AI Developer (Bangalore) bei Top SAP Partners for Successful Digital Transformation

AI Developer (4+ Years) 

Role Overview:
Design and build intelligent, retrieval-augmented generation (RAG) systems. Work end-to-end—from document chunking and embeddings to vector search, LLM integration, and production APIs using Python and Flask.

Key Responsibilities:

• Create pipelines for document ingestion, chunking (semantic or token-based), and vector embeddings.

• Manage and query vector databases (e.g., FAISS, Pinecone, Chroma) to retrieve contextually relevant data.

• Integrate LLMs (OpenAI, LLaMA, etc.) into RAG workflows.

• Develop RESTful APIs using Flask for RAG-powered services.

• Optimize pipeline performance—context length, retrieval accuracy, and latency.

• Deploy and monitor systems in production environments (cloud preferred).

Required Skills:

• 4+ years in AI/ML development, particularly with RAG pipelines.

• Strong proficiency in Python and experience with Flask.

• Hands-on with chunking strategies, embedding models, and LLM frameworks (e.g., LangChain, LlamaIndex).

• Familiarity with vector databases (FAISS, Pinecone, etc.) and prompt engineering.

• Experience deploying AI solutions on cloud platforms (AWS, GCP, Azure).