Principal AI Engineer

Responsibilities

• Ship production AI/ML features: Design, build, and deploy GenAI integrations, agentic workflows, RAG and GraphRAG systems, and ML-powered functionality into the OpCo's modernized applications.
• Orchestrate and integrate LLMs: Implement LLM orchestration, prompt and context engineering, guardrails, and evaluation to deliver reliable, safe, production-grade AI.
• Engineer cloud-native services: Build scalable, secure, resilient services that host and serve AI capabilities, as a strong hands-on contributor.
• Build agents and tooling: Develop AI agents and tooling, including building and connecting MCP servers and tools, and champion agentic development practices across the pod's SDLC.
• Own data and retrieval: Design the data, retrieval, and vector or knowledge-graph infrastructure that powers GenAI features, with quality, performance, and security built in.
• Own technical design and quality: Lead design and implementation for AI features, write clean, well-tested code, and uphold engineering standards, security, and observability.
• Collaborate and mentor: Partner with the Architect and senior engineers, and coach the team on AI/ML engineering best practices.
• Apply pragmatic judgment: Know where AI adds real value versus risk, and navigate a fast-moving landscape with a clear head.
• What You Bring
• Experience: 8+ years in software engineering, with significant hands-on experience implementing ML/AI features in production.
• Applied AI/ML: Demonstrated experience implementing GenAI capabilities (RAG and GraphRAG, LLM orchestration, prompt and context engineering, guardrail design) and/or ML features in production systems.
• Agentic and GenAI frameworks: Hands-on experience with GenAI frameworks (LangChain, LlamaIndex), multi-agent frameworks (crewAI, AutoGen, or similar), and developing AI agents and MCP servers and tools.
• Software engineering depth: Strong full-stack ability with solid SQL/No-SQL and API design skills.
• Modern tech stacks: Hands-on production experience with at least two of: .NET Core, Python, TypeScript, and Java.
• AI-native tooling: Fluency with AI-assisted development tooling (Claude Code or similar) as a daily, core part of your workflow.
• Engineering principles: Solid grounding in DDD, design patterns, clean code, test-driven development, and application security.
• DevSecOps: Experience with CI/CD (GitHub Actions, GitL

Benefits

Additional Information

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. We are on a mission to acquire, build, and grow great companies worldwide, helping them modernize through shared AI expertise and operational discipline. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. Banyan is Great Place to Work Certified, a five-time Inc. 5000 honoree, and a top 10 company on the Deloitte Technology Fast 500. Founded in 2016 and headquartered in Atlanta, Banyan operates more than 100 portfolio companies across North America, the UK, EU, and APAC. Principal AI Engineer TechGrove AI Engineering Pod You build the intelligent features that make software feel like magic, and you make them work in production. You are equally at home shipping a clean API, standing up a RAG pipeline, evaluating an agent, or tuning guardrails so an LLM behaves safely at scale. You are excited by the current moment in AI and pragmatic about where it actually adds value. As Principal AI Engineer, you design and build the AI capabilities that differentiate an OpCo's modernized applications: GenAI features, agentic workflows, and ML-powered functionality, integrated safely and reliably. You work side by side with the Technical Lead / Architect, contribute as a strong full-stack engineer, and help the whole pod raise its game in AI-native development. If you want to turn the frontier of applied AI into shipped, dependable product features, this role is for you. About the Pod A TechGrove AI Engineering Pod is a self-contained, AI-native software delivery team that we embed inside one of our Operating Companies (OpCos) to build, modernize, and ship production software. Each pod pairs senior engineering talent with agentic AI tooling such as Claude Code, plus the accelerators of Banyan's AI Application Modernization Factory, to deliver at a velocity and quality bar a traditional team cannot match. A pod is typically four to eight people, and OpCos add more pods as their ambitions grow. You will work as part of a tight, high-trust team with real ownership of what you build. Pods are delivered from Banyan's India-based TechGrove.

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