Agentic AI Engineer
About The Position
We are seeking an Agentic AI Engineer to support the development of a customized AI agent solution for one of our clients. We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements — understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work — building agents that go live, with real clients, on real timelines. Environment: We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding. If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk.
Requirements
- A minimum of 2 years of experience is required
- Education requirements: Master's degree
- Mandatory skills: Agentic AI, Claude, LLM
- Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK
- Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines
- Translating a client's messy real-world process into a structured agent design
- Communicating clearly with non-technical stakeholders — you can explain what you're building and why
- Delivering under real project constraints — timelines, client expectations, shifting requirements
Nice To Haves
- Experience building agents for GTM use cases — sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations
- Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools
Responsibilities
- Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage
- Design and build custom AI agent solutions tailored to each client's stack, data, and constraints
- Own full delivery — from architecture and prompt design to tool integration, testing, and handoff
- Build evals and monitoring so clients can trust what's running in production
- Move across engagements — you'll context-switch between clients and industries
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
