Bangalore · Hybrid
Python AI Engineer
Full-timePosted 28 Oct
- Salary
- ₹16.8–18.5 LPAEstimated from AmbitionBox data for this role across companies. The employer has not stated pay.
- Experience
- 4–6 years
- Eligible batches
- 2020 · 2021 · 2022
- Degree
- B.E, B.Tech, M.E, M.Tech
- Location
- BangaloreHybrid
About the role
Wissen Technology is seeking a Python AI Engineer to create and sustain AI‑driven finance solutions for global financial services clients. The position blends Python development, large language model (LLM) engineering, and Retrieval‑Augmented Generation (RAG) pipelines to turn raw financial data into actionable insights. The role is full‑time, hybrid, and based in Bangalore, India, targeting professionals with 4‑6 years of relevant experience.
Responsibilities
- Design and implement Python services that ingest, clean, and transform structured and unstructured finance data.
- Build end‑to‑end RAG pipelines, handling document ingestion, chunking, embedding generation, and vector search.
- Develop AI agents and workflow orchestrations using LangChain and LangGraph.
- Integrate LLMs with REST APIs, relational databases, and enterprise finance platforms.
- Assess LLM outputs for relevance, accuracy, and hallucination mitigation, and optimise latency, scalability and cost.
- Apply security, privacy and access‑control standards suitable for regulated financial environments.
- Collaborate with product owners, data engineers and business stakeholders to deliver production‑grade AI features.
Eligibility
- 4‑6 years of professional experience in Python development and AI/ML product delivery.
- Degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline (B.E, B.Tech, M.E, M.Tech).
- Proven ability to mentor junior engineers and drive technical decisions independently.
- Strong written and verbal communication skills for both technical and business audiences.
Skills
- Core Python with OOP, data structures and production‑grade coding practices.
- LLM engineering using OpenAI, Azure OpenAI, Anthropic or comparable models.
- LangChain and LangGraph for agentic AI workflows.
- RAG development, including embeddings, vector databases and retrieval tuning.
- FastAPI or Flask for building RESTful services.
- Pandas for data manipulation and SQL for enterprise database interaction.
- Version control (Git), unit testing and code review processes.
Resume keywords
Terms from this listing. Many screening tools match exact words, so mirror the ones you genuinely have.
PythonLLMLangChainLangGraphRAGFastAPIFlaskPandasSQLGitDatabricksSparkFinancial servicesOracle cloudDocker
Tailor my resume with these →Benefits
- Opportunity to work on cutting‑edge AI products for the finance sector.
- Hybrid work model offering flexibility between office and remote.
- Exposure to advanced AI tooling and cloud platforms.
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