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About the Role

Join a focused pod building two tightly-coupled capabilities for Humana's internal users: an Internal Agentic Search Engine and a Perplexity-Style Front End. You will build agentic pipelines, design retrieval and orchestration layers, and implement tool-use for accurate, cited, and trustworthy answers. You will also deliver a fast, intuitive, conversational search experience, partner across the stack to connect the backend to a responsive UI, and instrument usage and feedback signals.

Responsibilities

Build hands-on, end to end, shipping agentic AI features into production.
Engineer agentic systems, developing planning, retrieval, tool-use, and orchestration components.
Integrate agents reliably and securely with numerous internal and enterprise data sources.
Build, deploy, and operate solutions natively on Google Cloud (Vertex AI, GKE, BigQuery, Cloud Run, and related services).
Contribute to the Perplexity-style front end for fast, grounded, well-cited answers.
Own quality and evaluation by establishing evals, guardrails, observability, and feedback loops.
Collaborate on-site in the NYC Mid-Town office Tuesday through Thursday, pairing closely with the pod and Humana stakeholders.
Operate with urgency in a fast-moving engagement, iterating quickly and driving outcomes.

Requirements

Strong, current software engineering fundamentals with 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, including 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).

Skills

Python
Agentic AI systems
Tool-use
Planning
Multi-step reasoning
RAG/retrieval
Google Cloud
Vertex AI
GKE
BigQuery
Cloud Run
Cloud Storage
IAM
LLM applications
Data source integration
ML/GenAI production deployment
Scaling
Monitoring
Reliability
Frontier models
Gemini
Open-source agentic frameworks
LLM frameworks
LangChain
LangGraph
LlamaIndex
Front-end development
Full-stack development
Evaluation frameworks
Guardrails
Responsible-AI practices

Location

Mid-Town NYC, USA

Work Type

In-person 3 days/week

Experience Level

5+ Years

About the Company

Quantiphi is an award-winning, AI-First global digital engineering company that helps 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.
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.