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 Excellent 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

📌 Lead Ai Engineer (India)
🏢 NewPage Solution
📍 India