Senior Machine Learning Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years

• 3 AWS AI/ML Partner of the Year awards

• 3 NVIDIA Partner of the Year awards

• 3 Snowflake Partner of the Year awards

• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

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.

For more details, visit: Website or LinkedIn Page

Location: Mid-Town NYC, USA
Work Model: In-person 3 days/week

Experience Level: 5+ Years

You will join a focused pod building two tightly-coupled capabilities for Humana's internal users:

1. Internal Agentic Search Engine

• Build agentic pipelines that plan, retrieve, and reason across numerous internal and enterprise data sources (structured and unstructured).

• Design robust retrieval, grounding, and orchestration layers so agents return accurate, cited, and trustworthy answers.

• Implement tool-use, multi-step reasoning, and evaluation loops that keep quality high as sources and scope grow.

2. Perplexity-Style Front End

• Deliver a fast, intuitive, conversational search experience for Humana employees — answer-first, with sources, follow-ups, and streaming responses.

• Partner across the stack to connect the agentic backend to a responsive, production-grade UI.

• Instrument usage, feedback, and quality signals to continuously improve relevance and user trust.

• 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.

• 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).

• 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)

The right person for this team is a builder at heart — someone who is energized by shipping working software, thrives in ambiguity, and raises the quality bar for everyone around them.

• Extremely hands-on: happiest in the codebase, shipping real features.

• Bridges agentic AI and solid software engineering — not just prototypes, but production systems.

• Pragmatic and fast — comfortable with a high-tempo, fast-moving engagement.

• Strong communicator who collaborates well in person with a tight-knit pod and client stakeholders.

• Curious about the frontier — keeps up with new models, frameworks, and techniques.