Senior Machine Learning Engineer

Quantiphi

New York (NY)

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Quantiphi is seeking a Senior Machine Learning Engineer in New York City to build agentic AI pipelines and aPerplexity-style front end for enterprise users. The role requires hands-on coding, production experience with GenAI, and deep GCP expertise.

You will collaborate with Humana stakeholders, operate in a fast-moving environment, and contribute to a secure, scalable data ecosystem. Join a culture focused on transparency, growth, and delivering measurable business impact across Fortune 1000

Qualifications

  • Strong software engineering fundamentals (production‑quality code).
  • Hands-on experience building agentic AI systems (agents, tool-use, planning).
  • Deep expertise with Google Cloud tech stack (Vertex AI, GKE, BigQuery, Cloud Run).
  • Experience integrating LLM apps with diverse data sources (APIs, databases).
  • Experience taking ML/GenAI systems to production (deployment, monitoring).

Responsibilities

  • Build end-to-end agentic AI features in production.
  • Engineer planning, retrieval, tool-use, and orchestration components.
  • Connect agents to numerous internal data sources securely.
  • Deliver on Google Cloud: deploy and operate Vertex AI, GKE, BigQuery, Cloud Run.
  • Contribute to Perplexity-style front end and user experience.
  • Establish evals, guardrails, observability, and feedback loops.
  • Collaborate on-site with Humana stakeholders in NYC.

Skills

Python
Agentic AI systems
Google Cloud Platform
LLM integration
Production ML/GenAI

Tools

LangChain
LangGraph
LlamaIndex

Job description

## Senior Machine Learning EngineerApplylocations: US New York - Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR11514While 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!# **About 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 firmsQuantiphi 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# # **Job Description:****Location:**Mid-Town NYC, USA **Work Model:** In-person 3 days/week**Experience Level:** 5+ Years# ****Engagement Context & What You'll Build****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.# ****Key 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.# ****Required Qualifications****## ****Must-Have Skills***** 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).## ****Strong Plus (Big Positives)***** 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)# ****Ideal Candidate Profile****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.**What’s in it for YOU at Quantiphi?*** Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.* Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.* Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.* Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.*If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*
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