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AI Engineer - Copilot & Agentic Development - Overall 10yrs

Syncreon Consulting
7 hours ago
Full-time
On-site
Deerfield Beach, Florida, United States
Company Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies

Job Description

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

Education

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.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

Qualifications

Additional Information

All your information will be kept confidential according to EEO guidelines.