
Agentic AI Engineer
3 weeks ago
Agentic AI Engineer (Lead Role)
About the Role
We are looking for a highly skilled
AI Data Scientist / Engineer (Lead Role)
to drive the development of an AI-driven code generation system for Microsoft Dynamics (X++). This role will focus on
LLM engineering, benchmark design, and pipeline automation , ensuring that AI-generated code is both functional and production-ready.
Responsibilities
Lead the design and implementation of a
benchmark framework
for evaluating AI-generated code.
Build and refine
prompting strategies, context engineering, and agent orchestration .
Develop
automated pipelines
for compiling, testing, and scoring AI outputs.
Create
synthetic datasets
and fine-tune models for continuous improvement.
Collaborate with Dynamics engineers to ensure AI outputs align with business and coding standards.
Mentor junior engineers and guide technical decision-making.
Requirements
7+ years
of professional experience in
AI/ML, NLP, or data science , including hands-on ML model deployment.
3+ years
of experience working with
Large Language Models (LLMs)
(OpenAI, Anthropic, Azure OpenAI, or similar).
5+ years
of expertise in
Python , with a strong background in data pipelines, CI/CD, and orchestration frameworks.
3+ years
of experience applying
code quality checks
(linting, static analysis, maintainability metrics).
Proven track record of delivering
AI-powered developer tools or code generation systems .
Strong knowledge of
cloud environments (Azure preferred)
and security practices.
Nice-to-Haves
Familiarity with
Microsoft Dynamics 365 Finance & Operations / X++ ecosystem .
Experience with
MLOps frameworks
(MLflow, Kubeflow, or similar).
Prior work in
program synthesis, AI agents, or developer productivity AI tools .
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