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)

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