Principal Engineer, AI Factory

Banyan Software is a company focused on acquiring and modernizing software businesses through shared AI expertise. They are seeking a highly experienced Principal Engineer to drive the engineering efforts for their AI Application Modernization Factory, focusing on designing and delivering AI-enabled software development automation tools and services.

Responsibilities:

• Hands-on Software Engineering: Act as a hands-on Principal Engineer, making significant code contributions, performing complex code reviews, and serving as the highest technical escalation point for engineering challenges in the AI Application Modernization Factory
• AI Automation System Development: Design, build, and deploy the core AI-enabled software development automation tools and services (e.g., custom agents, GenAI integrations) with a keen focus on legacy software analysis, requirement extraction, and architectural discovery leveraging multi-modal GenAI capabilities
• Technical Design & Implementation: Own the technical design and implementation of features and services, ensuring they adhere to the factory’s established technical architecture, design patterns, and engineering best practices
• GenAI Feature Integration: Implement Generative AI capabilities, including RAG (and GraphRAG) systems and LLM orchestration, into the automation tools to build new intelligent features and automate business processes
• Modernization Execution Support: Drive the technical strategy for developing automation tools that aid in modernizing legacy applications to a cloud-native, microservices, or serverless architecture across major cloud providers (AWS, Azure, GCP)
• Engineering Vision & Mentorship: Serve as a top technical authority, defining and enforcing engineering standards and quality across product areas. Lead, mentor, and coach senior and junior engineers, fostering a culture of technical excellence, continuous improvement, and knowledge sharing
• Engineering Excellence & Ownership: Drive an ownership mindset by taking pride in work quality and seeing projects through to successful deployment and operation. Set a high bar for engineering standards, security, and operational excellence
• Problem Solving: Apply strong analytical and structured problem-solving skills including technical problem definition, functional decomposition, and hypothesis-driven investigation to resolve complex engineering and operational challenges, with the ability to make confident technical decisions when problems or solutions are not well-defined (ambiguity)
• Security, Observability & Reliability: Implement secure-by-design principals along with robust cloud-native observability tooling to debug and monitor complex distributed systems, ensuring secure, high performance and high availability operations

Requirements:

• Bachelor's degree in Computer Science or equivalent technical area and/or experience
• 8+ years of progressive experience in Software Engineering, with significant time spent in a Principal Engineer, Staff Engineer, or Architect role
• Expert-level experience with Amazon Web Services (AWS) (e.g., EC2, Lambda, EKS, S3, RDS) and proven mastery of Infrastructure-as-Code (IaC) using Terraform for provisioning and managing large-scale cloud environments
• Deep expertise in container (e.g., Docker / Kubernetes) and serverless (e.g., Lambda, Azure Functions) technologies for building highly scalable and resilient distributed architectures
• Deep history of hands-on software engineering, making significant code contributions, and leading technical design and implementation
• Strong experience in building B2B and enterprise-scale applications and systems, successfully translating business capability and objectives into technical solutions
• Hands-on skills working with SQL and No-SQL databases
• Strong application development skills, including experience in modern technology languages such as Typescript, Python, C#, Java, Go, or Ruby
• Familiarity with advanced UI frameworks like React, NextJS and Vite
• Strong command of automation and modern DevSecOps practices, including deep experience with CI/CD platforms like GitHub Actions, GitLab CI, or similar tools
• Proven experience in advanced engineering practices, including code refactoring, modern design patterns (adaptor, onion, n-tier), Domain-Driven Design (DDD), and application security
• Uses pragmatic, quality-driven development habits and Twelve-Factor App fundamentals, including clean code, automation, stateless services, and clear configuration management
• Demonstrated experience working in Agile methodologies (e.g., Scrum, Kanban) and a comfort level with ambiguity and rapid changes common in early-stage product development
• Exceptional team collaboration and communication skills (both verbal and written), with a proven ability to work under competing priorities and manage expectations effectively with technical and business stakeholders
• Experience building and operating a multi-tenant SaaS (Software as a Service) solution at scale
• Prior experience leading a modernization or re-platforming effort for a large enterprise or B2B application
• Experience in multi-agent frameworks (e.g., crewAI, autogen) for sophisticated AI workflow orchestration
• Experience integrating GenAI capabilities using frameworks like Langchain or LlamaIndex
• Experience developing AI Agents along developing and connecting to MCP Servers and tools
• Familiarity with Context Engineering, agentic architectures, Hybrid Vector Databases (including knowledge graphs) and advanced proficiency in Prompt Engineering and Guardrail Design for enterprise AI safety