Associate AI Engineer

Job Description Summary We are a cutting-edge Generative AI Center of Excellence (CoE) driving an innovation in life sciences through intelligent solutions. Our engineering team builds scalable platforms and accelerators that power AI-driven capabilities and products.

Join us to shape the future of AI in healthcare and experience how impactful engineering drives real-world change. Job Description Responsibilities may include: Collaborating with AI engineers and product teams to build and integrate GenAI applications Developing APIs, microservices, and data pipelines for AI workloads Optimizing performance, scalability, and security of AI-driven systems Contributing to platform engineering using tools like Docker, Kubernetes, CI/CD, and cloud (Azure/AWS) Supporting integration with LLMs, vector databases, and prompt engineering workflows Participating in sprint planning, code reviews, and demo sessions Preferred Skills and Technologies: Strong programming in Python or JavaScript/TypeScript Understanding of REST APIs, Microservices, and basic DevOps concepts Familiarity with Generative AI, LLMs (e.g., GPT, LLaMA), or LangChain / RAG Exposure to cloud platforms (Azure, AWS, GCP) or tools like Docker and GitHub Actions Comfort with basic ML/NLP concepts is a bonus Minimum Requirements: Final-year or pre-final year student in Computer Science / IT / ECE / Data Science / AI/ML Strong logical thinking, problem-solving, and curiosity for GenAI technologies Ability to learn quickly and work in an agile, team-oriented environment Passion for applying technology to real-world use cases in healthcare and pharma Skills Desired Budget Management, Business Acumen, Digital capabilities, Effective use of technology (Inactive), Operational Excellence Projects (Inactive), Planning, Project Management, Risk Management, Service Delivery Management, Stakeholder Management