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Agent Engineer

As an Agent Engineer at Valantor, you’ll work hand-in-hand with our customers to design and deploy intelligent agents that solve their most pressing document challenges. Using our GroundX document ingestion platform as the foundation, you’ll implement, refine, and adapt agents to deliver real business outcomes.


This role is deeply collaborative and applied—you’ll be in the room with clients, understanding their workflows, and translating their needs into working AI solutions. It’s an opportunity to combine technical expertise in Python and prompt design with direct customer engagement, bringing the most advanced AI for unstructured documents into live production environments.

About Valantor

Valantor is a full-stack AI + humans platform purpose-built for the BPO industry. We’re tackling the hardest problems in document processing—insurance claims, contracts, invoices, and other unstructured files—where today armies of humans still do the work. Our AI platform delivers unparalleled accuracy at scale, automating processes that were previously impossible to handle without large human teams.

Our proprietary AI technology has been in development for more than six years, and we were among the first beta users of OpenAI in 2021, giving us a head start in applying frontier AI to real-world enterprise problems. This technology has been engineered to process billions of unstructured documents with unmatched precision.

Our leadership team has built and exited multiple companies in BPO and enterprise software, with a track record of selling billions in solutions globally. We’ve combined that experience with world-class AI technology to create a platform that sets a new standard for accuracy, scalability, and enterprise readiness.

Joining Valantor means joining early—but not risky. We’ve raised significant capital, completed multiple strategic acquisitions, and are already generating tens of millions in revenue. It’s a unique chance to help shape a company that blends startup energy with enterprise scale, backed by veteran operators with deep vertical expertise.

Responsibilities

  • Partner with customers to design and implement agents that address real-world document workflows.

  • Develop and refine Python-based agent implementations tailored to client needs.

  • Write, test, and improve prompts to maximize agent accuracy and reliability.

  • Work cross-functionally with sales and delivery teams to ensure smooth deployment and client success.

  • Document solutions clearly and provide concise updates to both customers and internal stakeholders.

  • Balance autonomy and collaboration—taking ownership of solutions while partnering effectively with clients.

Requirements

Technical Skills

  • Demonstrated mastery in creating clear, succinct, effective prompts

  • Proficiency in Python

  • Experience designing, implementing, and refining agent-based or workflow automation systems

  • Strong debugging and problem-solving skills in applied client environments

Professional Attributes

  • Self-driven learner with a strong sense of ownership

  • Independent decision-maker who knows when to collaborate

  • Clear, concise written communicator with strong documentation habits

  • Organized and able to manage multiple customer-facing projects simultaneously

  • Comfortable working directly with enterprise customers

Benefits

  • Competitive salary, bonuses, and meaningful early equity participation

  • Health, dental, and vision coverage

  • Flexible work environment with global team collaboration (hybrid and remote)

  • Opportunity to work directly with enterprise clients to apply AI technologies

  • A rare opportunity to join an early venture-backed company already generating tens of millions in revenue

  • Mentorship from a leadership team with multiple successful exits and billions in software sales in the BPO market

Application Process

  1. Submit your resume to apply@joinvalantor.com

  2. Complete a short (30 - 60 minute) practical exercise to showcase AI agent prompt design and implementation skills

  3. Interview with Valantor's engineering and customer deliver teams (2 - 4 interviews)

  4. Final round discussions with the leadership team

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