12 часов назад
Sr Staff Platform Engineer / Team Lead (AI)
169 800 - 233 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Staff Platform Engineer / Team Lead (AI): Building and scaling the data and AI platform, including software systems, APIs, pipelines, deployment frameworks, and infrastructure for scientific computing with an accent on platform architecture, AWS, Kubernetes, and AI-enabled workflows. Focus on integrating engineering, data, AI/ML, and scientific computing platforms while leading technical direction for a small engineering team.
Location: Cambridge, MA or West Lafayette, IN, United States
Salary: $169,800–$233,400 per year, plus short-term incentive, long-term equity, and a one-time new-hire stock option grant.
Company
develops predictive design and multiplex gene-editing technologies to create more productive and sustainable agricultural products.
What you will do
- Lead the architecture and development of software systems, platform components, pipelines, and services for the Data & AI Platform.
- Build authentication and authorization patterns, CI/CD pipelines, infrastructure-as-code foundations, and reusable deployment frameworks.
- Enable internal applications, workflows, APIs, shared services, and scalable engineering-platform capabilities.
- Develop infrastructure for AI-enabled systems, including agentic workflows, MCPs, model-adjacent services, and internal AI-platform capabilities.
- Integrate software engineering, data engineering, AI/ML, and scientific-computing platforms across AWS, Kubernetes/EKS, Airflow, Databricks, SageMaker, Quilt/S3, and Python.
- Set technical direction, review designs and code, establish standards, and lead a small team of engineers.
Requirements
- 7+ years of experience in software engineering, platform engineering, systems engineering, data engineering, or a related technical role.
- 2+ years of technical leadership experience or experience leading engineering projects.
- Hands-on experience designing platform or systems architecture in data, AI, or scientific-computing environments.
- Proficiency in Python and practical experience with AWS, Kubernetes, serverless architecture, and container-based infrastructure.
- Experience building APIs, orchestration frameworks, data pipelines, workflow platforms, internal tools, or AI/ML infrastructure.
- Ability to influence technical direction and communicate trade-offs to engineering, product, science, and leadership audiences.
Nice to have
- Experience with MCPs or similar AI-agent integration frameworks.
- Familiarity with Airflow, Databricks, SageMaker, EKS, Quilt, MLflow, or related data and AI tooling.
- Experience building internal developer platforms or shared engineering services for multiple teams.
- Background in life sciences, agriculture, AgTech, biotech, or other scientific data and AI domains.
- Experience supporting production-grade AI, ML, RAG, agentic, or model-serving systems.
Culture & Benefits
- Work on infrastructure supporting scientific research, predictive design, AI, and agriculture.
- Benefits include PPO and HDHP health plans, a company-funded HSA, vision and dental coverage, and flexible spending accounts.
- 401(k) plan with company matching and flexible paid time off.
- Compensation includes base pay, short-term incentive, long-term equity, and a new-hire stock option grant.
- Immigration sponsorship is available for candidates in certain qualified roles meeting performance criteria; H-1B sponsorship requiring the specified $100,000 fee is not provided.
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