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Open nowPosted 9 days ago

AI Engineer

Ryan51 open roles

Where
Dallas TX
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Your applicationOpen nowAI EngineerRyan · Dallas TX

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Ryan postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 9 days ago

Ryan median: 4 days open

The posting

Why Ryan?

  • Hybrid Work Options
  • Award-Winning Culture
  • Generous Personal Time Off (PTO) Benefits
  • 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
  • Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
  • Benefits Eligibility Effective Day One
  • 401K with Employer Match
  • Tuition Reimbursement After One Year of Service
  • Fertility Assistance Program
  • Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

As a Senior Engineer, you will play a pivotal role in the design, development, and delivery of robust, scalable, and secure AI-driven software systems. You’ll be expected to own complex components, lead critical feature implementation, and drive engineering best practices within your squad. This role bridges the execution gap between high-level design and detailed implementation, with active participation in solutioning, system integration, evaluation, and continuous improvement initiatives.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, business goals, safety expectations, and performance constraints. This role demands hands-on engineering capabilities, a high degree of ownership, and the ability to work independently as well as within a team.

Key Responsibilities

Software Design and Development

  • Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs).
  • Design and document functional and technical specifications for mid-to-large components.
  • Implement agent orchestration, tool-use, and integrations with strong focus on correctness, safety, and reliability.
  • Implement and review high-quality code using modern software development practices.
  • Conduct design and code reviews with an emphasis on performance, scalability, and maintainability.

Applications Integration & Middleware

  • Integrate enterprise applications and services using APIs and middleware solutions.
  • Conduct feasibility assessments and support application interoperability testing.
  • Troubleshoot integration issues and support optimization of connected systems.

Cloud, DevOps & Configuration

  • Develop and participate in deploying software in Azure cloud environments.
  • Configure platform-specific deployment scripts and troubleshoot build-release issues.
  • Participate in infrastructure-as-code practices and cloud performance tuning.

Testing & Automation

  • Define evaluation strategies for agent behavior: golden datasets, regression suites, scenario coverage, and reliability checks.
  • Instrument and monitor agent behavior (tool-call traces, latency/cost metrics, failure modes) and drive iterative improvements.
  • Design and execute complex unit, integration, and automated test cases.
  • Analyze and resolve test failures, propose code fixes, and contribute to automation frameworks.
  • Collaborate with QA and DevOps teams to drive CI/CD pipeline enhancements.

Architecture Support

  • Assist in translating high-level architecture into low-level designs.
  • Develop and maintain design artifacts under the guidance of architects and staff engineers.
  • Understand existing system architecture and communicate trade-offs during design sessions.

Collaboration & Execution

  • Work closely with product managers, UX designers, and business stakeholders.
  • Contribute to project planning and estimation for features and enhancements.
  • Lead technical discussions, mentor junior engineers, and support knowledge sharing.

Required Competencies

Technical Strength

  • Deep understanding of core programming concepts, system design principles, and application performance optimization
  • Hands-on experience building agentic systems with LLMs (tool-use, orchestration, multi-step flows, verification/validation patterns) and MCPs.
  • Proficient in one or more agentic frameworks (LangChain/LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI, etc.)
  • Proficient in writing clean, efficient, and maintainable code across at least one modern full stack
  • Experience using frameworks in .NET ecosystem with ReactJS is a plus
  • Ability to debug complex issues and propose effective solutions with minimal guidance

Solution Ownership

  • Demonstrates end-to-end ownership of features or components from design to deployment
  • Proactively anticipates risks, raises concerns early, and takes accountability for resolving them
  • Capable of breaking down complex problems into actionable technical work
  • Review code to ensure correct functionality, potential holistic solutions, identify unexpected side effects, and conforming to documented standards

Collaboration & Influence

  • Communicates technical ideas clearly across teams and stakeholders
  • Build strong partnerships with QA, DevOps, Product, and other engineering teams
  • Provides constructive feedback in code and design reviews, mentors junior engineers effectively

Execution Excellence

  • Delivers high-quality, tested, and secure code consistently
  • Prioritizes well and executes in alignment with sprint goals and timelines
  • Manages multiple competing tasks and handles changing priorities with discipline

Continuous Improvement

  • Actively contributes to improving team processes, standards, and tooling
  • Stay updated on new technologies and apply relevant practices where appropriate
  • Seeks feedback and adapts to strengthen performance and technical acumen

What You Bring

  • 6–9 years of software engineering experience, with a strong track record of building production-grade systems
  • Demonstrated experience shipping AI/LLM-powered features (agents/agentic-frameworks, RAG, tool-calling, workflow automation) into real user workflows.
  • Proficiency in at least one modern full-stack, data-stores (SQL/NoSQL), Redis, Containerization, Kubernetes, Azure Cloud-Native Services
  • Strong understanding of data structures, design patterns, and system integration techniques
  • Hands-on experience with CI/CD, containers (Docker), and cloud services (AWS/Azure)
  • Demonstrated ability to design, test, and debug complex systems in a collaborative setting
  • Attention to details and ability to work with a large codebase
  • A proactive mindset with the ability to work independently and manage competing priorities
  • Excellent written and verbal communication skills
  • Able to document and present technical concepts clearly
  • Awareness when progress has stalled and a willingness to ask for help or confirmation.

Certificates and Licenses:

Valid driver’s license required.

Supervisory Responsibilities:

May directly supervise employees in the Business Solutions practice and carry out supervisory responsibilities in accordance with the Firm's policies and applicable laws.

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