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About the Role

We're building the platform that makes it possible for scientists to go from hypothesis to result without context-switching between a dozen tools. We need engineering leaders to build the team that solves problems no one has solved before. You'll lead engineers designing agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.

Responsibilities

• Build, mentor, and manage a high-performing team of 8-10 engineers spanning full-stack, agent, and platform expertise.
• Foster a culture of collaboration, ownership, and continuous improvement.
• Conduct performance reviews, provide feedback, and identify opportunities for growth.
• Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.
• Define and execute the technical roadmap for LILA's application layer aligning with LILA's broader AI and product strategy.
• Drive innovation in how scientists interact with AI-driven systems.
• Own end-to-end delivery of the application platform — chat, agents, artifacts, and the integrations connecting them to lab workflows and ML pipelines — ensuring reliability, performance, and security.
• Partner with ML researchers, scientists, product managers, and other engineering leaders to understand scientific workflows and translate them into product capabilities.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Manage expectations and ensure alignment across teams.
• Represent LILA's applied-AI work externally through conferences, presentations, and writing.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 12+ years of engineering experience building and deploying large-scale production systems.
• 5+ years leading senior engineers.
• Track record of building and growing high-performing engineering teams in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.
• Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes).
• Hands-on experience — personally and on the teams you've led — using AI coding assistants and agentic tooling to drive productivity.
• Proven ability to define technical strategy, drive it to execution, and balance trade-offs between scalability, performance, delivery speed, and maintainability.
• Acute listening skills and a proven track record of partnering cross-functionally with scientists, ML engineers, product, and design.
• Able to explain complex ideas to diverse audiences.

Skills

• Applied AI
• Agents
• MCP
• Context engineering
• React
• TypeScript
• Python
• FastAPI
• SQL/NoSQL
• AWS
• Kubernetes
• AI coding assistants
• Agentic tooling
• Scalability
• Performance
• Delivery speed
• Maintainability
• AI agents
• Graph-based workflows
• Tool-use protocols (MCP)
• RAG pipelines
• LLM orchestration frameworks
• Chat experiences
• Agent experiences
• Copilot experiences
• Cloud
• DevOps
• Infrastructure-as-code (Terraform, CloudFormation)
• CI/CD (GitHub Actions)
• Scientific domain exposure
• Laboratory software
• Analytics for life sciences or material sciences
• Scientific computing domains

Location

• U.S.

Work Type

• Full-time

Experience Level

• Associate Director
• 12+ years of engineering experience
• 5+ years leading senior engineers

Education Level

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

Salary/Compensations

• $204,000—$306,000 USD

Benefits

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits, including bike share memberships for office based employees
• Company subsidized lunch program
• Comprehensive benefits program tailored to their region (International)

About the Company

• Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
• We believe science is the most inspiring frontier for AI.
• Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
• LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
• Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Equal Opportunity

• Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.