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Lila Sciences

Sr Principal/Principal Software Engineer, App

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA

Posted about 3 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Lila Sciences's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
116 stale, 2 reposted of 118 open
Hiring momentum
155 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.

About this role

As a Principal Software Engineer at LILA, you will design and build user interfaces and APIs that integrate with AI-driven applications, develop database architectures, and drive application development. You will collaborate closely with scientists and ML engineers to create tools that enhance research efficiency, while also diagnosing and optimizing system performance. This role emphasizes building large-scale systems and leveraging cloud infrastructure to support scientific workflows.

Our read on this posting3.0out of 5
benefits
4/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.

What you need

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 8-15 years of engineering experience building and deploying large-scale systems in production
  • Strong proficiency in either front-end or backend development
  • Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Hands-on experience using AI coding assistants to drive productivity
  • Acute listening skills and proven track record of working cross-functionally with scientists, data engineers, and product teams

Nice to have

  • Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks
  • Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)
  • Experience with ORMs and web services for CRUD services (SQLModel, FastAPI, Django)
  • Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster)
  • Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch)

What you get

  • Competitive base compensation with bonus potential and generous early-stage equity
  • 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
  • Educational assistance program

Worth weighing

  • No specific mention of work-life balance or remote work options
  • The role requires a strong focus on both front-end and back-end development, which may not suit all candidates
  • The expected salary range is quite broad, which may indicate variability based on negotiation or experience
  • The emphasis on AI and scientific integration suggests a fast-paced and potentially high-pressure environment

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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