Artificial Intelligence Engineer

AI DEVELOPMENT LEAD

Location : Work From Office | Type : Full-time

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’re seeking a highly experienced, technically exceptional AI Development Lead to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers.

Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness.

Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines.

Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance.

Deliver high-performance backend systems using Python (FastAPI, Flask, or similar) aligned with SOLID principles, OOP, and clean architecture.

Own the complete SDLC, including design, implementation, code reviews, testing, CI / CD, observability, and post-deployment monitoring.

Use AI-assisted environments (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate development while maintaining code quality and maintainability.

Collaborate closely with MLOps engineers to containerize, scale, and deploy models using Docker, Kubernetes, and modern CI / CD pipelines.

Integrate APIs from OpenAI, Anthropic, Cohere, Mistral, or open-source LLMs (Llama 3, Mixtral, etc.).

Leverage VectorDB such as FAISS, Pinecone, Weaviate, or Chroma for semantic search, RAG, and context retrieval.

Develop custom tools, libraries, and frameworks that improve development velocity and reliability across AI teams.

Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.

Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.

Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

7–12 years of total experience in software development, with at least 3 years in AI / ML systems engineering or Generative AI.

Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture.

Proven track record developing and deploying GenAI / LLM-based systems in production.

Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks.

Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs.

Advanced understanding of prompt construction, optimization, and evaluation techniques.

End-to-end implementation experience using vector databases and retrieval pipelines.

Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).

Experience with GitHub Actions, Docker,Kubernetes, and cloud-native deployments.

Are obsessed with clean code, system scalability, and performance optimization.

Can balance rapid prototyping with long-term maintainability.

Excel at working independently while collaborating effectively across teams.

Stay ahead of the curve on new AI models, frameworks, and best practices.

Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.

Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline

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.io with any questions.