Agentic AI – Forward Deployed Engineer (FDE)

Platform: Kaman AI

About the Role

We are looking for a hands-on Agentic AI – Forward Deployed Engineer to work closely with enterprise clients to design, develop, and deploy AI-powered solutions using the Kaman AI Agentic AI Platform.

This role combines AI engineering, solution development, and client engagement. You will work directly with clients to understand their business challenges, identify AI automation opportunities, and translate requirements into functional, production-ready agentic AI solutions.

The ideal candidate is a strong problem solver who enjoys building real-world applications, integrating enterprise systems, and delivering measurable business outcomes using AI.

What You'll Do

• Work directly with clients to understand business processes, pain points, and opportunities for AI-driven automation.
• Design and develop agentic AI solutions using the Kaman AI platform for client-specific use cases.
• Build and orchestrate AI agents, multi-agent workflows, and automated business processes.
• Develop and integrate tools, APIs, and external services that enable AI agents to interact with enterprise applications.
• Implement RAG (Retrieval-Augmented Generation) solutions using knowledge bases, vector databases, and enterprise data sources.
• Work with LLMs, prompt engineering, tool/function calling, and context management to build reliable AI applications.
• Develop MCP (Model Context Protocol) servers and integrations to extend agent capabilities.
• Build backend services, APIs, and custom integrations using Python and related technologies.
• Develop rapid POCs and prototypes, validate solutions with clients, and convert successful implementations into production deployments.
• Troubleshoot agent execution, improve response accuracy, optimize performance, and manage LLM usage costs.
• Implement appropriate security, access controls, guardrails, and human-in-the-loop approval mechanisms.
• Collaborate with product and engineering teams to enhance reusable AI components and platform capabilities.
• Support client demonstrations, technical discussions, solution deployment, and post-deployment improvements.

What We're Looking For

• 4–7 years of experience in software development, backend engineering, AI application development, or related roles.
• Strong programming skills in Python, including API development and integration.
• Hands-on experience building applications using LLMs and Generative AI.
• Understanding of AI agents, agent orchestration, tool calling, and multi-step workflows.
• Experience with at least one AI development framework such as LangChain, LangGraph, CrewAI, or AutoGen.
• Working knowledge of RAG, embeddings, vector databases, and semantic search.
• Experience integrating REST APIs, databases, and third-party enterprise systems.
• Familiarity with MCP, agent tools, and function calling.
• Knowledge of SQL databases, preferably PostgreSQL.
• Understanding of Git, Docker, and cloud deployment fundamentals.
• Strong analytical, debugging, and problem-solving skills.
• Good communication skills and the ability to work directly with clients to translate business requirements into technical solutions.

Good to Have

• Experience deploying AI applications on AWS or other cloud platforms.
• Familiarity with FastAPI, Node.js, Redis, and asynchronous processing.
• Experience with enterprise workflows, business process automation, or system integration.
• Understanding of LLM evaluation, observability, prompt optimization, and agent security.
• Experience with OAuth2, authentication, authorization, and enterprise data security.
• Exposure to multi-agent systems and production AI deployments.
• Experience in client-facing engineering, technical consulting, or solution implementation roles.

What Makes This Role Different

Unlike a traditional backend or AI development role, this position provides an opportunity to work at the intersection of enterprise business problems, agentic AI technology, and real-world solution delivery.

You will not be limited to developing isolated AI features. You will take ownership of client use cases, from understanding requirements and designing solutions to implementing, deploying, and improving AI agents in production.

You will also work closely with the Kaman AI product engineering team, contributing insights and reusable components that help evolve the platform.

About Kaman AI

Kaman AI is an enterprise-focused Agentic AI platform designed to accelerate the development and deployment of intelligent AI agents, workflows, and business automation solutions.

The platform provides capabilities for AI agent orchestration, tool integration, MCP servers, knowledge bases, RAG, enterprise connectivity, and workflow automation.

Our goal is to help enterprises move beyond AI experimentation and implement practical, scalable, and secure AI solutions that solve real business problems.

Learn more: https://kaman.ai