Python AI Engineer - LLM & Agentic AI (Finance Data Platform)
Wissen Infotech (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain AI-powered finance applications using Python, focusing on LLMs, Agentic AI frameworks (LangChain, LangGraph), and RAG architectures.
- Design end-to-end RAG pipelines including document ingestion, embeddings, vector search and build AI agent workflows for finance data processing.
- Ensure production-grade service reliability, security, and scalability while collaborating with product and data teams to deliver enterprise AI solutions.
Minimum Requirements
- 4-6 years of experience in Python development with OOP, data structures, and production-grade software engineering.
- Proficiency in LLM engineering using OpenAI, Azure OpenAI, Anthropic, or open-source models and RAG development involving embeddings and vector databases.
- Experience with LangChain, LangGraph, FastAPI or Flask REST APIs, Pandas for data processing, SQL querying, and software best practices (Git, unit testing, code reviews).
- Education: BE/BTech/ME/MTech in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field; Location: Bangalore; Mode of Work: Hybrid.
Ideal Candidate Profile
- Experienced in building scalable AI systems specifically in finance-related data environments with strong ownership of end-to-end AI product features.
- Technical mentor or leader capable of guiding teams on AI implementation and making architectural trade-offs for reliability and cost.
- Comfortable working in regulated enterprise settings emphasizing security, privacy, and compliance alongside cross-functional teams.