AI Engineer

Role Overview

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

• 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.
• 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.
• Communicates technical ideas clearly across teams and stakeholders.
• Delivers high-quality, tested, and secure code consistently.
• Actively contributes to improving team processes, standards, and tooling.

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.