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Info-Tech Research Group

Agentic AI Developer (Client Facing)

Info-Tech Research Group · United States

  • Hybrid
  • Full-time
  • $120,000 / year
  • United States

Job highlights

  • Design and build agentic AI workflows and prototypes.
  • Lead client workshops and collaborative AI build sessions.
  • Develop practical AI research and thought leadership.
  • Provide advisory support for AI implementation and scaling.
  • Collaborate across teams to drive AI initiatives.

About the role

Position Purpose

Info-Tech is expanding its Applied AI practice to help organizations move from AI ambition to real, working AI systems, starting with agentic AI design, rapid prototyping and extending into implementation and optimization. This role combines hands-on delivery, applied research, and client advisory. You will lead Agentic AI Design & Prototyping workshops, working directly with member organizations to design end-to-end agentic workflows, build functional AI prototypes, and facilitate collaborative build sessions and hackathons. You will also develop new AI research and advise members as they scale and implement AI systems. Over time, this role will expand into larger AI engagements, deeper implementation work, and ongoing advisory as our AI offerings mature. We’re looking for someone who wants to grow with practice and help shape its future direction. If you’re energized by building AI systems, experimenting quickly, and collaborating closely with organizations and teammates to turn ideas into working solutions, this role was built for you. Our promise to you: You will work for a rapidly growing company that understands the importance of supporting employees through flexibility, inclusiveness, learning and development, internal career mobility, measurement of the Employee Experience and actioning on employee feedback and building strong relationships.

What You Will Do, Includes, But Not Limited To

Deliver Agentic AI Workshops & Prototyping Engagements

  • Lead Info-Tech’s Agentic AI Design & Prototyping workshops with member organizations
  • Guide participants through the full, end-to-end process:
    • Identifying high-value use cases
    • Designing agent roles, workflows, and orchestration patterns
    • Rapidly building and iterating functional AI agent prototypes
  • Facilitate hands-on build sessions and hackathons that move teams from concept to demo-ready solutions
  • Collaborate directly with member teams to co-create and refine AI artifacts during live engagements
  • Capture workshop outputs and translate them into clear, practical deliverables members can take forward

Build & Prototype AI Systems

  • Rapidly prototype AI agents, LLM workflows, and intelligent automations using modern AI stacks
  • Experiment with agent frameworks, orchestration approaches, evaluation techniques, and tooling
  • Troubleshoot, refine, and evolve prototypes in real time with member teams
  • Contribute to internal agent development and experimentation to improve how Info-Tech uses AI in its own service delivery

Research & Thought Leadership (Applied and Practical)

  • Contribute to the development of practical AI resources, including:
    • Agent blueprints and design patterns
    • Workflow templates and prototype examples
    • Evaluation models and implementation guidance
  • Stay current on emerging AI and agentic development practices
  • Translate hands-on experience and industry trends into usable research and frameworks for members.

Advisory & Larger Engagements

  • Provide advisory support to members as they move from prototype to broader implementation
  • Help organizations make informed decisions about:
    • AI architecture and tooling
    • Agent deployment and scaling
    • Governance, risk, and operational considerations
  • Lead advisory calls with senior IT and digital leaders, translating complex AI concepts into practical guidance

Cross-Functional Collaboration & Internal Enablement

  • Partner with Research, Advisory, Sales, Marketing, and Delivery teams to support AI-related initiatives
  • Train peers on published AI research and emerging practices
  • Design and deliver high-quality presentations, workshops, and internal learning sessions as needed

To Be Successful, You Will Need

Experience & Technical Depth

  • 5–8 years of hands-on technical experience, including 2–3+ years building, prototyping, or operationalizing AI/ML systems
  • Practical experience designing and developing AI agents, including orchestration, prompting strategies, tool use, and workflow integration
  • Experience working in or alongside ML Ops or AI delivery teams, with an understanding of how AI systems move from prototype to production

AI & Engineering Toolkit

  • Hands-on experience with modern AI development tools and platforms, including:
    • Programming: Strong proficiency in Python and working knowledge of JavaScript
    • Agent & LLM frameworks: LangChain, PyTorch (or equivalent)
    • AI platforms & APIs: OpenAI SDK or similar foundation model tooling
    • Dev tools: Git, Docker
    • Cloud platforms: AWS and/or Azure
  • Comfortable rapidly building and iterating AI prototypes.

Workshop, Facilitation & Advisory Skills

  • Experience facilitating hands-on technical workshops, hackathons, or build sessions
  • Strong client-facing presence, with the ability to engage both technical teams and senior leaders
  • Track record of building trusted advisor relationships with managers and stakeholders; experience with executive audiences is a strong asset

Education & Credentials

  • Undergraduate degree required; Computer Science or related technical degree preferred
  • Certifications in AI, ML, cloud platforms, or related disciplines are valued, but practical experience is the priority

Travel Requirement

  • Must be flexible and have ability to travel to deliver workshops onsite at client locations both within and outside of North America.

