Senior Software Engineer - Life Sciences Commercial Infrastructure

meet life sciences • United State
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AI Summary

Join a fast-growing healthtech company redefining life sciences commercialization. Embed with pharma customers, deploy AI-powered systems, and scale commercial infrastructure. Strong engineering background required.

Key Highlights
Embed with pharma customers
Deploy AI-powered systems
Scale commercial infrastructure
Key Responsibilities
Embed with major pharma and agency partners
Lead enterprise integrations
Design and customize AI-powered compliance workflows
Deploy and optimize LLM and RAG based agents
Extend backend services and manage infrastructure
Build scalable data pipelines
Translate frontline customer feedback into product improvements
Technical Skills Required
Python FastAPI Docker AWS LLM RAG Redis Celery
Benefits & Perks
Medical insurance
Relocation support
Visa sponsorship

Job Description


My client is a fast growing, venture backed healthtech company redefining how life sciences organizations commercialize their products. They are building the commercial engine that allows pharmaceutical marketers to take control of their content supply chain, automating compliant, reference backed marketing at scale and replacing slow, manual workflows with AI powered systems deployed directly into production environments.


I am supporting them on a founding hire that will sit at the intersection of engineering, product and customer success, embedding directly with pharma customers and helping scale the next generation of commercial infrastructure.

Expectations of the Role:

  • Embed with major pharma and agency partners to deploy the platform into real world marketing workflows
  • Lead enterprise integrations across tools such as Veeva Promomats, Adobe, Figma and internal DAM systems
  • Design and customize AI powered compliance workflows to meet brand specific regulatory requirements
  • Deploy and optimize LLM and RAG based agents in production environments
  • Extend backend services and manage infrastructure across FastAPI, Celery, Redis and AWS
  • Build scalable data pipelines across PDFs, OCR, embeddings and metadata enrichment
  • Translate frontline customer feedback into product improvements and repeatable platform features
  • Work directly with the co founders on product strategy, technical direction and customer expansion

Requirements:

  • Strong engineering background with experience deploying enterprise grade systems
  • High proficiency in Python, FastAPI, Docker and AWS
  • Experience building or experimenting with LLM driven systems, RAG pipelines or agent based workflows
  • Customer oriented builder who cares about production impact, not just shipping code
  • Comfortable operating in ambiguity with high ownership and intensity
  • Strong communicator who can work with both technical and non technical stakeholders
  • Motivated by fast iteration, high standards and startup pace

What the company offers:

  • Backed by top tier investors with $25M+ raised and recent Series A close
  • Rapid growth with deployments across leading life sciences organizations
  • Opportunity to define the forward deployed engineering function from the ground up
  • Direct exposure to founders and influence over product roadmap
  • Medical insurance, relocation support and visa sponsorship options

If you are an engineer who wants to build at the edge of applied AI, work directly with customers and help define the infrastructure powering compliant pharma marketing, message me. I can share more detail and connect you directly with the founding team.


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