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Role Summary
We are looking for an Agentic Engineer to design, build, and deploy enterprise‑grade autonomous and semi‑autonomous AI agents that power high‑impact decision workflows. This is a systems engineering role focused on moving solutions from proofs of concept (PoCs) to reliable, governed, production‑ready agentic systems operating at scale.
You will work across planning–execution–verification loops, tool‑using agents, multi‑agent coordination, and observability, tightly integrated with enterprise data, applications, and security controls.
Key Responsibilities
Requirements
Good to Have
Education
Experience
Job ID: 147191183
Skills:
Testing, Git, Docker, Kubernetes, LangChain, RAG systems, GenAI and Agentic AI, vector databases, embedding models, knowledge retrieval systems, prompt engineering, Crew.ai SK, Autogen, Advanced Python programming, LLM optimization techniques, async programming, RAG pipelines
Skills:
telemetry , Aws Cloud Computing, Typescript, Terraform, AWS Elastic Kubernetes Service EKS, HashiCorp Vault, OpenSearch Software, Amazon Aurora, Python Programming Language, GitHub Actions, AWS Key Management Service KMS, Prometheus Software
Skills:
Api Integration, Python, LangChain, LLMs, agentic frameworks, fine tuning techniques, AI ML frameworks, Planning Systems, ethical AI principles, AutoGen, reasoning algorithms, CrewAI, safety mechanisms, reinforcement learning, prompt engineering, tool augmentation
Skills:
New Relic, Java, Dynamodb, Jwt, Typescript, React, Kotlin, PostgreSQL, Spring Boot, React, AWS, Redis, FastAPI, Python, Graphql, Docker, Zilliz Milvus, GitLab CI, ElastiCache, LangChain, AWS Bedrock, OpenAI GPT-4, Google Gemini, Auth0, Anthropic Claude
Skills:
Jenkins, Python, GitLab CI, GitHub Actions, API integration test tooling, CI CD pipelines, test containers, pytest-based frameworks
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