
Artificial Intelligence Engineer
1 week ago
Role & responsibilities
- Design and implement AI agents using LangChain and LangGraph.
- Integrate LLMs with external APIs, databases, and enterprise systems.
- Develop retrieval-augmented generation (RAG) pipelines for knowledge-grounded AI.
Optimize prompts, agent workflows, and tool usage for efficiency and accuracy.
Collaborate with product, data, and engineering teams to build end-to-end AI applications. - Ensure scalability, reliability, and monitoring of deployed AI solutions.
Primary Skills:
- Strong proficiency in Python (FastAPI/Flask/Streamlit experience preferred).
- Hands-on experience with LangChain, LangGraph, and LLM orchestration.
- Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma).
- Experience with RAG pipelines and embedding models.
- Solid understanding of APIs, microservices, and event-driven architectures.
- Strong grounding in ML/AI concepts, including prompt engineering and fine-tuning.
Good to have:
- Familiarity with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes).
- Background in data engineering / pipelines for feeding AI systems.
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