Job Description:Location: Mid-Town NYC, USA
Work Model: In-person 3 days/week
Experience Level: 5+ Years
Engagement Context & What You'll BuildYou 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 QualificationsMust-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 ProfileThe 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!
