AI Engineer – Copilot & Agentic Development – Overall 10yrs

Syncreon Consulting•Deerfield Beach, FL

12h

About The Position

This role is for a Senior AI Engineer specializing in Copilot and Agentic Development. The position requires extensive experience in designing and delivering production systems, with a strong focus on the Microsoft Copilot ecosystem, GitHub Copilot, and leading LLMs like Claude. Candidates should have proven experience in building and operating agentic systems, demonstrating strong programming skills and software design fundamentals. The role emphasizes an engineering approach that includes AI-assisted development, robust testing strategies, and a deep understanding of reliability, security, and cost in AI-heavy systems. Autonomy, excellent communication skills, and the ability to explain complex AI concepts to senior stakeholders are crucial.

Requirements

Senior-level software engineering experience (typically 8+ years), including designing and delivering production systems.
Strong hands-on experience with the Microsoft Copilot ecosystem (e.g., Microsoft 365 Copilot, Copilot Studio, developer copilots).
Extensive and systematic use of GitHub Copilot as a first-class development tool as part of daily engineering workflows, including for design, coding, refactoring, testing, and documentation.
Practical experience with Claude and other leading LLMs, including prompt design, tool use, and structured outputs, and understanding their strengths, limitations, and appropriate use cases.
Proven experience building or operating agentic systems, including multi-step reasoning, autonomous execution, human-in-the-loop, tool-calling, execution orchestration, state/memory/context management, and guardrail patterns.
Strong programming skills and proficiency in at least one modern language (e.g., Python, TypeScript, C#).
Solid software design fundamentals, including principles, APIs, version control, testing practices, and deployment pipelines.
Experience integrating AI solutions and components into real enterprise systems, not isolated prototypes.
Demonstrated use of IDE-driven, AI-assisted “vibe coding” techniques.
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, including retries and validation of autonomous behaviors.
Extremely self-directed and autonomous, able to define technical paths, unblock oneself, and make sound technical decisions with minimal direction.
Excellent written and verbal communication skills, including the ability to explain complex AI and engineering concepts clearly and concretely to diverse audiences and senior leadership.
Ability to challenge assumptions respectfully and propose better alternatives.
Bachelor’s degree in Computer Science, Engineering, or a related technical discipline or equivalent practical experience.
3+ years working hands-on with AI-assisted development, LLM-driven systems, or intelligent automation.
Demonstrated experience operating in a senior or lead engineer capacity, influencing design decisions beyond individual tasks.
Track record of owning outcomes end-to-end.
Proven ability to document decisions, assumptions, and trade-offs succinctly.

Nice To Haves

Experience with enterprise security, identity, governance, or Responsible AI concepts.
Familiarity with Copilot customization, plugins, or extensions.
Experience coaching teams or setting AI engineering standards.
Background in architecture or technical leadership roles.
Advanced degrees are welcome but not required if hands-on experience is strong.

Responsibilities

Design and deliver production systems.
Utilize the Microsoft Copilot ecosystem (e.g., Microsoft 365 Copilot, Copilot Studio, developer copilots) in daily engineering workflows.
Employ GitHub Copilot systematically for design, coding, refactoring, testing, and documentation.
Work with Claude and other leading LLMs, including prompt design, tool use, and structured outputs.
Build and operate agentic systems, encompassing multi-step reasoning, autonomous execution, and human-in-the-loop patterns.
Program proficiently in modern languages such as Python, TypeScript, or C#, applying solid software design fundamentals.
Integrate AI solutions and components into real systems, APIs, data sources, and enterprise platforms.
Apply IDE-driven, AI-assisted “vibe coding” techniques to ensure speed, clarity, safety, and maintainability.
Develop and implement strong testing strategies and validation for AI-assisted code and agents.
Reason about and ensure reliability, failure modes, security, and cost-effectiveness in AI-heavy systems.
Work with minimal direction, defining next steps, unblocking oneself, and making sound technical decisions independently.
Communicate complex AI and engineering concepts clearly and concretely to diverse audiences, including senior leadership.
Challenge assumptions respectfully and propose better alternatives when needed.
Own outcomes end-to-end, from problem framing to implementation, delivery, and iteration.
Document decisions, assumptions, and trade-offs succinctly.