Agentic AI Developer

Apolis; North Kingstown (RI); Hybrid; USD 83,000 - 124,000; Full time

Job summary

Apolis is seeking an Agentic AI Developer to advance AI and digital transformation initiatives, focusing on Microsoft Copilot, generative AI, agentic AI, workflow automation, and enterprise AI solutions.

You will work hybrid at Quonset Point, North Kingstown, RI, with a preference for 3 onsite days. The 6-month contract-to-hire role requires hands-on experience building AI-powered applications and integrating AI with enterprise systems.

Qualifications

• Hands-on experience building AI-powered applications with Copilot, GenAI, or enterprise AI platforms.
• Strong Python development experience.
• Experience with LLMs and AI solution design.
• Experience integrating AI with APIs, databases, and MS technologies.
• Prompt engineering and AI solution design experience.
• Excellent communication and problem-solving skills.
• Willingness to work onsite at Quonset Point, RI.

Responsibilities

• Collaborate with engineering, IT, and business teams to identify AI opportunities.
• Design, develop, test, and deploy AI-powered workflows and copilots.
• Monitor performance and continuously improve AI solutions.

Skills

Copilot AI

Python

LLMs

AI copilots

API & MS integration

Prompt engineering

Communication skills

Onsite RI

Tools

Agentic AI frameworks

Job description

Exclusive opening with our client for an Agentic AI Developer to support the client's growing AI and digital transformation initiatives focused on Microsoft Copilot, Generative AI, Agentic AI, workflow automation, and enterprise AI solutions.

Does not require sponsorship now or in future

Location: Quonset Point, North Kingstown, RI (Hybrid, preference for 3 days onsite)

Duration: 6 months contract-to-hire

Start: ASAP to Mid-October

This is not a traditional software developer role and not a generic AI enthusiast profile .
The team is specifically looking for candidates with hands-on experience developing AI-powered applications, copilots, AI agents, and workflow automation solutions . The ideal candidate will have experience building solutions using Microsoft Copilot technologies, Generative AI platforms, LLMs, Agentic AI frameworks, and Python .

Candidates should be able to discuss AI solutions they have personally developed, including how they leveraged LLMs, prompt engineering, retrieval-augmented generation (RAG), AI orchestration, autonomous workflows, or multi-step agent interactions to solve business problems.

What We're Looking For

This individual will work directly with engineering, manufacturing, IT, and business stakeholders to identify real-world opportunities to leverage AI for improved productivity, knowledge management, workflow automation, decision support, and operational efficiency.

The ideal candidate is someone who can take an AI use case from concept through deployment, including solution design, development, testing, integration, monitoring, and continuous improvement. Strong communication skills are critical, as this person will regularly engage with both technical and non-technical stakeholders.

Must-Have Skills

• Hands-on experience developing AI applications using Microsoft Copilot, Generative AI, or enterprise AI platforms
• Strong Python development experience
• Experience working with Large Language Models (LLMs)
• Experience building AI-powered assistants, copilots, automation solutions, or intelligent workflows
• Experience integrating AI solutions with APIs, enterprise systems, databases, and Microsoft technologies
• Prompt engineering and AI solution design experience
• Strong communication, analytical, and problem-solving skills
• Comfortable working onsite at Quonset Point and interacting with both office and operational teams

Highly Preferred

• Agentic AI development experience
• AI agents, autonomous workflows, orchestration frameworks, or multi-agent systems
• Retrieval-Augmented Generation (RAG)
• Microsoft AI technologies and Copilot ecosystem experience
• Codex CLI or other AI-assisted development tools
• Experience supporting enterprise-scale AI implementations
• Manufacturing, engineering, defense, shipyard operations, QA, pharmaceutical, public health, or other regulated environments.