Job Description
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We are looking for a skilled Agentic AI Engineer with hands on experience in designing and delivering production grade Agentic AI solutions.
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The ideal candidate should have solid expertise in Python, LangGraph, LLM orchestration, prompt engineering, and tool/API integration.
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Experience with AWS platform engineering and cloud native application development is highly desirable.
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Key Responsibilities
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Design, develop, and deploy enterprise scale Agentic AI applications and multi agent workflows.
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Build AI agents using LangGraph, LLM frameworks, and advanced orchestration patterns.
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Implement prompt engineering, guardrails, evaluation frameworks, and agent memory/reasoning capabilities.
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Integrate AI agents with enterprise APIs, databases, external tools, and business applications.
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Develop RAG based solutions leveraging vector databases and knowledge repositories.
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Collaborate with platform, DevOps, and architecture teams to ensure scalable, secure, and production ready deployments.
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Contribute to AI platform engineering, monitoring, observability, and CI/CD practices.
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Required Skills
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Hands on experience with LangGraph and LLM orchestration frameworks.
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Expertise in Agentic AI, Generative AI, multi agent systems, and AI workflow design.
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Advanced prompt engineering and model evaluation techniques.
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Experience with REST APIs, tool integrations, and enterprise application connectivity.
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Knowledge of RAG architectures, embeddings, and vector databases.
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Strong understanding of software engineering best practices and cloud native development.
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Preferred Skills
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AWS (Bedrock, Lambda, EKS/ECS, API Gateway, S3, Terraform).
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Docker, Kubernetes, MLOps, and CI/CD pipelines.
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Experience with LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
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Exposure to enterprise AI governance, observability, and security frameworks.
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Qualification
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Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field.
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Priority Skills: Python, LangGraph, Agentic AI, LLM Orchestration, Prompt Engineering, Tool/API Integration, RAG, AWS Platform Engineering.
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