Staff AI Full-Stack Engineer

What You’ll Do

• Lead the development of high-quality applications that are robust, observable and measurable. Using extreme programming (XP) practices and a user-centric approach
• Navigate the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team
• Leverage critical thinking, lead lean experimentation and influence decisions backed by data and industry best practices to implement desired business outcomes
• Establish and lead product engineering and software standards and continuously elevate existing standards using the new ones in the industry
• Mentor junior team members in pairing sessions, one-on-ones and ad-hoc as the need arises, and create teachable moments
• Contribute to cultural transformation by modeling partnership, collaboration, and technical initiatives and giving and receiving feedback regularly both within the team and across the organization
• Champion XP practice and knows when to customize it for effectiveness and also engages in conversations around practice, processes and community
• Additional tasks may be assigned

Addendum

STAFF AI SOFTWARE ENGINEER

• Design and build modular, headless AI backend services, advanced RAG architectures, and multi-agent orchestration workflows (e.g., LangChain, AutoGen, CrewAI).
• Construct enterprise-grade Model Context Protocol (MCP) gateways, Application Programming Interface (API) integration/mediation layers, rate limiters, and security proxies that allow autonomous agents to safely read and write to enterprise systems.
• Develop lightweight, streaming simulation frontends ("Dry-Run" interfaces) solely to validate agent behaviors, prompt strategies, and human-in-the-loop workflows during pilot discovery.
• Collaborate with Applied/Data Science and Machine Learning specialists to fine-tune Small Language Models (SLMs), execute weight quantization (AWQ/GPTQ), and optimize GPU memory utilization for high-throughput inference.
• Instrument distributed tracing, token utilization logging, and inference latency telemetry across the AI stack.
• Package reusable code libraries, containerized microservices, and integration SDKs for domain delivery and implementation teams.
• Architect resilient Compound AI Systems that orchestrate dynamic routing between deterministic APIs, specialized SLMs, and frontier LLMs.
  

Requirements

• 6+ years of demonstrated experience building and scaling production applications using foundation models, RAG, or agentic workflows
• 6+ years of experience integrating AI applications securely with enterprise data, APIs, and identity/access controls
• 4+ years of experience evaluating and optimizing AI application quality, latency, reliability, and cost

What Skills You Have

Required

• 6+ years of experience in software development
• Proven ability to manage multiple competing priorities
• Advanced knowledge of application design patterns, event-driven architecture, database schemas, and testing strategies
• Experience with large-scale application troubleshooting and performance tuning
• Demonstrated experience working with major cloud platforms (GCP, AWS, or Azure)
• Knowledge and experience with continuous integration, continuous deployment, and test-driven development

Preferred

• Bachelor's Degree or equivalent in MIS, Computer Science or related field
• Familiarity and experie

Essential Functions