Agentic AI Engineer

Reposted 18 Days Ago
Boston, MA, USA
In-Office
Junior
Marketing Tech • Business Intelligence
The Role
The Agentic AI Engineer will design and build customized AI agent solutions tailored to client needs, manage full delivery, and ensure production quality.
Summary Generated by Built In

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.
Work Location: Remote position (40 hours per week)
Duration: Full-time role
Pay-rate: $30+/hr
**No C2C resumes are considered**
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

Qualifications:

  • 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 have:

  • 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

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

Skills Required

  • Minimum of 2 years of experience
  • Master's degree
  • Experience with agentic AI, Claude, and LLM
  • Building production-grade agentic systems using frameworks like LangChain, etc.
  • Designing agent architectures and translating processes into structured designs
  • Clear communication with non-technical stakeholders
  • Delivering under real project constraints
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The Company
HQ: Santa Clara, CA
31 Employees
Year Founded: 2010

What We Do

FocusKPI brings deep domain experience in business and marketing analytics to enable our clients to unlock growth-driving insights from data. We help our clients develop action-oriented analytics and data science products that are customized to company-specific needs and integrated into their platforms for ongoing use. Our Accelerators, a toolbox of frameworks and models built over 10+ years, fast-track projects by capitalizing on our experience. Capabilities: Predictive Analytics AI / Machine Learning Measurement Text Analysis Key Industries Served: Retail Media B2B & B2C Sales, Marketing, and Merchandising Software & Applications

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