Gen AI Engineer| 5 years

Required Skills

- Solid hands-on experience in Generative AI application development.
- Experience with Agentic AI, including Multi-Agent Orchestration and AI Observability.
- Minimum 2+ years of Python development experience.
- Experience in building and deploying RAG (Retrieval-Augmented Generation) solutions.
- Hands-on experience integrating and working with LLMs and AI agents.
- Experience monitoring AI applications in production, including evaluation frameworks, production metrics, and performance tracking.
- Ability to develop scalable AI solutions and take them from proof-of-concept to production.
- Candidates with 6 months to 1 year of Agentic AI experience can also be considered if they have strong Gen AI fundamentals.




- Background in AI/ML Engineering or MLOps with recent hands-on experience in Gen AI and Agentic AI.
- Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, etc.
- Experience with vector databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Milvus.
- Exposure to LLMOps, prompt engineering, and AI governance practices.
- Experience working with cloud platforms (Azure, AWS, or GCP) for AI workloads.
- Familiarity with model deployment, containerization (Docker/Kubernetes), and CI/CD pipelines.
- Knowledge of AI monitoring tools, tracing, and observability platforms.

If interested please reach us to [email protected] or (phone hidden)

📌 Gen AI Engineer (Bengaluru)
🏢 Artech
📍 Bengaluru