Applied AI Engineer, Life Sciences
Summary
Synthio Labs is hiring an Applied AI Engineer in Bengaluru to build production-grade LLM, retrieval, agent, and multimodal AI systems for pharmaceutical commercial, medical, and patient workflows. Requires strong Python, 3+ years in AI/ML or software engineering, and prior pharma/life sciences experience.
About the Role
What You’ll Do
- Build production-grade applications using LLMs, retrieval, agents, structured data, and multimodal AI.
- Design AI workflows across pharmaceutical commercial, medical, and patient use cases.
- Build retrieval and knowledge systems over scientific, medical, and enterprise data.
- Develop evaluation frameworks for accuracy, reliability, safety, and domain-specific failure modes.
- Work with pharma datasets including CRM, claims, sales, HCP, patient, clinical, and scientific data.
- Prototype quickly, evaluate approaches rigorously, and productionize what works.
- Work directly with domain experts and customers to translate complex workflows into technical solutions
What We’re Looking For
- 3+ years of experience in AI/ML, applied machine learning, or software engineering.
- Strong Python skills and experience building production AI systems.
- Hands-on experience with LLMs, embeddings, retrieval, agentic workflows, or related applied AI systems.
- Prior experience working directly with pharmaceutical companies, pharma teams, or life sciences products.
- Strong fundamentals in experimentation, evaluation, and debugging AI systems.
- Excellent communication with technical and non-technical stakeholders.
- High ownership and comfort solving ambiguous problems.
Why This Role Matters
Strong Plus
- Pharma commercial, medical affairs, patient services, clinical, or market access experience.
- Experience with healthcare datasets, scientific literature, or medical knowledge systems.
- Experience with voice AI, speech systems, or regulated AI deployments