> Markdown version of [/jobs/ext/4138713-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4138713-senior-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Machine Learning Engineer

- **Company:** Syndesus, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Medical Software, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Search Technologies, Unstructured Data, Scripting, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Model Validation, Llamaindex, Generative AI, Agentic-AI, Evaluation of Large Language Models, GPT
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-austin-tx--b8e8bc1a-ff6e-4062-8e61-a2600ff19514

## About the Role

Machine Learning, Healthcare, Artificial Intelligence (AI), Benchmarking, Open Source, Healthcare Software, Product Engineering, Use Cases, Quality Management, Python Programming/Scripting Language, * 5+ 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, 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.

## Description

Our 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