Applied AI Engineer, Life Sciences

This is a fully remote position, open to applicants in India.

📋 Description

• Develop production-ready applications utilizing LLMs, retrieval systems, agents, structured data, and multimodal AI.

• Create AI workflows for various pharmaceutical applications, including commercial, medical, and patient scenarios.

• Construct retrieval and knowledge systems leveraging scientific, medical, and enterprise data.

• Establish evaluation frameworks focusing on accuracy, reliability, safety, and domain-specific failure modes.

• Collaborate with pharmaceutical datasets encompassing CRM, claims, sales, HCP, patient, clinical, and scientific information.

• Rapidly prototype solutions, rigorously assess different approaches, and implement successful strategies into production.

• Engage directly with domain experts and clients to convert intricate workflows into effective technical solutions.

⛳️ Requirements

• Minimum of 3 years of experience in AI/ML, applied machine learning, or software engineering.

• Proficient in Python and experienced in developing production-level AI systems.

• Practical experience with LLMs, embeddings, retrieval systems, agentic workflows, or similar applied AI technologies.

• Previous experience collaborating directly with pharmaceutical companies, pharma teams, or life sciences products.

• Strong foundational knowledge in experimentation, evaluation, and troubleshooting of AI systems.

• Exceptional communication skills, capable of engaging both technical and non-technical stakeholders.

• Demonstrated ownership and comfort in addressing ambiguous challenges.

• Experience in pharma commercial, medical affairs, patient services, clinical, or market access is a significant advantage.

• Familiarity with healthcare datasets, scientific literature, or medical knowledge systems is highly beneficial.

• Background in voice AI, speech systems, or regulated AI implementations is a strong plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunity for professional development and continued learning.

• Comprehensive health benefits including medical, dental, and vision coverage.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.