Job Description

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.

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