AI Agent Engineer

Akkodis; United States; Remote; USD 69,000 - 76,000; Part time

Job summary

Akkodis is seeking an AI Agent Engineer for a contract role with a client in New York (Remote). The ideal candidate will have a solid background in AI agents, Python, API integrations, LangChain, and RAG.

Responsibilities include designing and deploying production-ready AI agents, building agent workflows, integrating with enterprise data sources, and deploying RAG solutions. Strong Python backend experience and API know-how are required.

Qualifications

• 5+ years of backend software engineering experience with Python.
• Experience building AI agents using LangGraph/LangChain.
• Strong understanding of REST APIs and third‑party integrations.
• Experience with PostgreSQL or MongoDB databases.

Responsibilities

• Design, develop, and deploy production-ready AI agents using Python and agent orchestration frameworks.
• Build and manage agent workflows, state transitions, checkpoints, and conversational logic using LangGraph, LangChain, or similar frameworks.
• Develop backend services, REST APIs, and integrations to connect AI agents with enterprise applications and data sources.
• Implement and support Retrieval-Augmented Generation (RAG) solutions to improve agent knowledge retrieval and response accuracy.
• Work with relational and NoSQL databases, including PostgreSQL and MongoDB.
• Analyze AI agent conversations to identify incorrect responses, workflow failures, and opportunities for improvement.
• Implement observability, evaluation, and testing strategies to monitor agent performance and conversational quality.
• Develop automated test sets, evaluation frameworks, regression suites, and quality measurement processes.
• Collaborate with cross-functional teams to continuously improve agent behavior, accuracy, reliability, and customer experience.
• Leverage cloud-based AI services and infrastructure to support scalable agent deployments.

Tools

Python

LangChain

LangGraph

REST APIs

API integrations

RAG

PostgreSQL

MongoDB

Google ADK

Vertex AI

Job description

Akkodis is seeking an AI Agent Engineer role is a Contract with a client located in NewYork -(Remote). Ideally looking for applicants to have a solid background in AI agents, Python, API integrations, LangChain, RAG would come as a big plus.

PAY Range: $50-$55/hr., The Pay may be negotiable based on experience, education, geographic location, and other factors.

Key Responsibilities

• Design, develop, and deploy production-ready AI agents using Python and agent orchestration frameworks.
• Build and manage agent workflows, state transitions, checkpoints, and conversational logic using LangGraph, LangChain, or similar frameworks.
• Develop backend services, REST APIs, and integrations to connect AI agents with enterprise applications and data sources.
• Implement and support Retrieval-Augmented Generation (RAG) solutions to improve agent knowledge retrieval and response accuracy.
• Work with relational and NoSQL databases, including PostgreSQL and MongoDB.
• Analyze AI agent conversations to identify incorrect responses, workflow failures, and opportunities for improvement.
• Implement observability, evaluation, and testing strategies to monitor agent performance and conversational quality.
• Develop automated test sets, evaluation frameworks, regression suites, and quality measurement processes.
• Collaborate with cross-functional teams to continuously improve agent behavior, accuracy, reliability, and customer experience.
• Leverage cloud-based AI services and infrastructure to support scalable agent deployments.

Required Qualifications

• 5+ years of professional software engineering experience, primarily focused on backend development using Python.
• Strong hands-on Python programming and experience building production-grade applications and services.
• Demonstrated experience building AI agents using LangGraph, LangChain, Google ADK, or similar agent frameworks.
• Experience designing agent workflows, orchestration logic, state management, and multi-step conversational processes.
• Proven experience deploying AI agents into production environments, preferably customer-facing applications.
• Strong understanding of REST APIs, web services, and third‑party API integrations.
• Practical understanding of Retrieval-Augmented Generation (RAG), including embeddings, chunking, filtering, and retrieval.
• Experience working with PostgreSQL, MongoDB, or similar databases.
• Understanding of AI agent evaluation, observability, troubleshooting, and continuous quality improvement.
• Ability to evaluate both the technical performance and conversational quality of AI agents.

Preferred Qualifications / Nice to Have

• Hands‑on experience with LangGraph and LangSmith.
• Previous experience building and deploying customer‑facing or client‑facing AI agents.
• Experience implementing RAG pipelines and working with vector databases/vector stores.
• Exposure to Google Cloud Platform (GCP), Vertex AI, or other cloud‑based AI services.
• Familiarity with GCP Conversation Insights and Cresta.
• Experience developing automated evaluation frameworks, LLM-as-a-Judge implementations, and regression testing suites.
• Knowledge of conversational AI, dialogue management, and conversation design.

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 hiring to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

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