Senior AI Engineer – Copilot & Agentic Development
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Location:
Hybrid (2 days Onsite at Deerfield Beach, FL)
Duration:
6-12 months of contract with possible extension
Client are seeking a
Senior AI Engineer
who can independently design, build, and operate
AI native software systems
using the
Microsoft Copilot ecosystem
and modern
agentic development patterns.
This role is ideal for someone who is
highly autonomous , comfortable operating with
minimal supervision , and capable of
communicating clearly with both technical and non-technical stakeholders.
You will be responsible not only for writing code, but for shaping h ow software is built using AI assisted and agent driven workflows.
Key Responsibilities:
· Design, build, and productionize
AI augmented and agentic software systems,
with a strong focus on
Microsoft Copilot suite
across development and productivity workflows.
· Use
GitHub Copilot
and modern
IDE based “vibe coding” approaches
to accelerate software delivery while maintaining production grade quality.
· Develop
multi step, tool using AI agents
that can reason, plan, execute, and validate outcomes across real world systems.
· Apply
Claude , selecting the right model based on reasoning depth, cost, latency, and safety.
· Translate ambiguous business problems into
well-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 a technical multiplier for teams—setting standards, patterns, and best practices for AI assisted development.
Required Experience & Skills
Core Technical
· 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 use of
GitHub Copilot
as a first class development tool—not as an experiment, but as part of daily engineering workflows.
· Practical experience with
Claude
and other leading LLMs, including prompt design, tool use, and structured outputs.
· Proven experience building or operating
agentic 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 of
IDE 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
· Extremely
self-directed —able to define next steps, unblock yourself, and make sound technical decisions without constant oversight.
· Excellent
written and verbal communication skills.
· Comfortable explaining complex AI concepts in
plain, concrete language
to senior stakeholders.
· Able to challenge assumptions respectfully and propose better alternatives when needed.
Nice to Have
· 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.
Required Qualifications
· Bachelor’s degree in Computer Science, Engineering, or a related technical discipline or
equivalent practical experience .
· Advanced degrees are welcome but
not required
if hands on experience is strong.
Professional Experience
·
8+ years
of professional software engineering experience, with direct ownership of production systems.
·
3+ years
working hands on with AI assisted development, LLM driven systems, or intelligent automation.
· Demonstrated experience operating in
senior or lead engineer capacity,
influencing design decisions beyond individual tasks.
AI & Copilot Expertise
· Proven, real world experience with the
Microsoft Copilot suite , including using Copilot as part of daily engineering and productivity workflows.
· Hands on experience with
GitHub Copilot
used systematically for design, coding, refactoring, testing, and documentation—not occasional usage.
· Practical experience working with
Claude
(and similar frontier models), including understanding strengths, limitations, and appropriate use cases.
Agentic Software Development
· Experience designing or implementing
agentic 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
· Ability to reason about reliability, failure modes, retries, and validation of autonomous behaviors.
Software Engineering Fundamentals
· Strong proficiency in at least one modern programming language (e.g.,
Python, TypeScript, C#).
· Solid grounding in software design principles, APIs, version control, testing practices, and deployment pipelines.
· Experience integrating AI components into
real enterprise systems,
not isolated prototypes.
Autonomy & Execution
· Demonstrated ability to work with
minimal direction , define technical paths forward, and make sound decisions independently.
· Track record of owning outcomes end to end: problem framing, implementation, delivery, and iteration.
Communication
· Excellent written and verbal communication skills.
· Ability to explain complex AI and engineering concepts
clearly and concretely
to diverse audiences, including senior leadership.
· Proven ability to document decisions, assumptions, and trade-offs succinctly.
Preferred / Additional Qualifications
· Experience with
Copilot extensibility , customization, plugins, or Copilot Studio.
· Familiarity with
Responsible AI, governance, security, or compliance considerations
in enterprise environments.
· Experience defining or scaling
AI assisted engineering standards
across teams.
· Background in architecture, platform engineering, or technical leadership roles. xywuqvp
· Prior experience mentoring senior to mid-level engineers or influencing organization wide engineering practices.