AI Engineer – Agentic AI | Bedrock, LangChain & LangGraph
Synechron (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy scalable autonomous AI agents and multi-agent workflows using Amazon Bedrock, AgentCore, LangChain, LangGraph, MCP, and agent frameworks.
- Implement AI agent orchestration, planning, memory management, tool-calling, and apply AI agent design patterns to deliver reliable, maintainable generative AI solutions.
- Collaborate with product and engineering teams to translate business needs into AI-driven solutions and support full lifecycle from architecture to continuous improvement.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or related field (or equivalent experience).
- More than 6 years of professional experience in software engineering or AI engineering, with at least 2 years hands-on AI/generative AI/agentic AI solution development.
- Proven hands-on expertise in Python, Amazon Bedrock, AgentCore, LangChain, LangGraph, MCP, and Strands Agents SDK or similar agent frameworks.
- Work Experience Required: More than 6 years overall; AI-related hands-on experience at least 2 years. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and implementing enterprise-grade, cloud-deployed AI agents and multi-agent systems with emphasis on scalable architectures and operational efficiency.
- Expertise in AI agent orchestration and LLM workflow coordination, including prompt engineering, memory, planning, and tool integrations within regulated or operationally critical environments.
- Strong software engineering background capable of producing production-quality, testable, secure, and maintainable code, with ability to work across full development lifecycle and with cross-functional teams.