Artificial Intelligence Engineer

Akkodis; City of Rochester (NY); On-site; USD 68,000 - 97,000; Full time

Job summary

Akkodis is seeking a hands-on AI engineer in the United States to build, deploy, and continuously improve production-ready AI agents using Python and modern agent frameworks. This role is primarily engineering (70–80%) with a portion focused on prompting and conversation design, delivering production-grade solutions for real users.

You will work on agent workflows, API integrations, and RAG-based systems, ensuring robust monitoring, evaluation, and continuous improvement of AI quality.

Qualifications

• 5+ years of production backend Python development experience.
• Hands-on experience building AI agents.
• Experience with LangGraph, LangChain, Google ADK, or a comparable agent framework.
• Strong experience with APIs, web services, and system integrations.
• Understanding of RAG architectures and concepts, including retrieval, embeddings, chunking, filtering, and vector stores.
• Strong software engineering fundamentals and the ability to build production-quality solutions.
• Experience assessing and improving AI agent or conversational quality.
• Ability to balance technical engineering requirements with the quality of the end-user experience.

Responsibilities

• Design, build, and deploy production-ready AI agents using Python and modern agent frameworks.
• Develop agent workflows, checkpoints, relationships, and graphs that control how conversations and agent behaviors progress.
• Integrate AI agents with APIs, web services, databases, and enterprise systems.
• Build and support RAG-based solutions incorporating retrieval, embeddings, filtering, chunking, and vector stores.
• Monitor agent performance and analyze conversation quality to identify incorrect, ineffective, or poor-quality responses.
• Investigate why agent failures occur and make engineering changes to improve accuracy, reliability, and customer experience.
• Build automated test sets, evaluation methods, judges, and regression suites to continuously measure agent quality.
• Help deliver reliable, consumer-friendly AI experiences for real-world users.

Skills

Python backend

AI agents

Agent frameworks

APIs & integrations

RAG architectures

Software engineering

AI quality improvement

Production readiness

Tools

LangGraph

LangChain

Google ADK

Vertex AI

PostgreSQL

MongoDB

Job description

We’re looking for a hands‑on AI engineer to build, deploy, and continuously improve production‑ready AI agents. This role is heavily focused on software engineering, approximately 70–80% engineering and 20–30% prompting/conversation design, and is ideal for someone who has taken AI agents beyond experimentation and into real‑world production environments.

Pay rate: $60/hour . The rate may be negotiable based on experience, education, geographic location, and other factors

What You’ll Do

• Design, build, and deploy production-ready AI agents using Python and modern agent frameworks.
• Develop agent workflows, checkpoints, relationships, and graphs that control how conversations and agent behaviors progress.
• Integrate AI agents with APIs, web services, databases, and enterprise systems.
• Build and support RAG-based solutions incorporating retrieval, embeddings, filtering, chunking, and vector stores.
• Monitor agent performance and analyze conversation quality to identify incorrect, ineffective, or poor-quality responses.
• Investigate why agent failures occur and make engineering changes to improve accuracy, reliability, and customer experience.
• Build automated test sets, evaluation methods, judges, and regression suites to continuously measure agent quality.
• Help deliver reliable, consumer-friendly AI experiences for real-world users.

What We’re Looking For

• 5+ years of production backend Python development experience.
• Hands‑on experience building AI agents.
• Experience with LangGraph, LangChain, Google ADK, or a comparable agent framework, with LangGraph strongly preferred.
• Strong experience with APIs, web services, and system integrations.
• Understanding of RAG architectures and concepts, including retrieval, embeddings, chunking, filtering, and vector stores.
• Strong software engineering fundamentals and the ability to build production‑quality solutions.
• Experience assessing and improving AI agent or conversational quality.
• Ability to balance technical engineering requirements with the quality of the end‑user experience.

Strongly Preferred

• Experience deploying AI agents into production.
• Experience building customer‑facing or client‑facing production AI agents.
• LangGraph experience.
• GCP and Vertex AI experience.
• LangSmith or similar AI observability/evaluation tooling.
• Experience using observability and analytics to identify AI response‑quality issues and implement improvements.
• PostgreSQL and/or MongoDB experience.
• Experience with asynchronous Python development.

Nice to Have

• Vector database or vector store experience.
• Hands‑on experience building RAG pipelines.
• Deeper experience with embeddings, chunking, filtering, and retrieval.
• Experience with GCP Conversation Insights, Cresta, or similar conversation‑analysis platforms.
• Experience developing automated AI evaluation, testing, or regression frameworks.

The ideal candidate has personally built an AI agent using Python and an agent framework, integrated it with APIs and RAG, deployed it into production for real users, monitored its performance, identified quality issues, and made engineering changes to improve the experience.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client‑recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance

Los Angeles County Fair Chance Ordinance for Employers