What are the responsibilities and job description for the AI/ML Engineer position at iAppsData Inc?
Job Details
Key Responsibilities:
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using LangChain and LangGraph.
- Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin or other OSS-compatible vector stores).
- Handle complex query chaining, prompt orchestration, and data retrieval using custom agents and tools.
- Work on graph-based knowledge representation and retrieval using technologies like Neo4j or Stardog, or similar (preferred).
- Collaborate with data science and engineering teams to enable end-to-end use case delivery.
- Optimize performance for multi-document, multi-hop reasoning over structured/unstructured data.
Required Skills:
- Strong hands-on experience with Python, LangChain and LangGraph
- Experience implementing RAG pipelines using open-source vector stores
- Familiarity with Graph Databases and GraphQL
- Good understanding of LLMs, embeddings, and prompt engineering
- Experience with AWS services (S3, Lambda, ECS/EKS, etc.)
- Familiarity with FastAPI or Flask for API deployments
- Good to heve Version control and DevOps exposure (Git, Docker, CI/CD pipelines)
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