> Markdown version of [/jobs/ext/1891989-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1891989-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Quantiphi, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Storage, Databases, Identity and Access Management, Python (Programming Language), Open Source Technology, Software Engineering, Google Cloud, Large Language Models, Backend, Google Cloud Functions, Production Code, Search Engines, Front End Software Development, Virtual Agents, GPT - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/995252b7-f061-42b1-9930-5de90c773585 ## About the Role 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), 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. ## Description 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 Google Cloud Platform (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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Making Data Warehouses fast. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)