Senior AI / ML Engineer (LLMs)
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Role details
Tech stack
Job description
This role will focus on building and optimizing AI capabilities that support document understanding, summarization, and decision-making workflows. You will lead technical efforts from concept through production, partnering closely with data labelers, subject matter experts, and cross-functional stakeholders to deliver scalable, reliable solutions. The work will combine modern Python engineering, LLMs, retrieval-augmented generation, and statistical modeling to improve model quality and business outcomes., * Lead AI/ML projects from ideation to ongoing optimization.
- Make high-level architectural decisions balancing system scalability and business impact.
- Design and deploy AI features for medical document synthesis and summarization.
- Develop hybrid machine learning solutions to enhance accuracy and scalability.
- Write efficient, scalable code while optimizing existing systems in production.
- Collaborate with data labelers and subject matter experts to improve AI model outputs.
- Partner with cross-functional teams to define requirements and iterate on feedback.
Requirements
- 5-8+ years of experience writing performant Python code following modern best practices.
- Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced environments.
- Proven experience leading technical projects from concept through production deployment.
- Experience making architectural decisions for AI/ML systems with a focus on scalability and reliability.
- Hands-on experience with hybrid approaches that combine LLMs, RAG, and statistical models.
- Strong skills in evaluating and interpreting LLM outputs to align with business outcomes.
- Expertise in prompt engineering for domain-specific applications.
Benefits & conditions
- Medical, dental, vision, short- and long-term disability, life insurance, and 401(k) matching
- 100% paid parental leave and flexible schedules for new parents
- Catered lunches, happy hours, and pet-friendly office spaces
- $1,000/year for professional development and tuition reimbursement opportunities
- Visa transfer sponsorship available for applicable candidates
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.
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