Senior Machine Learning Engineer
About The Position
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms. Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
Requirements
- Strong, current software engineering fundamentals — clean, tested, production-quality code (Python strongly preferred).
- Demonstrated, hands-on experience building agentic AI systems (agents, tool-use, planning, multi-step reasoning, RAG/retrieval).
- Deep expertise with the Google Cloud technology stack — e.g., Vertex AI, GKE, BigQuery, Cloud Run, Cloud Storage, IAM.
- Experience integrating LLM applications with numerous, heterogeneous data sources (APIs, databases, document stores, search).
- Experience taking ML/GenAI systems to production — deployment, scaling, monitoring, and reliability.
- Ability to work on-site in NYC Mid-Town 3 days per week (Tuesday–Thursday).
Nice To Haves
- Breadth of knowledge across frontier models (e.g., Gemini, and other leading LLM families) and when to use which.
- Hands-on experience with open-source agentic and LLM frameworks (e.g., LangChain, LangGraph, LlamaIndex, or similar).
- Front-end / full-stack exposure to help deliver a Perplexity-style user experience.
- Experience with evaluation frameworks, guardrails, and responsible-AI practices.
- Prior experience in regulated or enterprise environments (healthcare a plus)
Responsibilities
- Build hands-on, end to end. Design, code, test, and ship agentic AI features into production — you write code every day, not just architecture diagrams.
- Engineer agentic systems. Develop planning, retrieval, tool-use, and orchestration components for the internal agentic search engine.
- Integrate many data sources. Connect agents reliably and securely to numerous internal and enterprise data sources.
- Deliver on Google Cloud. Build, deploy, and operate solutions natively on GCP (Vertex AI, GKE, BigQuery, Cloud Run, and related services).
- Ship the user experience. Contribute to the Perplexity-style front end so end users get fast, grounded, well-cited answers.
- Own quality and evaluation. Establish evals, guardrails, observability, and feedback loops to keep answers accurate and safe.
- Collaborate on-site. Work in person at the NYC Mid-Town office Tuesday through Thursday, pairing closely with the pod and Humana stakeholders.
- Move fast. Operate with urgency in a fast-moving engagement — iterate quickly, unblock yourself, and drive outcomes.
Benefits
- Great Place to Work certification
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
