- Platform Architecture: Design and develop the core backend services, APIs, and microservices that enable product teams to easily and securely leverage AI models.
- Agent Orchestration: Build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory.
- Evaluation & Reliability: Build robust evaluation systems to continuously measure reasoning quality, hallucination rates, and task success.
- Operational Excellence: Architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling.
- Observability & MLOps: Ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models.
- Collaboration: Partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle.
- Leadership: Advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers.
Requirements
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
- 2+ years of professional software engineering experience
- Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers
- Excellent debugging and technical investigation skills
- Strong technical communication, ideally with experience collaborating in an asynchronous remote environment
- Ability to move fast and iterate in ambiguous environments: you take ownership and focus on delivering value to users
- Hands on experience integrating and orchestrating LLMs and agents
- Experience building AI native systems, including iteratively improving and scaling them in production
- Familiarity with techniques used to optimize AI agents: eval frameworks, agent tooling, vector search engines, context engineering, and prompt engineering.
- A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.
Core Competencies
Demonstrates expertise in Platform Architecture, including the design and development of backend services and APIs, while ensuring operational excellence in AI systems. Proficient in collaborating with cross-functional teams and mentoring junior engineers to uphold software engineering best practices.
Highest-signal resume keywords
- Platform Architecture
- AI Native Systems Development
- LLM Integration and Orchestration
- Debugging and Technical Investigation
- Technical Communication
Hard Skills
- Backend Development
- API Development
- Microservices
- Full-Stack Fundamentals
- Evaluation Frameworks
- Agent Tooling
- Vector Search Engines
- Context Engineering
- Prompt Engineering
Soft Skills
- Collaboration
- Mentoring
- Ownership
- Adaptability
Certifications & Qualifications
- Bachelor's Degree in Computer Science
- Bachelor's Degree in Mathematics
Industry Keywords
- AI Models
- Task Decomposition
- Agent Workflows
- Operational Excellence
- Cost-Efficiency
Tools & Technologies
- MLOps
- Observability Tools
- Distributed Tracing
- Structured Logging