Agentic AI Engineer

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.