What are the responsibilities and job description for the Senior Agentic AI Developer / Forward Deployed Engineer position at TECHNEPTUNE CONSULTING INC?
Role: Senior Agentic AI Developer / Forward Deployed Engineer
Location: Eden Prairie, MN, Chicago, IL (Onsite)
Duration: Contract
Job Description:
Need 13 years
Mandatory Skills RAG Pipeline, AgenticAI, Python, Azure
We are seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer to design, build, integrate, and operationalize enterprise applications.
The engineer will work closely with business stakeholders, domain experts, product owners, architects, data engineers, quality engineers, and platform teams to translate business problems into secure, testable, and supportable solutions.
This is an embedded delivery role with end-to-end implementation ownership, covering discovery, technical design, application and data development, AI integration, evaluation, deployment, and operational readiness. The successful candidate must be equally comfortable implementing deterministic business rules and developing governed AI-assisted capabilities. This is not solely a prompt-engineering, model-research, or architecture-advisory position.
Recommended experience 6 years in software/data engineering, including 2 years delivering LLM-enabled applications or equivalent demonstrable experience
Location: Eden Prairie, MN, Chicago, IL (Onsite)
Duration: Contract
Job Description:
Need 13 years
Mandatory Skills RAG Pipeline, AgenticAI, Python, Azure
We are seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer to design, build, integrate, and operationalize enterprise applications.
The engineer will work closely with business stakeholders, domain experts, product owners, architects, data engineers, quality engineers, and platform teams to translate business problems into secure, testable, and supportable solutions.
This is an embedded delivery role with end-to-end implementation ownership, covering discovery, technical design, application and data development, AI integration, evaluation, deployment, and operational readiness. The successful candidate must be equally comfortable implementing deterministic business rules and developing governed AI-assisted capabilities. This is not solely a prompt-engineering, model-research, or architecture-advisory position.
Recommended experience 6 years in software/data engineering, including 2 years delivering LLM-enabled applications or equivalent demonstrable experience