Job Summary:
Metropolis is creating artificial intelligence to make the real world responsive, pioneering the Recognition Economy. They are seeking a Senior AI Engineer to design and ship AI-powered tools and automation pipelines, transforming manual processes into AI-first workflows.
Responsibilities:
โข Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
โข Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
โข Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
โข Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
โข Own production reliability for the systems you build โ monitoring, alerting, and iterating on AI outputs to maintain quality over time
โข Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
โข Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture
Qualifications:
Required:
โข 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
โข Strong Python skills โ you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
โข Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
โข Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
โข Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
โข A strong instinct for product quality โ you care about whether the tools you build are actually useful, not just technically functional
โข Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection
Preferred:
โข Experience with vector databases, embeddings, or semantic search is a plus
Company:
Take the uncertainty out of smart contract deployments. Build confidence from the command line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.