Software Engineer, AI Platform

About the role

We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast-paced, newly formed team with a mandate to empower AI development across the company.

Responsibilities

• 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.

Qualifications

• Compensation: The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.
• Benefits & Perks: Comprehensive Medical, Vision, and Dental Care, Mental Wellness Benefit, Generous Vacation Policy & Additional Company Holidays, Enhanced Parental Leave, Volunteer Time Off, Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break.

Skills

• Experience with AI platforms and tools
• Knowledge of machine learning and deep learning concepts
• Experience with cloud platforms (AWS, Google Cloud, Azure)
• Experience with distributed systems and microservices architecture
• Experience with observability and MLOps tools
• Experience with CI/CD pipelines

Benefits

• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Pay

The total target cash compensation (TTCC) for this role is $188,000 - $254,000 USD.

Schedule

This is a full-time position.