Senior Software Engineer, AI Platform & Agents

Responsibilities

AI Platform Engineering: Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows.

Scientific Collaboration: Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services.

Data Strategy: Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context.

Internal Onboarding: Act as a technical consultant and facilitator for other engineering teams, helping them successfully onboard their specific AI use cases onto the platform.

Design & Document: Design, document, and deploy public AI interfaces that provide an exceptional developer experience for internal users.

Operational Excellence: Collaborate with Site Reliability Engineers (SRE) to deliver AI applications in a repeatable, stable, and highly efficient software development lifecycle.

Quality Engineering: Develop comprehensive test cases for AI models and workflows, working with QE to ensure deterministic and reliable outcomes in a non-deterministic AI landscape.

Skills and Qualifications

Core Development: Expert-level API and service development in Python (required) and/or Go. Experience with SQL, database management.

AI Architecture: Hands-on experience building RAG pipelines, managing vector databases, and orchestrating multi-agent systems.

Cross-Functional Fluency: Proven ability to communicate technical requirements effectively across Data Science, Data Engineering, and Product domains.

Cloud Native Principles: Deep understanding of production-tested principles including horizontal scaling, 12-factor application design, and security principles like OWASP.

Observability: Experience monitoring AI performance and analyzing model/software errors using tools like Sentry, DataDog, or Jaeger.

DevOps Tools: Proficiency in container-based development with Docker and source control via Git.

Experience: At least 5+ years of hands-on software development experience.

Bonus Points

• Experience with AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, LiteLLM, or CrewAI).
• Production experience with distributed, event-driven, and message-driven architectures.
• Experience building self-service "Platform-as-a-Product" for internal developers.

Compensation

The US base salary for this position ranges from $150,000/year in our lowest geographic market up to $200,000/year in our highest geographic market.