Senior AI & ML Engineer
New
United StatesFull-TimeSenior
Salary194,000 - 228,000 USD per year
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Job Details
- Experience
- 5–8 years
- Required Skills
- PythonMachine LearningPrompt EngineeringLLMDistributed Systems
Requirements
- 5–8 years of software engineering experience, including at least 1+ year building production AI/ML or LLM-powered systems.
- Strong proficiency in Python and experience with LLM SDKs and agent frameworks (e.g., OpenAI Agents SDK or similar tools).
- Hands-on experience designing evaluation systems, prompt testing pipelines, or model quality frameworks.
- Solid backend engineering skills including APIs, distributed systems, state management, and cloud infrastructure.
- Experience with agentic workflows, tool calling, multi-agent orchestration, or similar AI system patterns.
- Strong understanding of prompt engineering, structured outputs, and LLM integration best practices.
- Excellent communication skills with ability to explain technical tradeoffs to both technical and non-technical stakeholders.
- Demonstrated ability to work in ambiguous environments with high ownership and delivery focus.
Responsibilities
- Design, build, and deploy LLM-powered features and agentic workflows in production systems used by end users at scale.
- Develop orchestration layers for multi-step AI systems, including tool use, routing, state management, and workflow coordination.
- Build and maintain evaluation frameworks, regression tests, and LLM quality pipelines to ensure consistent system performance.
- Implement prompt engineering strategies, structured outputs, and retrieval-augmented generation (RAG) patterns to optimize model behavior.
- Collaborate cross-functionally with product, data, and engineering teams to translate user needs into AI system designs.
- Define technical architecture and design decisions for scalable, maintainable AI systems in partnership with technical leadership.
- Continuously monitor system performance and iterate quickly based on experimentation, feedback, and production data.
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