# Senior AI Engineer
**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** New York, NY
**Salary:** $170K-$200K
**Experience:** 6+ years
**Skills:** Python, LLM APIs, Prompt Engineering, SQL, Snowflake, AWS, Airflow, Prefect, RAG, Agentic Workflows
**Posted:** 2026-05-13
> Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.
## Job Description
## What you'll do

- Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
- Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
- Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
- Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
- Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
- Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
- Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

## What we're looking for

- 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
- **Strong Python skills** — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
- Practical experience with **LLM APIs** (OpenAI, Anthropic, or similar), **prompt engineering**, and agentic patterns (function calling, multi-step reasoning, tool use)
- Familiarity with data engineering fundamentals: **SQL**, data transformation, working with cloud data warehouses (**Snowflake** preferred)
- Experience with workflow orchestration tools (e.g., **Airflow**, **Prefect**, or similar) and cloud infrastructure (**AWS** preferred)
- A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
- Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

**While not required, these are a plus:**
- Experience with vector databases, embeddings, or semantic search

## Our Stack

**Languages + Frameworks:** TypeScript, React, Scala (principally), Java (limited)  
**Datastores:** MySQL, PostgreSQL, Snowflake  
**Cloud:** AWS  
**Version control:** Git & GitHub  
**AI Tooling:** Copilot on GitHub and Claude Code  
**Observability:** Datadog

**Compensation:** Anticipated base salary $170,000 - $200,000 USD annually, plus benefits including healthcare, 401(k), stock options, bonus plans.
**Apply:** https://hotfix.jobs/jobs/senior-ai-engineer-at-metropolis-f4df1bd7-2f91-4142-97fe-7b6e210326a5
**Canonical:** https://hotfix.jobs/jobs/senior-ai-engineer-at-metropolis-f4df1bd7-2f91-4142-97fe-7b6e210326a5