Senior Software Engineer, Applied AI

Lila Sciences; Cambridge (MA); On-site; USD 144,000 - 270,000; Full time

Benefits offered by this job

Generous early-stage equity

Medical, dental, and vision coverage

Flexible time off

Paid parental leave

Educational assistance program

Commuter benefits

Job summary

Lila Sciences in Cambridge, MA is seeking a Senior Software Engineer to join the Applied AI group. You will design backend systems and data pipelines for an AI-driven scientific platform. The position requires 7+ years of backend experience and strong Python skills. You will work closely with ML researchers and engineers to scale advanced AI applications. A competitive salary range of $144,000 to $270,000 USD is offered, along with a comprehensive benefits program including medical coverage, flexible time off, and equity opportunities.

Qualifications

• 7+ years of professional experience building and scaling production systems.
• Experience in building APIs, data pipelines, and distributed services.
• Hands-on experience integrating ML models or AI‑driven workflows into production services.

Responsibilities

• Design and deploy backend services and data pipelines to support AI applications.
• Build high-performance APIs and microservices for integration between AI models.
• Architect scalable data pipelines for AI/ML workloads.

Skills

Backend & data expertise

Strong Python skills (FastAPI, Flask, Django)

Databases (SQL, NoSQL, vector databases)

Applied AI systems integration

Cloud & DevOps proficiency (AWS, Docker/Kubernetes)

Communication & problem-solving skills

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

FastAPI

Flask

Django

AWS

Docker

Kubernetes

Job description

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI‑driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data‑driven applications. You’ll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting‑edge applied AI techniques such as Retrieval‑Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI—turning research into production‑grade systems that drive real‑world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You’ll Be Building

• Applied AI integration: design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
• API & Service development: build high‑performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user‑facing applications.
• Data pipeline architecture: architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
• Database & knowledge systems: implement and optimize SQL, NoSQL, and vector databases to support low‑latency AI retrieval and inference workloads.
• Cloud & infrastructure: leverage AWS, Kubernetes, and infrastructure‑as‑code (Terraform/CloudFormation) to build robust, production‑ready AI platforms.
• Performance & reliability: diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault‑tolerance of AI‑driven workflows.
• Collaboration: partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production‑ready systems.

What You’ll Need To Succeed

• Educational background: bachelor’s or master’s in Computer Science, Engineering, or a related field.
• Backend & data expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
• Programming skills: strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
• Databases: proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
• Applied AI systems: hands‑on experience integrating ML models or AI‑driven workflows into production services.
• Cloud & DevOps: proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure‑as‑code.
• Communication & problem‑solving: ability to work cross‑functionally with diverse teams and explain complex technical concepts to non‑experts.

Bonus Points For

• Scientific & data‑intensive domains: experience working with life sciences, materials sciences, or other research‑heavy fields.
• Startup experience: comfort with fast‑paced, iterative environments where impact and adaptability matter.

Compensation

We offer competitive base compensation with bonus potential and generous early‑stage equity. Your final offer will reflect your background, expertise, and expected impact. Expected base salary range: $144,000 USD - $270,000 USD.

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.

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.

About LILA

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.