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

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.