Sr AI Developer/Agentic AI Engineer

Accord Technologies Inc; Charlotte (NC); On-site; USD 85,000 - 115,000; Full time

Job summary

A leading technology firm is seeking a skilled Software Engineer to develop production-grade AI systems. Responsibilities include building scalable applications using Python, implementing asynchronous programming patterns, and designing RESTful APIs with FastAPI. The ideal candidate will have experience with LLM concepts, retrieval-augmented generation, and continuous integration/deployment practices. Join us in advancing AI solutions in a distributed environment.

Qualifications

• Strong proficiency in Python with experience in asynchronous programming.
• Hands-on experience with FastAPI or similar frameworks.
• Familiarity with distributed systems and debugging techniques.

Responsibilities

• Build scalable, production-grade AI systems using Python.
• Implement asynchronous programming patterns for high-performance systems.
• Build workflow orchestration pipelines for AI agents.

Skills

Python programming

Asynchronous programming

FastAPI

LLM concepts

Retrieval-Augmented Generation pipelines

Docker

CI/CD

Job description

Job Description

We are seeking a highly skilled Software Engineer with strong expertise in modern Python development and Large Language Model (LLM) ecosystems.

Title

AI developer/Agentic AI Engineer

Location

Charlotte, NC

Duration

12 months

Position Type

W2 contract

Core Responsibilities

This role focuses on building scalable, production‑grade AI systems, leveraging advanced API development, retrieval‑augmented generation (RAG), and agentic frameworks. You will work on cutting‑edge AI solutions, contributing to the design, development, and deployment of intelligent systems within a distributed enterprise environment.

Core Programming & Backend Development

• Develop robust, scalable applications using Python (intermediate to advanced level)
• Implement asynchronous programming patterns for high‑performance systems
• Design and build RESTful APIs using FastAPI
• Write clean, maintainable, production‑grade code
• Develop and execute unit and integration tests
• Debug and resolve issues in complex distributed systems

LLM Fundamentals & Prompt Engineering

• Design and optimize prompts for various LLM use cases
• Understand tokenization, context windows, and model limitations
• Select appropriate models based on performance and cost trade‑offs
• Mitigate hallucinations and ensure grounded, reliable responses

Retrieval‑Augmented Generation (RAG)

• Build and maintain document ingestion and preprocessing pipelines
• Implement chunking strategies (semantic, recursive, sliding window)
• Generate and manage embeddings
• Work with vector databases (e.g., pgvector)
• Design hybrid search systems combining keyword (BM25) and semantic search
• Optimize re‑ranking and relevance tuning mechanisms

Agentic Frameworks & Orchestration

• Design and implement multi‑agent systems
• Manage conversational and long‑term memory
• Build workflow orchestration pipelines for AI agents

Required Qualifications

• Strong proficiency in Python with experience in asynchronous programming
• Hands‑on experience with FastAPI or similar frameworks
• Experience building scalable backend systems
• Solid understanding of LLM concepts and prompt engineering
• Experience with RAG pipelines and vector databases (pgvector preferred)
• Familiarity with distributed systems and debugging techniques
• Experience with Docker and CI/CD pipelines