Location: Remote | Type: Contract
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 CIO Review.
As a remote‑first company, 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 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 in.
You will sit close to clients and product leaders, reframe vague problems into something concrete, and ship working software end‑to‑end. You won't wait for a refined backlog, a PM in the middle, or a separate platform team. You will shape the idea, build the thing, and stand it up in production yourself.
This 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 Python.
What You’ll Do
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.
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 Next.js, 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