
Python AI Engineer – LLM & Agentic AI (Finance Data Platform)
Wissen Technology1 day ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build Python services that process and transform structured and unstructured finance data.
- Design and develop end-to-end RAG pipelines with document ingestion, chunking, embeddings, vector search, retrieval tuning, and grounding.
- Build AI agents and workflows using LangChain and LangGraph.
- Integrate LLMs with APIs, databases, and enterprise finance platforms.
- Evaluate LLM responses for quality, relevance, accuracy, and hallucination reduction.
- Optimize production AI systems for latency, reliability, scalability, and cost.
- Implement security, privacy, and access-control practices in regulated environments.
- Collaborate with product owners, data engineers, and stakeholders to deliver enterprise AI solutions.
- Mentor engineers and guide technical implementation decisions.
- Independently drive end-to-end AI product features and solutions.
Requirements
- 4–6 years of professional experience, including 4+ years of production-grade Python development with OOP, data structures, and error handling.
- Experience with LLM engineering using OpenAI, Azure OpenAI, Anthropic, or open-source models.
- Experience with LangChain and LangGraph for agentic AI workflows and tool orchestration.
- Experience developing RAG systems, including embeddings, vector databases, retrieval tuning, and grounding.
- Experience with FastAPI or Flask REST API development and integrations.
- Experience with Pandas and structured/unstructured data processing for AI applications.
- Experience with SQL and relational database querying in enterprise environments.
- Experience with Git, unit testing, code reviews, and software engineering best practices.
- BE/BTech/ME/MTech in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong written and verbal communication, problem-solving, architecture evaluation, and technical trade-off explanation skills.
- Preferred experience with Databricks, Mosaic AI, Vector Search, Unity Catalog, MLflow, Spark/PySpark, financial services or accounting domains, Oracle Cloud, Oracle Fusion, LangSmith, RAGAS, DeepEval, AI observability, AWS, Azure, GCP, or Docker.
Benefits
- Hybrid work arrangement in Bangalore.
Tech Stack
Apache SparkAWSAzureDatabricksDockerFastAPIFlaskGitGoogle Cloud PlatformMLflowOracle CloudPandasPythonSQL
Categories
About Wissen Technology
Wissen Technology is an IT services and consulting firm that builds custom software products, data platforms, and cloud/AI solutions for enterprises in finance, telecom, healthcare, retail, and manufacturing. It operates a services model spanning product engineering, application development, data engineering/analytics, and ERP integration, including Oracle Cloud. Founded in 2015 and headquartered in Bangalore, it is privately held with offices across India, the US, UK, UAE, and Australia.