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AI Referrals

Roles & Responsibilities

  • 2+ years hands-on AI experience with agentic frameworks (e.g., LangGraph), autonomous planning, memory/context design, RAI, and production-grade AI software delivery
  • Strong experience in document processing and structured text data science
  • Proficient in Python with advanced tool orchestration skills
  • Working knowledge of Azure or AWS, with familiarity in AI security, LLM observability, and MLOps practices

Requirements:

  • Develop and deploy agentic AI solutions and RAG pipelines to production
  • Lead document processing and structured text data science initiatives, incorporating memory/context design and autonomous planning as applicable
  • Deploy and operate AI workloads on Azure or AWS, applying MLOps, AI security, and LLM observability practices
  • Collaborate with stakeholders across regulated life sciences environments to ensure compliant and safe AI delivery

Job description

We are building a talent pool of AI or cloud infrastructure professionals ready for a new challenge.
If you're passionate about innovation and eager to make an impact, we want to hear from you!

AI / Software Engineers & Tech Leads We are looking for individuals with at least 2 years of hands-on AI experience and  knowledge of agentic frameworks (e.g., LangGraph), autonomous planning, memory/context design, RAI, and production-grade AI software delivery.
Furthermore, you should have the following competencies:

  • Strong experience in document processing and structured text data science.
  • Experience in regulated life sciences environments is a plus.
  • Proficient in Python with advanced tool orchestration skills.
  • Proven track record building agentic solutions and RAG pipelines.
  • Experience with vector databases and embedding strategies.
  • Working knowledge of at least one major cloud platform (Azure or AWS).
  • Familiarity with AI security, LLM observability, and MLOps practices.
  • Solution-oriented mindset to identify AI pitfalls and implement mitigation strategies.
  • NLP.



Cloud Engineers
We are also seeking for Cloud Engineers—one focused on Azure, and one with dual expertise in Azure and AWS. Idea candidates will have:

  • 4+ years of DevOps and cloud infrastructure experience (Azure, AWS), with strong CI/CD and IaC skills (Azure DevOps, GitHub Actions, Terraform).
  • Proven ability to adapt to custom environments, manage multiple stakeholders, and deliver in agile setups—backed by strong communication and scripting skills.
  • Bonus capabilities include DevSecOps, Azure OpenAI, Veeva integration, and domain experience in pharma/life sciences.

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