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 conceptsCloud & 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.