Visa Requirement

  • Must be eligible to obtain appropriate work Visa for cross-border work within North America and globally.

Work Hours Requirements

  • Must be available for after-hours work periodically to service APAC clients.

Language Skills

  • Bilingual proficiency in French, Spanish or German is preferred to support our diverse client base across North America and globally.

Skills & Attributes

  • Inclusion
  • Client Interaction and Facilitation
  • Public Speaking
  • Knowledge Application, Problem Solving & Decision Making
  • Project Management
  • Writing Ability
  • Business Development
  • Research
  • Managing Through Change & Uncertainty
  • Dynamic Learning Mindset

Equal Opportunity Employer Statement

ITRG is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected factors. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process.

Key skills/competency

Agentic AI Developer, AI systems, AI prototypes, LLM workflows, AI agents, Python, LangChain, AWS, Azure, Client Advisory

Skills & topics

  • Agentic AI Developer
  • AI
  • Artificial Intelligence
  • Machine Learning
  • LLM
  • Python
  • LangChain
  • Prototyping
  • Client Advisory
  • Workshop Facilitation
  • Cloud Platforms
  • AWS
  • Azure
  • MLOps
  • Developer

How to get hired

  • Customize your resume: Highlight your hands-on experience with AI agents, LLM frameworks like LangChain, Python, and cloud platforms (AWS/Azure).
  • Showcase client-facing skills: Emphasize your experience in workshop facilitation, client advisory, and building trusted relationships.
  • Demonstrate technical depth: Detail your experience in building, prototyping, or operationalizing AI/ML systems, and your knowledge of MLOps.
  • Prepare for technical and behavioral interviews: Be ready to discuss your approach to designing AI agents, troubleshooting prototypes, and collaborating with diverse teams.
  • Express your interest in growth: Clearly articulate how you aim to grow with the practice and shape its future direction.

Technical preparation

Master Python and JavaScript for AI development.,Deepen knowledge of LangChain and LLM frameworks.,Practice building and iterating AI agent prototypes.,Familiarize with AWS and Azure cloud services.

Behavioral questions

Describe a complex AI problem you solved.,How do you facilitate technical workshops effectively?,Share an example of building client trust.,How do you stay updated on AI advancements?

Frequently asked questions

What specific agent frameworks are prioritized for the Agentic AI Developer role at Info-Tech Research Group?
For the Agentic AI Developer position at Info-Tech Research Group, hands-on experience with frameworks like LangChain is highly valued. While PyTorch or equivalent experience is also beneficial, the focus is on practical application in building and prototyping AI agents and LLM workflows.
How important is client-facing experience for an Agentic AI Developer at Info-Tech Research Group?
Client-facing experience is crucial for the Agentic AI Developer role. You will be leading workshops, facilitating build sessions, and providing advisory services to member organizations, requiring strong communication, facilitation, and relationship-building skills with both technical teams and senior leaders.
What is the expected travel frequency for the Agentic AI Developer position?
The Agentic AI Developer role requires flexibility for travel to client locations within and outside of North America to deliver onsite workshops. While specific frequency isn't stated, a willingness and ability to travel are necessary for this client-facing position.
Does Info-Tech Research Group sponsor work visas for the Agentic AI Developer role?
Yes, candidates for the Agentic AI Developer position must be eligible to obtain the appropriate work visa for cross-border work within North America and globally, indicating that visa sponsorship may be available.
What are the primary programming languages required for the Agentic AI Developer job?
The Agentic AI Developer role requires strong proficiency in Python. Additionally, working knowledge of JavaScript is expected, aligning with the modern AI stacks used for prototyping and development.
Can I apply for the Agentic AI Developer role if my degree is not in Computer Science?
While an undergraduate degree in Computer Science or a related technical field is preferred for the Agentic AI Developer role, Info-Tech Research Group also highly values practical experience. If you have a strong background in building and prototyping AI systems, your application will be considered.
What does 'Agentic AI' mean in the context of this job description?
'Agentic AI' refers to artificial intelligence systems designed to act autonomously or semi-autonomously to achieve specific goals. For this role, it involves designing, prototyping, and implementing AI agents that can perform tasks, use tools, and interact within defined workflows.
What are the opportunities for growth within Info-Tech's Applied AI practice?
This Agentic AI Developer role offers significant growth opportunities. You can expand into larger AI engagements, deeper implementation work, and ongoing advisory services as the practice matures, with the chance to help shape its future direction.