Senior AI Engineer (LLMs/UiPath)

Senior AI Engineer (UIPath/LLM)

Why Join Tech9?

At Tech9, we are driven by a clear vision—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. As a company at the forefront of innovation, we help our clients build exceptional software that not only meets today’s needs but anticipates tomorrow's challenges. Our approach blends cutting-edge AI technology, top-tier talent acquisition, and expert project management to ensure that businesses can scale effectively and deliver high-quality, world-class software on time and within budget.

Our partnerships speak volumes, with clients like Instructure, Young Living, Imagine Learning, Mars Corp., and many others trusting us to lead the way in software development. We are rapidly growing across our offices in the US, LATAM, and India, and we're creating an environment where talented individuals can thrive, collaborate, and have fun while building transformative solutions.

If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software development!

Project Description

We are working with the CEO of a client who needs a solid AI Engineer with deep UIPath experience and agentic AI expertise to support one of our cutting-edge projects—a consultancy that partners with founder-led, high-growth companies (typically $5M–$10M in annual revenue). These companies move fast, and our client helps them scale even faster by transforming their back office operations using intelligent agents and LLM-driven automation.

The consultancy’s approach is simple and powerful: identify the most manual, costly back office tasks and replace them with intelligent agentic solutions. This enables their clients to save up to 60% on manual operational costs, freeing up cash that can be reinvested into core growth initiatives—ultimately helping these businesses scale more rapidly and efficiently.

The consultancy's CEO has been personally building AI agents to automate workflows like accounting, order processing, and vendor coordination. He is now looking to hand off major LLM development to a dedicated engineer who can continue building, scaling, and optimizing these agentic systems. This role will be responsible for analyzing existing LLM solutions, building on top of them when appropriate, and developing custom LLM-powered agents where needed.

This is a customer-facing, high-ownership role where you’ll work directly with the CEO of an AI-focused consultancy firm. You’ll be embedded at the heart of innovation—helping real businesses drive real outcomes through automation. It’s a chance to make a tangible, lasting impact across multiple companies by designing systems that scale with them as they grow.

Role Description

You'll be key in transforming the shape of our client's company by doing the following: 

• Take over existing automation work directly from the CEO and begin building new, scalable agentic systems.
   
• Identify manual back office processes (e.g., invoicing, accounting, order fulfillment, etc.) and design automated solutions tailored to each client’s unique needs.
   
• Build and deploy agentic workflows using UIPath alongside bleeding-edge agent tools (LangGraph, Glean, etc.).
   
• Work with a variety of early-stage businesses, each with different operational challenges and growth patterns.
   
• Help shape reusable agentic frameworks that evolve as clients grow—your solutions will start simple and become more sophisticated as needs scale.

Agent Development & Implementation

• Design, develop, and deploy intelligent agentic automations using UiPath Studio, Orchestrator, and relevant tools.
   
• Build robust workflows that automate complex business processes across departments like accounting, order processing, and vendor operations.
   
• Create reusable components, libraries, and templates to accelerate future automation projects.
   
• Implement best practices for agentic systems including modular design, error handling, logging, and security compliance.
   
• Analyze existing LLMs and build on or create custom LLM-powered agents to support business needs.
   

Technical Leadership & Support

• Lead technical discussions and provide architectural input on automation strategy.
   
• Conduct code reviews and enforce best practices and governance policies.
   
• Troubleshoot and resolve production issues in deployed automations.
   
• Continuously optimize existing bots for performance, scalability, and reliability.
   

Collaboration & Customer Interaction

• Partner directly with the CEO of a leading AI-focused consultancy to execute automation strategies.
   
• Work closely with business analysts and client stakeholders to understand process requirements and deliver solutions.
   
• Collaborate cross-functionally to integrate RPA solutions with broader systems and APIs.
   
• Provide technical mentorship to junior developers and consultants.
   
• Create thorough technical documentation and end-user support materials.
   

Project Ownership & Delivery

• Participate in planning, scoping, and estimating automation projects.
   
• Manage and deliver multiple concurrent projects, ensuring timely delivery and quality.
   
• Communicate progress, risks, and technical challenges to stakeholders.

Minimum Requirements

• 2+ years of experience designing and developing LLM-powered agents or agentic systems in real-world applications.
• Familiarity with agentic frameworks and tools such as LangGraph, Glean, or similar ecosystems.
• 5+ years of professional experience building robust RPA solutions using UiPath Studio, Orchestrator, and related components
• Expertise in developing end-to-end workflows that automate complex business processes (e.g., accounting, order processing, vendor ops).
• Strong understanding of UiPath best practices: modular design, selectors, error handling, security protocols, and performance tuning.
• Proficiency with programming/scripting languages (e.g., Python, VB.NET, or C#) to support advanced automation needs.
• Experience integrating automations with APIs, databases (SQL Server, MySQL, etc.), and cloud-based services.
• English proficiency of C1+ 
• Strong communication and collaboration skills, including the ability to work directly with clients and stakeholders (including C-level executives).
• Ability to work independently, take ownership of projects, and adapt quickly in fast-paced, evolving environments.

Preferred Requirements

• UiPath Solution Architect or Advanced Developer Certification.
• Exposure to other RPA tools (e.g., Blue Prism, Automation Anywhere, Power Automate).
• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity with process mining tools (e.g., UiPath Process Mining, Celonis).
• Background in business process mapping and optimization.
• Bachelor’s or Master's degree in Computer Science, Engineering, or related field.

At Tech9, we are committed to providing a smooth, efficient, and transparent candidate experience. Our goal is to move quickly through the interview process, typically completing it within 2–3 weeks, depending on availability. We want to make sure you have clarity on every step, and we will keep you informed about the next steps as we progress. The desired start date for this position is September 15th, 2025, and we aim to complete the interview process and make a final decision by August 29th.

Interview Plan

Screening Interview (On-Demand HireVue)

• Duration: 30 minutes
   
• Format: Online assessment focused on your background and fit for the role. This is focused on situational/behavioral questions.
   

Recruiter Q&A

• Duration: 10 minutes
   
• Format: A brief virtual meeting with our recruiter to clarify the role, expectations, and answer any questions you may have. Note: This is not an interview.
   

Interview 1: 

• Duration: 90-120 minutes
   
• Format: Take home assessment focused on LLM building and looking at your creativity in solving complex problems.
   

Interview 2

• Duration: 60 minutes
   
• Format: Live virtual interview with the VP of Engineering or CTO at Tech9. This conversation will center around your hands-on skills and cover both technical depth and soft skills like ownership, communication, and ability to work independently.
   

Client Round Interview

• Duration: 60 minutes
   
• Format: Live video call with the CEO of our client. Focused on UIpath experience and skills as well as fit as you will be working directly with the CEO.
   

Total Interview Time Investment: 4–5 hours

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