<p><strong>Your Impact at LILA</strong></p>
<p>Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineering leaders who want to build
the team that solves problems no one has solved before.</p>
<p>We're hiring an Associate Director of Engineering, Application Team to lead the engineers designing the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.</p>
<p><strong>
About
The Team</strong></p>
<p>The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.</p>
<ul>
<li><strong>AI isn't a feature here — it's the architecture.</strong> Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.</li>
<li><strong>The problems are genuinely hard.</strong> Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.</li>
<li><strong>You'll lead engineers who learn domains they never expected.</strong> Working shoulder-to-shoulder with lab scientists and ML engineers means your team's technical surface area grows fast.</li>
<li><strong>Your team ships things that matter.</strong> The tools they build accelerate research timelines from months to days.</li>
</ul>
<p>If you want to lead at the intersection of AI and science, move fast, and grow the kind of team that can architect systems that don't exist yet — we want to talk.</p>
<p><strong>What You'll Be Building</strong></p>
<ul>
<li><strong>Team Leadership:</strong> 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.</li>
<li><strong>Technical Strategy &amp; Execution:</strong> 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.</li>
<li><strong>Product Delivery:</strong> 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 across everything
the team ships.</li>
<li><strong>Cross-Functional Collaboration:</strong> 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.</li>
<li><strong>Engineering Thought Leadership:</strong> Represent LILA's applied-AI work externally through conferences, presentations, and writing — helping attract top talent and establishing LILA's leadership at the intersection of AI and science.</li>
</ul>
<p><strong>What You'll Need To Succeed</strong></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li>
<li>12+ years of engineering experience building and deploying large-scale production systems, with 5+ years leading senior engineers.</li>
<li>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.</li>
<li>Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes).</li>
<li>Hands-on experience — personally and on the teams you've led — using AI coding assistants and agentic tooling to drive productivity.</li>
<li>Proven ability to define technical strategy, drive it to execution, and balance trade-offs between scalability, performance, delivery speed, and maintainability.</li>
<li>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.</li>
</ul>
<p><strong>
Bonus Points For</strong></p>
<ul>
<li><strong>Applied AI Engineering leadership:</strong> Experience shipping products built on AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.</li>
<li><strong>AI-native product intuition:</strong> A point of view on what "good" looks like for chat, agent, and copilot experiences — and how to evolve it as the underlying models improve.</li>
<li><strong>Cloud &amp; DevOps depth:</strong> Familiarity with AWS, Kubernetes, infrastructure-as-code (Terraform, CloudFormation), and CI/CD (GitHub Actions).</li>
<li><strong>Thought leadership</strong> in the applied-AI community via conference talks, blog posts, or open source.</li>
<li><strong>Scientific domain exposure:</strong> Experience with laboratory software, analytics for life sciences or material sciences, or adjacent scientific computing domains.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>
Compensation</strong></p>
<p>We offer competitive base
compensation with
bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.</p>
<p><strong>U.S.
Benefits.</strong> Full-time U.S. employees receive a comprehensive
benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter
benefits, including bike share memberships for office based employees; and a company subsidized lunch program.</p>
<p><strong>International
Benefits.</strong> Full-time employees outside the U.S. receive a comprehensive
benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.</p></div><div class="title">Expected Base Salary Range</div><div class="pay-range"><span>$204,000</span><span class="divider">&mdash;</span><span>$306,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About LILA</strong></p>
<p>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.</p>
<p>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. Learn more at www.lila.ai.</p>
<p>Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.</p>
<p><strong>We’re All In</strong></p>
<p>Lila Sciences is&nbsp;committed to equal employment opportunity&nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.</p>
<p>Information you provide during your application process will be handled in accordance with our <a href="https://www.lila.ai/candidate-privacy-policy-notice">Candidate Privacy Policy</a>.</p>
<p><strong>A Note to Agencies</strong></p>
<p><em>Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.</em></p></div>
About Lila Sciences
Lila Sciences is a platform that uses artificial intelligence to support research in life sciences, chemical sciences, and materials sciences. It develops AI-driven tools and autonomous labs to improve research efficiency and facilitate scientific discoveries. The platform is designed to enhance various aspects of the scientific method and contribute to advancements in technology and innovation.
