AI Engineer

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

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.