AI Engineer

JD:

Senior AI Engineer – Copilot & Agentic Development

Role Summary

We are seeking aSenior AI Engineer who can independently design, build, and operateAI‐native software systems using theMicrosoft Copilot ecosystem and modernagentic development patterns.

This role is ideal for someone who ishighly autonomous, comfortable operating withminimal supervision, and capable ofcommunicating clearly with both technical and non‐technical stakeholders. You will be responsible not only for writing code, but for shapinghow software is built using AI‐assisted and agent‐driven workflows.

Key Responsibilities

· Design, build, and productionizeAI‐augmented and agentic software systems, with a strong focus onMicrosoft Copilot suite across development and productivity workflows.

· UseGitHub Copilot and modernIDE‐based "vibe coding” approaches to accelerate software delivery while maintaining production‐grade quality.

· Developmulti‐step, tool‐using AI agents that can reason, plan, execute, and validate outcomes across real‐world systems.

· Applyagentic software development patterns (task decomposition, memory, orchestration, feedback loops, guardrails).

· Integrate and evaluatemultiple LLM providers, includingClaude, selecting the right model based on reasoning depth, cost, latency, and safety.

· Translate ambiguous business problems intowell‐structured AI‐driven solutions with clear constraints and measurable outcomes.

· Own solutions end‐to‐end: architecture, implementation, testing, deployment, monitoring, and iteration.

· Produce concise technical documentation and explain design decisions clearly to architects, product owners, and executives.

· Act as atechnical multiplier for teams—setting standards, patterns, and best practices for AI‐assisted development.

Required Experience & Skills

Core Technical

· Senior‐level software engineering experience (typically8+ years), including designing and delivering production systems.

· Strong hands‐on experience with theMicrosoft Copilot ecosystem (e.g., Microsoft 365 Copilot, Copilot Studio, developer copilots).

· Extensive use ofGitHub Copilot as a first‐class development tool—not as an experiment, but as part of daily engineering workflows.

· Practical experience withClaude and other leading LLMs, including prompt design, tool use, and structured outputs.

· Proven experience building or operatingagentic systems (multi‐step reasoning, autonomous execution, human‐in‐the‐loop).

· Strong programming skills in at least one modern language (e.g., Python, TypeScript, C#), with solid software design fundamentals.

· Experience integrating AI solutions into real systems (APIs, data sources, enterprise platforms).

Engineering Approach

· Demonstrated use ofIDE‐driven, AI‐assisted "vibe coding” techniques to move fast without sacrificing clarity, safety, or maintainability.

· Strong understanding of testing strategies and validation for AI‐assisted code and agents.

· Ability to reason about reliability, failure modes, security, and cost in AI‐heavy systems.

Autonomy & Communication

· Extremelyself‐directed—able to define next steps, unblock yourself, and make sound technical decisions without constant oversight.

· Excellentwritten and verbal communication skills.

· Comfortable explaining complex AI concepts inplain, concrete language to senior stakeholders.

· Able to challenge assumptions respectfully and propose better alternatives when needed.

Nice to Have

· Experience withenterprise security, identity, governance, or Responsible AI concepts.

· Familiarity withCopilot customization, plugins, or extensions.

· Experience coaching teams or setting AI engineering standards.

· Background in architecture or technical leadership roles.

Required Qualifications

·Education

o Bachelor's degree in Computer Science, Engineering, or a related technical disciplineor equivalent practical experience.

o Advanced degrees are welcome butnot required if hands‐on experience is strong.

·Professional Experience

o8+ years of professional software engineering experience, with direct ownership of production systems.

o3+ years working hands‐on with AI‐assisted development, LLM‐driven systems, or intelligent automation.

o Demonstrated experience operating insenior or lead engineer capacity, influencing design decisions beyond individual tasks.

·AI & Copilot Expertise

o Proven, real‐world experience with theMicrosoft Copilot suite, including using Copilot as part of daily engineering and productivity workflows.

o Hands‐on experience withGitHub Copilot used systematically for design, coding, refactoring, testing, and documentation—not occasional usage.

o Practical experience working withClaude (and similar frontier models), including understanding strengths, limitations, and appropriate use cases.

·Agentic Software Development

o Experience designing or implementingagentic systems, including:

§ Multi‐step reasoning and task decomposition

§ Tool‐calling and execution orchestration

§ State, memory, and context management

§ Human‐in‐the‐loop and guardrail patterns

o Ability to reason about reliability, failure modes, retries, and validation of autonomous behaviors.

·Software Engineering Fundamentals

o Strong proficiency in at least one modern programming language (e.g.,Python, TypeScript, C#).

o Solid grounding in software design principles, APIs, version control, testing practices, and deployment pipelines.

o Experience integrating AI components intoreal enterprise systems, not isolated prototypes.

·Autonomy & Execution

o Demonstrated ability to work withminimal direction, define technical paths forward, and make sound decisions independently.

o Track record of owning outcomes end‐to‐end: problem framing, implementation, delivery, and iteration.

·Communication

o Excellent written and verbal communication skills.

o Ability to explain complex AI and engineering conceptsclearly and concretely to diverse audiences, including senior leadership.

o Proven ability to document decisions, assumptions, and trade‐offs succinctly.

Preferred / Additional Qualifications

· Experience withCopilot extensibility, customization, plugins, or Copilot Studio.

· Familiarity withResponsible AI, governance, security, or compliance considerations in enterprise environments.

· Experience defining or scalingAI‐assisted engineering standards across teams.

· Background in architecture, platform engineering, or technical leadership roles.