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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Senior AI Engineer — Dallas-Fort Worth Metroplex

ML и AI, AI-инженерия · сегодня, 00:39 · 12.11.2026

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Компания: ••••••••

Локация: Dallas-Fort Worth Metroplex

Формат: не указан

Занятость: Полная занятость

Грейд: Senior

Relocation assistance is provided for candidates out-of-state.

The Company

This AI-native startup raised $30M seed and is building a revolutionary AI product. The product works by gathering a company’s information from across its many systems and organizes it so AI agents can work with real business context, while the product is installed in the customer’s own environment (on-prem). The company has early design partners ranging from healthcare, government, retail, and enterprise companies partnering with them and preparing for a production launch next year.

Your Mission

As an Senior AI Engineer, you'll be more than just a builder, you'll be a self-starter and create solutions from vague direction. You'll help grow the core product, create agent toolkits for customers, and become a go-to resource for the team when it comes to AI best practices and clever solutions. When the product launches, you'll work directly with customers to get everything up and running on-premises and ensure they're set up for success. If you're looking for a role where you can code all day without talking to anyone, this isn't it. You'll collaborate with customers, partner with engineers, share ideas, and see a real impact with your efforts.

The Team

The engineering team is a collaborative and fun group, who are energetic and willing to learn. They do happy hours, get together for coding sessions, and do team outings (ice skating included). The team is excited to welcome their newest member.

What You'll Do

• Build the Foundation. Help design and develop the core AI platform that supports agent ecosystem.

• Create Intelligent Agents. Design, build, and optimize AI agents, orchestration frameworks, tools, memory systems, and workflows that solve real customer problems.

• Make AI Performance Measurable. Design evaluations, test suites, and feedback loops that measure how accurate and reliable your agents are in real customer scenarios.

• Own Outcomes. Take broad goals and turn them into shipped solutions.

• Lead by Example. Set the standard for engineering excellence through your work.

• Move Fast. Thrive in a startup environment where priorities shift, new opportunities emerge, and no two weeks look exactly the same.

• Solve the Unknown. Be comfortable operating in ambiguity. Research new technologies, investigate problems independently, and find answers without needing constant direction or oversight.

• Collaborate Across Teams. Work closely with product, leadership, and fellow engineers to turn ideas into reality.

• Work With Customers. Partner directly with customers during deployments, onboarding, and feedback sessions. You'll see firsthand how your work impacts their business and use those insights to improve the product.

• Deliver Real Impact. This isn't a role where your code disappears into a backlog. You'll build features, agents, and platform capabilities that customers use every day, giving you direct visibility into the results of your work.

• Help Shape the Future. As an early member of the team, you'll have significant influence over our engineering culture, technical direction, AI strategy, and the way we build products going forward.

Stack

• Typescript, Rust, Python, React, Node.js, NestJS, AWS, and Azure.

• Experience using Claude Code, Codex, or equivalent.

Requirements

• 5+ years experience software engineering.

• 2+ years experience building with LLMs, including at least one AI agent or LLM-powered system shipped to production.

• Proven experience shipping enterprise or B2B software, ideally with security or on-prem constraints.

• Experience working with customers and their technical requests.

• Self-starters who don't wait to be told what to do.

• Solution oriented problem solver who can turn ideas into working products.

• Excellent communication and interpersonal skills.

• Ability to work collaboratively with cross-functional teams and senior leaders.

Nice-to-have

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• Experience building and deploying AI agents using frameworks such as LangGraph, CrewAI, AutoGen, OpenAI SDK, or Semantic Kernel.

Benefits

• Relocation assistance provided (US based only).

• Unlimited PTO.

• 9 Paid Holidays.

• 401k with 6% Employer Match.

• Medical coverage for Health, Dental, Vision.

Compensation: $180,000 - $220,000 + equity.

Don’t meet every requirement? We encourage you to apply.

Our client is looking for the right engineer, not a perfect checklist. We’d like to hear from you even if some items here are missing from your experience. We'd like to see you apply and encourage you to look out for future opportunities with, eubZ6KVTk Kbd8sR YsPSetAa.

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