AI Engineer

We're looking for an AI Engineer to join our Professional Services team. You'll work directly with enterprise customers to design, build, and optimize production-grade AI agent systems. This role combines software development, AI/ML expertise, and customer-facing skills, covering multi-agent system design, evaluation framework implementation, and requiring deep technical expertise in agent engineering with understanding of cloud infrastructure and deployment patterns. You'll contribute to customer success and shape best practices with cutting-edge AI technology.

Must Have

• Design, build, and optimize production-grade AI agent systems
• Implement agent logic using langchain/langgraph
• Design comprehensive evaluation frameworks
• Optimize prompts with A/B testing
• Implement state management (short-term and long-term memory)
• Design RAG patterns with vector store integration
• Guide customers on agent deployment and configuration management
• Integrate agents into CI/CD pipelines
• Set up observability using LangSmith
• 5+ years of experience in software development
• 2+ years focused on AI/ML applications or agents
• Strong Python and/or TypeScript development skills
• Understanding of cloud platforms (GCP, AWS, or Azure)
• Knowledge of containerization and CI/CD concepts
• Strong communication and problem-solving skills

Good to Have

• Customer-facing experience with enterprise customers
• Experience conducting technical assessments or code reviews
• Former founder background

Perks & Benefits

• Competitive compensation
• Base salary
• Meaningful equity
• Health and dental coverage
• Flexible vacation
• 401(k) plan
• Life insurance

About the Role

We're looking for an AI Engineer to join our Professional Services team. You'll work directly with enterprise customers to design, build, and optimize production-grade AI agent systems. This role combines software development, AI/ML expertise, and customer-facing skills, you'll work on everything from multi-agent system design to evaluation framework implementation, requiring deep technical expertise in agent engineering with understanding of cloud infrastructure and deployment patterns.

You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.

What You'll Do

• Agent Engineering & Development: Design multi-agent systems with Subagents/Handoffs/Router patterns, implement agent logic using langchain/langgraph, design comprehensive evaluation frameworks, optimize prompts with A/B testing, implement state management (short-term and long-term memory), and design RAG patterns with vector store integration
• Deployment & Operations: Guide customers on agent deployment and configuration management, integrate agents into CI/CD pipelines, collaborate with Solution Architects on infrastructure requirements, and set up observability using LangSmith
• Customer Engagement & Assessment: Lead agent engineering maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Solution Architects, Engagement Managers, and Product/Engineering teams

What We're Looking For

Required Experience

5+ years of experience in software development with 2+ years focused on AI/ML applications or agents. Customer-facing experience is preferred. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply.

Agent Engineering & Development:

• 2+ years of experience building production AI/ML applications or agents
• Strong experience with LLM frameworks (langchain/langgraph, or similar) for building agent-based applications
• Strong experience with state management (short-term and long-term memory)
• Experience designing and implementing evaluation frameworks for AI applications (LLM-as-judge, deterministic evaluators)
• Strong prompt engineering skills with experience in optimization, externalization, and A/B testing
• Experience with vector stores, RAG patterns, and knowledge organization
• Experience with MCP/tool integration, API design, and error handling patterns
• Strong Python and/or TypeScript development skills with production-grade code quality

Infrastructure & Cloud:

• Understanding of cloud platforms (GCP, AWS, or Azure) and common services
• Knowledge of containerization and container orchestration concepts
• Understanding of CI/CD concepts and experience integrating applications into CI/CD pipelines
• Understanding of networking, security (authentication, authorization), and observability concepts
• Ability to collaborate with infrastructure teams on deployment requirements

Customer-Facing:

• Customer-facing experience with enterprise customers (preferred)
• Experience conducting technical assessments or code reviews
• Strong communication skills with ability to explain technical concepts to diverse audiences
• Strong problem-solving skills with ability to analyze complex requirements and design elegant agent solutions
• Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation

Compensation

$160K - $180K

We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location.