GenAI Engineer
Indexed description
Design, develop, and deploy enterprise Generative AI solutions using LLMs, RAG, and cloud technologies to enhance customer and business applications.
Key Responsibilities
- Build GenAI applications using LLMs and RAG.
- Develop APIs and microservices with Python/FastAPI.
- Integrate AI solutions with AWS (e.g., Bedrock) and enterprise systems.
- Optimize prompts, embeddings, and model performance.
- Implement LLMOps/MLOps pipelines for deployment and monitoring.
- Ensure security, scalability, and compliance.
- Collaborate with cross-functional teams.
Required Skills
- Python, FastAPI
- LLMs, Prompt Engineering, RAG
- LangChain/LangGraph
- Vector databases (Pinecone, FAISS, ChromaDB)
- AWS (Bedrock, Lambda, S3)
- Docker, Kubernetes, Git, CI/CD
- SQL/NoSQL databases
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science or related field.
- Experience with enterprise AI applications, cloud platforms, and financial services is a plus.
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