Agentic AI Engineer
Job location : Pune / Bengaluru (WFO - Hybrid mode)
Experience : Minimum 5 years
Stack : Python, cloudplatforms (any), CI / CD pipelines, agenticAI
Role summary
We are looking for a hands-onengineer who can design, build,and deploy agenticAI systems. You will own end-to-end work from prototype to production, own CI / CD and release flows, and collaborate with product and infra teams to ship reliable, secure solutions. Deep practical experience with agent frameworks and real deployments matters more than a single cloud vendor.
What you will do
- Build and extendagentic AI systems(multi-step agents, tool use, memory,orchestration).
- Prototype and productionize LLM-based solutions using retrievaland memory patterns.
- Design and operate CI / CD pipelines for model code, infra, and microservices.
- Deploy, monitor, and troubleshoot servicesin cloud environments.
- Work with vector stores,embedding pipelines, and RAG-style retrievalwhere needed.
- Write clean, testablePython and automation scripts.
- Collaborate with ML engineers, SRE, and product to define requirements and SLAs.
Must-have
5+ years of professional software engineering experience.Strong Python skillsand experience shippingproduction code.Hands-on experience with agentic AI or agent frameworks (examples : LangChain, AutoGen, custom agent implementations).Practical experience managing CI / CD pipelines (CI servers, pipelines as code, automated testing, deployment automation).Solid cloud experience - deploying and operating apps / services in at least one major cloud provider.Good debugging, observability, and incident-handling experience.Nice-to-have
Familiarity with vector databasesand embedding workflows (Pinecone, Weaviate, Milvus, FAISS).Experience with containerorchestration (Kubernetes / ECS) and infra-as-code.Familiarity with model monitoring, model versioning, or MLOps tooling.Prior work on multi-agent orchestration or distributed task queues.