Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows.
Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG-based applications.
Support integration and access to scientific and operational databases through well-defined APIs and backend services.
Package internal tools, data pipelines, and workflows as reusable AI-enabled components or agents that can be executed within orchestration or workflow frameworks.
Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production-ready solutions.
Create clear technical documentation and usage guides to support internal adoption and long-term maintainability.
Build and evolve scalable LLM inference, agent execution, or orchestration services (e.g., MCP-style patterns) in production environments (Extended Responsibilities).
Participate in experimentation, evaluation, and optimization of AI/ML or LLM-based approaches (Extended Responsibilities).

Requirements

2+ years of professional software engineering experience building backend or data-driven applications
Proficiency in Python and experience developing APIs, services, or microservices
Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
Strong analytical, problem-solving, and debugging skills
Ability to work independently and collaboratively in cross-functional engineering and scientific teams
Exposure to AI/ML, Generative AI, LLMs, or RAG-based systems (Nice to Have)
Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain) (Nice to Have)
Experience with data pipelines or distributed systems (Preferred)

Benefits

A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPIsmicroservicesdata preprocessingstructured data handlingdata qualityAI/MLGenerative AILLMsRAG-based systems

Soft Skills

analytical skillsproblem-solvingdebuggingindependent workcollaboration