AI Engineer

Ryan•Dallas, TX

11d•Hybrid

About The Position

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.

Requirements

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
Ability to debug complex issues and propose effective solutions with minimal guidance
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
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
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
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
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.
Valid driver’s license required.

Nice To Haves

Experience using frameworks in .NET ecosystem with ReactJS is a plus

Responsibilities

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.
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.
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.
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.
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.
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.