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Agentic AI Engineer

Omnis Partners
Full-time
On-site
New York
$200,000 - $200,000 USD yearly
Get AI-powered advice on this job and more exclusive features. This range is provided by Omnis Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$200,000.00/yr - $300,000.00/yr We are seeking experienced

Agentic AI Consultants

to design, build, and scale

autonomous multi-agent systems

that move beyond PoCs and into real-world production. The ideal candidate will unite

software engineering depth with data science expertise

- capable of hands-on system development while also engaging clients in workshops and strategic roadmaps. Responsibilities

Architect multi-agent frameworks

(e.g. ReAct, CoT loops, LangGraph) and orchestrate tool-rich workflows. Productionise AI solutions : move beyond PoC into systems serving 100s–1000s of users with robust monitoring and orchestration. Deploy and scale

agentic AI across diverse environments (SQL, pandas, RAG, MCP). Evaluate systems rigorously : Pass@N, multi-run testing, retriever validation, and component-level analysis. Educate & consult : Run ideation sessions, maturity assessments, and roadmap planning for enterprise/government clients. Collaborate cross-functionally

with AI engineers, architects, and product teams to deliver market-ready solutions. Stay ahead of the curve

by exploring LLM advancements, orchestration tools, and evaluation methodologies. Requirements

Required: PhD or Masters in AI, Computer Science, or related discipline. 3+ years in AI, Data Science, or advanced technical consulting. Proven track record of

building and deploying agentic systems into production . Strong

software engineering foundations

(deployment, memory orchestration, monitoring). Familiarity with

agentic architectures

(LangGraph, ReAct, CoT loops). Ability to engage clients with clear communication and advisory skills. Preferred: Knowledge of

TensorFlow, PyTorch, vector databases, retrieval-augmented generation (RAG) . Background in start-ups (T-shaped generalists) or consultancies (client-facing exposure). Experience in regulated industries or public sector projects. Self-starter mindset — independent, solutions-driven, and comfortable without hand-holding. Benefits

Impact at scale : Deliver production-ready systems for Fortune 100s and government bodies. Cutting-edge team : Work alongside industry leaders, academics, and innovators. Global flexibility : Remote-first, with travel and relocation options worldwide. Growth & research : Influence academic research while shaping enterprise AI adoption. Culture : A fast-moving, entrepreneurial team environment with the backing of a global consulting leader.

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