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Lila Sciences

Lila Sciences - Senior Software Engineer, App

Cambridge, MA USA; San Francisco, CA USA$144k - $240k+ Equity5d ago
In OfficeSeniorNALife SciencesCloud ComputingSenior Software EngineerFull StackReactTailwindTypeScriptNoSQLFastAPISQLPythonAWSKubernetesTerraformGitHub ActionsCloudFormationDjangoAirflowPrefectDagsterTemporalPandasNumPyPyTorchSciPy

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Bachelor’s or Master’s degree • 5-8+ years of engineering experience building and deploying large-scale systems in production. You must be strong in backend. • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) • Full Stack Development • Hands on experience using AI coding assistants to drive productivity is required. • Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. • Communication & Collaboration • Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. • Problem Solving • Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks. • Applied AI Engineering: • Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). • Cloud & DevOps Knowledge: • Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django). • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). • Orchestration Systems: • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). • Familiarity with Python for Science • Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields. • Domain Background: • Experience with laboratory devices, robotics, or hardware drivers.

Benefits

• We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. • U.S. Benefits. 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. • International Benefits. 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. • $144,000 - $240,000 USD • 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. Learn more at www.lila.ai. • 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. • We’re All In • 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. • Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. • A Note to Agencies • A Note to Agencies • 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.

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