Senior / Staff Software Engineer

Axella • Boston, MA

8d

About The Position

Biomanufacturing is one of the most complex and failure-prone systems in the world. Every year, billions of dollars and critical therapies are delayed or lost — not because the science fails, but because process understanding and manufacturing execution break down somewhere along the way. It’s a systems problem more than a software or biology problem, and we’re building the AI platform to solve it. Axella Biosciences is a stealth mode company developing an AI-driven CMC and biomanufacturing execution platform that designs manufacturing processes in silico, reduces deviations and failures during development and GMP production, and helps diagnose and resolve issues in real time. We’re already in production with early customers, and now we’re scaling into regulated environments (GxP, 21 CFR Part 11), across more of the biomanufacturing lifecycle, and toward autonomous, agent-driven execution. We’re backed by top VCs such as General Catalyst, Sequoia, and Hitachi Ventures, among others. The role We’re hiring a foundational technical leader to own engineering execution end-to-end — architecture, AI systems design, infrastructure, and the engineering standards and culture we build from here. You’ll work closely with domain experts across biomanufacturing and AI.

Requirements

• 7+ years of software engineering experience with a proven track record of delivering production systems end-to-end in startup environments — including problem scoping, requirements gathering, product planning, architecture, modern web backend and frontend development, infrastructure, and maintenance.
• Comfortable identifying which problems are worth solving, not just executing on well-defined ones.
• Ability to drive technical direction independently in ambiguous environments.
• Strong production experience owning LLM-powered systems (RAG, agents, tool use) — including the reliability, evaluation, and iteration strategy that keeps them working as they scale.
• Comfortable operating production systems in cloud environments.

Nice To Haves

• Experience with infrastructure as code tools such as Terraform.
• Experience with AWS, Typescript, React, Node.js and GitHub Actions.
• Experience with agent frameworks or MCP-style architectures.
• Experience building evaluation systems for LLM reliability.
• Experience with document parsing and structured extraction pipelines.
• Work in regulated or high-reliability environments.
• Any exposure to biotech, pharma, or complex industrial systems.

Responsibilities

• Build and deploy agentic systems based on frontier models (Claude, Open AI) for real manufacturing workflows.
• Design tool-augmented agents using MCP and structured data access.
• Improve RAG systems (retrieval quality, grounding, citations, reasoning).
• Develop evaluation frameworks — gold sets, regression testing, live metrics.
• Full-stack development across React, Node.js, and MongoDB.
• Build document intelligence pipelines for batch records, PDFs, Excel files, and images, and turn unstructured manufacturing data into structured, usable knowledge.
• Evolve our AWS architecture from early-stage to production-grade.
• Implement observability, reliability, and CI/CD.
• Design systems that hold up in regulated environments (GxP, Part 11, SOC 2).
• Get systems into real manufacturing environments.
• Integrate with LIMS, ERP, and QMS.
• Work directly with customers and partners to validate how these systems perform in the wild.

Benefits

• Competitive salary plus meaningful early-stage equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed