Staff Product Engineer
Austin, TX · On-site
Key Responsibilities * Own delivery of ML-powered features from concept through production. You are responsible for the feature working in practice. * Work side by side with our ML experts to drive ...
21 Circuit Jobs Hiring Near You
Staff Product Engineer
Austin, TX · On-site
Key Responsibilities * Own delivery of ML-powered features from concept through production. You are responsible for the feature working in practice. * Work side by side with our ML experts to drive ...
Circuit Jobs Information
What are the most popular cities for Circuit jobs?
What are the most popular states for Circuit jobs?
What are the most popular job types at Circuit?
Full-time
Medical, Retirement, PTO
Posted 14 days ago
Job description
Key Responsibilities
- Own delivery of ML-powered features from concept through production. You are responsible for the feature working in practice.
- Work side by side with our ML experts to drive ideas into reliable, production-ready systems.
- Engage directly with customers and internal stakeholders to understand real-world usage and translate those insights into product and engineering decisions.
- Use AI coding tools (Cursor, Claude Code, or similar) as a primary part of your daily workflow to read, write, and test code, while critically evaluating output and catching subtle errors before they ship.
- Ensure models, retrieval systems, and agent workflows function correctly together across the full system.
- Lead implementation of ML-driven features, coordinating with ML engineers and the rest of the team to get features shipped.
- Build and maintain evaluation systems, including datasets, scoring approaches, and repeatable testing to detect regressions.
- Design and iterate on prompts and agent instructions to ensure correct and predictable system behavior.
- Establish and improve observability, debugging, and testing practices for ML systems.
- Improve the structure, reliability, and maintainability of the ML codebase while preserving development speed.
- Work primarily in Python, and contribute in Go and other languages where needed.
- Modify and work with pipelines, retrieval systems, and model behavior when required.
- Advocate for the right technical approach and push back when needed to keep the work grounded in customer outcomes.
- Orchestrate workflows across APIs, external systems, and multiple data sources.
- Balance rapid experimentation with longer-term system quality.
- Work with customers and internal stakeholders to ensure solutions align with real-world usage.
Experience
- Strong software engineering background, with experience building and owning production systems end to end.
- Strong proficiency in Python and Go, with a track record of building well-structured and maintainable systems.
- Daily, fluent use of AI coding tools (Cursor, Claude Code, or similar) as a core part of your engineering workflow. You write effective prompts, iterate when output is wrong, and reliably distinguish working code from code that only looks right.
- Experience delivering complex features in production environments, ideally involving ML or AI systems.
- Demonstrated ability to take ownership of ambiguous problems and drive them to working solutions.
- Hands-on experience building with LLMs, RAG systems, and agent-based workflows, with a solid conceptual grounding in how these systems work, fail, and need to be evaluated.
- Experience working with LLMs, RAG systems, or agent-based workflows.
- Experience integrating multiple systems, APIs, and data sources into cohesive product functionality.
- Experience designing or working with evaluation systems for ML quality.
- Experience debugging production systems, including handling edge cases and failure modes.
- Experience with observability and debugging in ML or backend systems.
- Experience working with pipelines, retrieval systems, or model behavior such as ranking, fine-tuning, or prompt tuning.
- Comfortable operating in fast-moving environments with high ownership.
- Experience working with customers or customer-facing systems, incorporating feedback into what gets built.
- Familiarity with frontend or full-stack development.
- Experience with MLOps systems, data pipelines, or production ML infrastructure.
- Familiarity with open source models such as LLaMA, Qwen, DeepSeek, Kimi, or similar.
Human Skills
- Ownership mindset with a focus on delivering working systems in production.
- Strong product judgment, with an understanding of how system behavior impacts user experience and trust.
- Critical evaluation of AI output. You spot hallucinated APIs, incorrect logic, and subtle bugs in generated code before they reach production.
- Bias toward action, with a focus on learning through building and iteration.
- Ability to operate effectively in ambiguous environments.
- Systems thinking, including attention to correctness and failure modes.
- Curiosity about how systems behave in practice and how customers use them.
- Low ego, with a focus on team outcomes.
What We Offer
- Early-Stage Ownership: Join at the ground floor of a company with real traction and momentum.
- Empowered Culture: We value autonomy, candor, and craft. You'll be trusted to lead.
- Cutting-Edge Tech: Work with the latest in AI, backend systems, and intelligent infrastructure.
- Meaningful Impact: Shape a platform that transforms how organizations activate knowledge.
- Holistic Benefits: Competitive comp, equity, 100% paid healthcare, 401K, flexible PTO, and a team that truly cares.
apply for this job