NewPage - Forward Deployed Engineer in Chennai, भारत

FORWARD DEPLOYED ENGINEERLocation : Chennai Type : https://jobeax.com/link/ScYv2ueRieHOCJKP Newpage Solutions : Newpage Solutions is a global digital health innovation company helping people live longer, healthier https://jobeax.com/link/69yQOt086qqke0My partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health https://jobeax.com/link/WM3PYMXtF3aKylIf strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered https://jobeax.com/link/cUg4UiPqpNQUsRWL are proud to be a Great Place to Work certified company for the last three consecutive https://jobeax.com/link/Ijp249ftQphjyvef also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by https://jobeax.com/link/q7O5o72uimUrQc2d an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's https://jobeax.com/link/nUsfWqnm4Uz4Agye Mission : We are hiring Forward Deployed Engineers who treat AI as the substrate of how software gets built not a tool to be cautious of, not something they are "exploring," but the medium they work https://jobeax.com/link/18z4NsRSvZHTc6Vz will sit close to clients and product leaders, reframe vague problems into something concrete, and ship working software https://jobeax.com/link/gBFg7ByD871s8BAs won't wait for a refined backlog, a PM in the middle, or a separate platform https://jobeax.com/link/IYGXE6lAak1poUcy will shape the idea, build the thing, and stand it up in production https://jobeax.com/link/1byBQd4cxe1XhmeY is a builder-first individual-contributor role for engineers who live at the current edge of AI development and work fluently with Claude Code, Cursor, agents, eval harnesses, MCP, and modern TypeScript and https://jobeax.com/link/22938XyRXZdfFghq You'll Do : 1. Problem / Opportunity Discovery : - Sit with a business or clinical leader and reframe an idea or problem into something concrete and buildable.- Know what to build by the end of the conversation; have a working prototype to react to by the end of the week.- Partner closely with product, design, and client stakeholders to translate ambiguous ideas into software that ships.- Demo live without a slide deck.- Reframe problems out loud.- Don't get stuck waiting for someone else to make the decision.- Lead POCs, innovation sprints, and internal research experiments to validate emerging AI techniques.2. Build (fast) with AI : - When the brief is clear, head down and produce.- Build modular backends in Python or TypeScript aligned with clean architecture, OOP, SOLID, and domain-driven design.- Create fullstack applications, APIs, agents, workflows, and similar systems using frameworks such as https://jobeax.com/link/Z30sZYC3jcRenVso, React, FastAPI, Fastify, FastMCP, and Hono.- Architect and ship production-grade agentic applications using LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration layer.- Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors.- Apply RAG techniques where they actually help : vector databases (Pinecone, Chroma, Weaviate, pgvector), hybrid retrieval with ElasticSearch or Solr, and BM25 + similarity search.- Work across relational, document, key-value, and graph stores as the problem demands; use event-driven patterns where they fit, not by default.- Design prompt and context engineering frameworks that optimize accuracy, repeatability, cost, and latency.- Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex) through structured workflows, native instructions, templates, and sub-agents with discipline and review.- Fine-tune or adapt models where the problem genuinely calls for it.3. Test, Deploy, Productionize : - Spin up the infra, write the evals, wire up the MCP servers, deploy the agents, and harden the bits that survive contact with real users.- Deploy on AWS, Azure, Cloudflare, or Vercel using containerization (Docker, Kubernetes) or serverless chosen for fit, not preference.- Treat evals as a first-class discipline : hands-on harnesses, not theoretical frameworks.- Build with a clear-eyed view of where current AI tooling helps and where it falls short.- Apply engineering practices that hold up in production : TDD, secrets management and rotation, SAST/DAST, structured logging, metrics, tracing, and automated CI/CD (GitHub Actions, Jenkins).- Own what you build end-to-end, including the infrastructure and operations that keep it running.- Mentor others on system design, agentic patterns, and AI engineering best https://jobeax.com/link/UeihKekmHfcz25oy You Bring : - 3+ years relevant experience building production applications using AI / agentic development approaches fullstack applications, agents, workflows, MCPs, and more.- Hands-on experience with agents, not just prompted models.- You have wired tools to a model and let it run multi-step using LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration.- Active, structured use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) with demonstrable workflows, sub-agents, skills, and innovative approaches.- Strong Python or TypeScript, with OOP, SOLID, 12-factor application development, and microservice architecture.- You've built https://jobeax.com/link/Z30sZYC3jcRenVso applications, FastAPI services, and similar.- End-to-end implementation experience with vector databases, retrieval pipelines, and eval harnesses.- Cloud-native deployment experience across at least one of AWS, Azure, Cloudflare, or Vercel with Docker, Kubernetes, and GitHub Actions.- A no-compromise attitude on clean code, TDD, security, observability, scalability, performance, and cost.- A deep working understanding of how LLMs behave and where they break and how to optimize accuracy, latency, and cost.- Clear writing and a willingness to reframe problems in conversation rather than wait for someone else to define them.- A real, recent trail of built things : GitHub, a portfolio, side projects, indie tools, or OSS contributions.- A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges.- Bachelor's or Master's in Computer Science, Machine Learning, or a related technical https://jobeax.com/link/CxHe9wxBXEXdoa2P Skills / Experience : - Public writing, talks, or threads about building with AI.- MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker).- Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue).- Healthcare or life sciences domain exposure.- AWS Professional certification or other relevant industry https://jobeax.com/link/zHiXlJAaJ2PoDEjb 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 https://jobeax.com/link/80s7p7axDXIMd3vJ 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 recognises both contribution and potential. (ref:hirist.tech)