Syndesus, Inc. · 5 months ago
ML/LLM Engineer - Applied AI
Austin
Full-time
Onsite
Mid, Senior Level
3+ years expSyndesus, Inc. is revolutionizing healthcare by streamlining knowledge workflows with AI, empowering professionals to focus on improving lives. They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that power decisions in healthcare and biopharma, focusing on applied ML problems and delivering measurable impact.
Employment
Responsibilities
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
Qualification
Required
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
Benefits
100% employer-paid health, vision, and dental insurance
Retirement plans (401k)
Disability insurance
Employee assistance programs
Company
Syndesus, Inc.
Syndesus builds engineering teams in Canada for VC-backed startups in the US, and offers Professional Employer Organization (PEO) services for US companies seeking to employ workers remotely in Canada.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Lizzie Anumitha
COO
Marc Pavlopoulos
Founder
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