure, enterprise-grade AI solutions with data governance, compliance, and cybersecurity (including prompt injection risk mitigation).
- Familiarity with cloud deployment of LLMs on platforms such as Azure OpenAI or AWS Bedrock and using CI/CD for model deployment automation.
- Proficient in AI system observability, monitoring, and using Model Context Protocol (MCP) or similar orchestration frameworks for scalable multi-agent AI workflows.