AI Engineer

About the Role
Pay Rate: $50-60/hr
This is a high-visibility, high-impact opportunity to join a small, elite team driving Agentic AI innovation within one of the largest data ecosystems in the world. As part of this team, you will report directly to engineering leadership on a dedicated initiative focused on accelerating enterprise use cases through Agentic AI — including legacy code modernization, data pipeline optimization, and workflow automation.

The team has already proven out early success and is now expanding to deliver additional pilots. This is intentionally a lean, two-person engineering team designed to move fast and stay nimble. You'll have direct ownership over meaningful work and the autonomy to drive real outcomes.

What You'll Do
• Design, build, and deploy AI agents and agentic workflows to automate and accelerate enterprise processes across code modernization, data pipelines, and operational workflows
• Engineer RAG (Retrieval-Augmented Generation) pipelines to ground LLMs in domain-specific enterprise data for accurate, context-aware outputs
• Develop and iterate on LLM-powered tools and automation using frameworks like LangChain, HuggingFace, and similar agentic AI tooling
• Optimize and modernize data pipelines and SQL-based systems for performance and scalability
• Collaborate directly with IT leadership and cross-functional stakeholders (product, analytics, business) to translate ambiguous problems into working solutions
• Operate with a bias toward action — move quickly from idea to execution in a fast-paced, pilot-driven environment
• Contribute to the broader AI strategy by proving out new use cases and building reusable patterns for the enterprise

What We're Really Looking For (Intangibles > Existing Knowledge)
The hiring manager has emphasized that fast learner takes priority over existing knowledge and is looking for the following intangibles above all:

• Exceptional raw intellect & learning velocity — demonstrated ability to quickly absorb new domains, synthesize information, and operate with limited guidance
• Elite problem-solving ability — breaks down ambiguous problems, forms hypotheses, and iterates toward solutions with rigor and creativity
• High curiosity & ownership mindset — proactively explores "why" and "what's next," not just "what's assigned"
• Evidence of innovation — history of building, experimenting, or improving systems (side projects, startups, open-source contributions, academic research)
• Bias toward action — moves quickly from idea to execution; comfortable operating in ambiguity and imperfect conditions
• Strong communication skills — can articulate complex ideas clearly to both technical and non-technical stakeholders
• Leadership potential — demonstrates initiative, influence, and the ability to elevate others even without formal authority
• Cultural fit: low ego, high accountability — collaborates well, takes responsibility for outcomes, and prioritizes team success over individual credit

Why This Opportunity
• High-impact ownership — This role sits close to critical data products and infrastructure that directly influence business decisions and operational outcomes across one of the largest data ecosystems in the world
• Modern engineering culture — The team is leaning into automation, AI-assisted development, and emerging agentic workflows to improve engineering speed and quality
• Ownership with autonomy — This isn't a ticket-taking role. Engineers drive design decisions, influence roadmaps, and partner directly with stakeholders
• Cross-functional visibility — Collaborate closely with product, analytics, and business teams for broad organizational exposure
• Growth runway — Scope is broad enough to deepen technically while growing into architecture, technical leadership, or platform ownership
• Conversion potential — Strong path to full-time hire for the right person

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• BS or MS in Computer Science, Engineering, Data Science, or related field from a strong academic program
• Python as primary language — proficiency with AI/ML libraries (PyTorch, HuggingFace Transformers, Scikit-learn, Pandas, NumPy)
• Hands-on experience with LLMs (e.g., GPT, Gemini, Flan-T5, LLaMA, etc.)
• Strong SQL skills and experience working with large-scale data (optimization, schema design, pipeline development)
• Familiarity with cloud platforms (GCP preferred but not a deal-breaker; AWS/Azure acceptable)
• Version control proficiency (Git/GitHub)

• Open-source contributions or a strong GitHub portfolio
• Teaching assistant experience (demonstrates communication + mentorship ability)

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.