AI/ML Engineer

Job Posted 22 Days Ago Posted 22 Days Ago
Seattle, WA
Hybrid
140K-190K
Mid level
Artificial Intelligence • Information Technology • Software
Co-Innovation for Frontier Life Sciences
The Role
The AI/ML Engineer will design and deploy LLM-based solutions, create retrieval pipelines, and evaluate model performance while collaborating with engineers and experts.
Summary Generated by Built In

About Sobek AI

Sobek works with networks of research institutes, manufacturers, and pharmaceuticals leaders on frontier life science problems—where collaboration across organizational and IP boundaries is critical to innovation. Our agentic AI solution captures emerging best practices and learnings across these networks and delivers them to users for workflow evaluation, monitoring and continuous improvement. We are currently delivering on multi-million dollar contracts for R&D in mRNA and RNA vaccines, and for public health and emergency coordination, with plans to expand into broader life sciences and drug development.

About the Role

We're seeking an ML/AI Engineer to help us deliver a high quality and performant GenAI agentic solution. This role will be central to designing, implementing and deploying LLM-based reasoning, retrieval-augmented generation, graph representations, and multi-agent orchestration. You'll work closely with founders, engineers and domain experts.

Responsibilities

  • Design and scale retrieval pipelines and agent-based architectures that go beyond standard RAG, including graph knowledge integration and multi-hop reasoning
  • Develop and maintain core infrastructure for prompt orchestration, embedding workflows, and vector search, optimized for performance and fine-grained control
  • Implement robust evaluation harnesses to monitor model accuracy, responsiveness, and consistency across real-world user tasks
  • Fine-tune and adapt LLMs to domain-specific tasks with complex knowledge synthesis
  • Collaborate with backend engineers to integrate GenAI components into production environments with secure interfaces

Requirements

  • 3+ years experience shipping ML systems to production in startup or enterprise settings
  • Strong command of GenAI architectures, including LLMs, RAG pipelines, graph and vector databases, and multi-agent systems
  • Proficient in Python, with experience using PyTorch or TensorFlow in production
  • Familiarity with frameworks like LangChain, Hugging Face Transformer and MLflow
  • Experience deploying ML workloads on cloud infrastructure (AWS or Azure)
  • Ability to balance model performance, latency and observability
  • Comfort working in fast-moving, ambiguity-rich settings where iteration is key

Why Join Sobek AI?

  • Help build the technical backbone of a GenAI platform solving complex challenges
  • Collaborate closely with founders and customers to deliver high-impact capabilities
  • Join an interdisciplinary team combining AI, life sciences and enterprise software
  • High ownership and autonomy, rapid iteration, and career growth
  • Competitive salary and equity

Details

  • Compensation: $140K–$190K + equity
  • Location: Hybrid (Seattle, WA)
  • Visa: We do not sponsor visas for this role at this time
  • Benefits: Company-paid health coverage (including dependents)

Top Skills

AWS
Azure
Hugging Face Transformer
Langchain
Mlflow
Python
PyTorch
TensorFlow
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The Company
8 Employees
Hybrid Workplace
Year Founded: 2023

What We Do

Sobek works with networks of research institutes, manufacturers, and pharmaceuticals leaders on frontier life science problems—where collaboration across organizational and IP boundaries is critical to innovation. Our agentic AI solution captures emerging best practices and learnings across these networks and delivers them to users for workflow evaluation, monitoring and continuous improvement. We are currently delivering on multi-million dollar contracts for R&D in mRNA and RNA vaccines, and for public health and emergency coordination, with plans to expand into broader life sciences and drug development.

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