Sr AI / ML Engineer(GenAI Focus)

Agent AI developer

Location : Work From Office(Hybrid) | Type : Fulltime

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be

Great Place to Work® certified

for three consecutive years, hold a top

Glassdoor rating , and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize.

Your Mission

We are looking for a highly experienced and technically astute AI / ML Developer to spearhead the design and development of cutting-edge Generative AI and agent-based systems. This role demands deep expertise in Python development, a strong command of SOLID principles, and a proven ability to architect and scale production-grade AI systems.

As a individual contributor, you will take full ownership of key initiatives—from ideation to deployment—working hands-on with LLMs, vector databases, orchestration frameworks, and modern MLOps practices. You will collaborate with cross-functional teams while driving technical excellence, fast execution, and innovation at scale

This is a high-impact, leadership-track role for someone who thrives on autonomy, excels under pressure, and consistently delivers high-quality, maintainable solutions in a rapidly evolving AI landscape

What You’ll Do

Design, architect, and implement state-of-the-art Generative AI applications and agentic systems using modern AI frameworks such as LangChain, LlamaIndex, or custom orchestration layers.

Seamlessly integrate large language models (e.g., GPT-4, Claude, Mistral) into production workflows, tools, or customer-facing applications.

Build scalable, reliable, and high-performance backend systems using Python and modern frameworks to power GenAI-driven features.

Take ownership of prompt engineering, tool usage, and long / short-term memory management to develop intelligent and context-aware agents.

Deliver high-quality results rapidly by leveraging Cursor and other AI-assisted "vibe coding" environments for fast development, iteration, and debugging.

Use vibe coding tools effectively to accelerate delivery, reduce development friction, and fix bugs quickly with minimal overhead.

Participate in and lead the entire SDLC, from requirements analysis and architectural design to development, testing, deployment, and maintenance.

Write clean, modular, well-tested, and maintainable code, following best practices including SOLID principles and proper documentation standards.

Proactively identify and resolve system-level issues, performance bottlenecks, and edge cases through deep debugging and optimization.

Collaborate closely with cross-functional teams—including product, design, QA, and ML—to iterate quickly and deliver production-ready features.

Execute end-to-end implementations and POCs of agentic AI frameworks to validate new ideas, de-risk features, and guide strategic product development.

Contribute to internal tools, libraries, or workflows that enhance development speed, reliability, and team productivity.

What You Bring

Extensive Python Expertise :

Hands-on experience in Python development, with a focus on clean, maintainable, and scalable code.

Software Design Principles :

Mastery of OOP, SOLID principles, and design patterns; proven experience designing and leading complex software architectures.

GenAI Frameworks :

Practical experience with frameworks like LangChain, LlamaIndex, or other agent orchestration libraries.

LLM Integration :

Direct experience integrating APIs from OpenAI, Anthropic, Cohere, or similar providers.

Prompt Engineering :

Strong understanding of prompt design, refinement, and optimization for LLM-based applications.

RAG Systems :

Experience architecting and implementing Retrieval Augmented Generation (RAG) pipelines and solutions.

Vector Databases :

Exposure to FAISS, Pinecone, Weaviate, or similar tools for semantic retrieval.

NLP / ML Knowledge :

Solid foundation in Natural Language Processing and core machine learning concepts

Cloud & Deployment :

Familiarity with cloud platforms like AWS, GCP, or Azure, including deployment of GenAI solutions at scale.

Containerization & Orchestration :

Proficient with Docker, with working knowledge of Kubernetes.

MLOps / LLMOps Tools :

Experience with platforms such as MLflow, Weights & Biases, or equivalent tools.

Semantic Search / Knowledge Graphs :

Exposure to knowledge graphs, ontologies, and semantic search technologies.

Development Lifecycle :

Strong grasp of SDLC processes, Git-based version control, CI / CD pipelines, and Agile methodologies.

What We Offer

At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer :

A people-first culture – Supportive peers, open communication, and a strong sense of belonging. § Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.

Balance that lasts – We respect your time and support a healthy integration of work and life.

Room to grow – Opportunities for learning, leadership, and career development, shaped around you.

Meaningful rewards – Competitive compensation that recognizes both contribution and potential.

Ready to Apply?

Let’s build the future of health together. Apply below or reach out to Shilpa.shetty@newpage.com with any questions.