ML/LLM Engineer - Applied AI at Syndesus – Austin, Texas

About Our ClientOur client is revolutionizing healthcare by streamlining knowledge workflows with AI. They reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. They’re growing fast and looking for bold, driven teammates to join them.
The OpportunityOur client is seeking a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver measurable impact.
What You’ll Do

• Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
• Fine-tune and evaluate LLMs using both open-source and proprietary data
• Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
• Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
• Monitor and improve model quality, latency, explainability, and safety
• Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications

• 3–6 years of experience in applied ML, with at least 1–2 years working with LLMs
• Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
• Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
• Bias for experimentation, clarity, and pushing solutions into production quickly
• Understanding of responsible AI practices, model evaluation, and observability
• Experience in healthcare, compliance-sensitive data, or regulated environments

What Our Client Offers

• Opportunity to make a real impact on the future of healthcare
• Autonomy, ownership, and growth potential
• 100% employer-paid health, vision, and dental insurance
• Retirement plans (401k), disability insurance, and employee assistance programs

Work Authorization:This position is open only to individuals who are legally authorized to work in the United States on a permanent basis. At this time, the company is unable to sponsor or take over sponsorship of employment visas (including H-1B, OPT, CPT, or other non-immigrant statuses).Candidates must be U.S. citizens or lawful permanent residents (Green Card holders) to be eligible for this role.
CompensationThe base pay range for this role is $140,000 – $160,000 per year.