Generative AI Engineer - Agentic Systems

We’re looking for a seasoned engineer to build and launch enterprise-level AI solutions powered by Generative AI and autonomous agents. You’ll work hands-on with AWS Bedrock, AgentCore, LangGraph, LangChain, MCP, and RAG to bring smart, production-ready applications to life. What You’ll Do Agent Development

• Architect and build single-agent and multi-agent systems on AWS AgentCore.
• Create and fine-tune agent workflows with LangGraph and LangChain.
• Give agents the ability to plan, reason, use tools, and retain memory.
• Define how agents talk to each other and to outside systems.
• Work with Model Context Protocol (MCP) and tool-calling designs.

RAG & GenAI Solutions

• Build large-scale RAG pipelines using AWS Bedrock foundation and embedding models.
• Shape the approach for vectorization, indexing, retrieval, re-ranking, and grounding.
• Set up prompt engineering frameworks and methods to evaluate GenAI output.
• Deliver chatbots, knowledge assistants, copilots, and AI-driven automation.
• Apply Bedrock Guardrails to keep solutions safe, compliant, and responsible.

Apps, APIs & Integration

• Expose AI features to enterprise apps through RESTful APIs.
• Connect agents to business apps, workflows, databases, and third-party systems.
• Build clean, easy-to-use front ends with React and modern UI tools.
• Create reusable, scalable AI services and microservices.

Cloud & DevOps

• Deploy and run AI solutions on AWS using Infrastructure as Code practices.
• Build and maintain infrastructure with Terraform.
• Set up and manage CI/CD pipelines in GitLab.

Standards & Collaboration

• Set best practices, standards, and reference designs for GenAI and agentic work.
• Partner with product owners, architects, data engineers, and business teams.
• Make sure every solution meets security, governance, compliance, and responsible AI needs.

• 7+ years in software engineering, with a strong track record in AI/ML.
• 4+ years hands-on with Generative AI, LLMs, and RAG.
• 2+ years building agentic or multi-agent systems.
• Proven experience shipping production AI apps in the cloud.
• Bachelor’s or Master’s in Computer Science, Engineering, AI, Data Science, or a related field.

Nice to Have

• Built enterprise AI copilots or conversational assistants.
• Advanced orchestration experience with LangGraph.
• Used frameworks to evaluate, test, and benchmark AI agents.
• Worked with knowledge graphs and graph-based reasoning.
• Set up Human-in-the-Loop (HITL) workflows.

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry. ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

ConglomerateIT LLC