AI Engineer

Talentify; Town of Texas (WI); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid Work Options

Award-Winning Culture

Generous PTO

Paid parental leave 14 weeks

Gym membership or equipment

Benefits from day one

401K with employer match

Tuition reimbursement after one year

Fertility assistance

Sabbatical eligibility

Job summary

Talentify is seeking a Senior Engineer to lead design, development, and delivery of AI-driven software systems. You will own complex components, drive engineering best practices, and collaborate across teams to align solutions with user needs and business goals.

Responsibilities include designing full-stack components, implementing agent orchestration, integrating with Azure and CI/CD pipelines, and mentoring junior engineers while delivering high-quality, secure code on a scalable platform.

Qualifications

• 6-9 years of software engineering experience.
• Shipping AI/LLM-powered features into real user workflows.
• Proficient in full-stack development, data stores (SQL/NoSQL), Redis.
• Hands-on with CI/CD, containers (Docker), and cloud services (AWS/Azure).
• Strong communication and documentation skills.
• Ability to work independently and manage competing priorities.

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 focus on correctness, safety, and reliability.
• Implement and review high-quality code using modern software development practices.
• Lead design reviews emphasizing performance, scalability, and maintainability.
• Collaborate with QA, DevOps, Product, and other teams to deliver features.

Skills

AI/LLM features

Agentic frameworks

Full-stack

Kubernetes

Azure

CI/CD

Docker

ReactJS

Documentation

Tools

ReactJS

Docker

Kubernetes

Azure

Job description

About this job

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.
• 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.

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
• 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

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.