LEAD AI ENGINEER

Seeking a senior Lead AI Engineer to design and deliver generative and agentic AI systems end to end, from models to scalable backends, setting quality standards and owning execution.
Benefits

Flexible and remote work

Employee-centric culture

Supportive peers

Work-life balance

Generous earnings

Opportunities for growth

LEAD AI ENGINEER

Location: Bangalore, Hybrid | 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.

Your Mission

We’re seeking a highly experienced, technically exceptional Lead AI Engineer 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
Develop AI Applications & Agentic Systems

Architect, build, and optimize production-grade Generative AI applications using
Orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations
Agentic AI frameworks (Agno, AutoGen, CrewAI etc.) Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques.
Microservices and modular backends using Python or Javascript or Java aligned with domain driven design, SOLID principles, OOP, and clean architecture
Databases including relational (PostgreSQL, MySQL), document (MongoDB, DocumentDB), Key-Value (Redis / DynamoDB), Graph (neo4j, Neptune, Janus Graph)
Event driven systems using Kafka / MSK, SQS, etc.
Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerization and orchestration with Docker / Kubernetes or serverless architecture
Multi-modal workflows using text, image, voice and video
Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerization & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: Github Actions, Jenkins)
Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, latency.
Fine-tune and train models for industry or domain specific use cases

AI Assisted Development, Context Engineering & Innovation

Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development)
Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams.
Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise)
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.
Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems
A no-compromise attitude with engineering best practices such as clean code, TDD, containerization, security, CI/CD, scalability, performance and cost optimization
Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents
A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost
Python or Javascript experience with strong grasp of OOP, SOLID principles, 12-factor application development and scalable microservice architecture.
Proven track record developing and deploying GenAI/LLM-based systems in production.
Advanced understanding of context engineering, prompt construction, optimization, and evaluation techniques.
End-to-end implementation experience using vector databases and retrieval pipelines.
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

Bonus Skills / Experience

Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker)
Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam)
Mobile and front-end web application development experience

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.

More about Newpage

Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.

Newpage is recognized by ‘CIO’s Review’ as “Top 50 Promising Healthcare Solution Providers” and Great Place to Work Certified (GPTW) 2023 & 2024.