Design and implementation of reliable, maintainable, and scalable GenAI systems in production.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration.
Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation.
Ability to take a proof of concept and turn it into production capable system.
Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions.
Present findings, insights, and system results to technical and non technical stakeholders.

Authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.
Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field.
3-5 years of experience designing, building, and deploying scalable production applications.
Strong proficiency in Python.
Hands on experience of distributed computing and cloud platforms (e.g., AWS, Kubernetes, Terraform, CI/CD frameworks).
Excellent communication and collaboration skills.
Nice to haves: Experience with prompt engineering, RAG systems, and LLM evaluation.
Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen).
Experience with workflow orchestration tools (e.g., Airflow, Prefect, Temporal) for managing complex ML/GenAI pipelines.
Familiarity with vector databases and retrieval-augmented generation (RAG) patterns.
Experience evaluating and mitigating LLM risks (hallucinations, bias, safety)

Competitive compensation ranging from $150,000
$180,000 per year PLUS quarterly bonus.
Medical, dental, vision, 401k program, and more.
Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI.
Joining a rapidly growing organization.

Senior Machine Learning Engineer

Key skills