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Sr AI Developer/Agentic AI Engineer

Accord Technologies Inc • Charlotte, NC

Mid-Senior level Posted April 17, 2026 Job link

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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

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Requirements

Develop robust, scalable applications using Python (intermediate to advanced level)
Build workflow orchestration pipelines for AI agents
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

Title: AI developer/Agentic AI Engineer
Location: Charlotte, NC
Duration: 12 months
Position type: W2 contract
Job Description
We are seeking for highly skilled Software Engineer with strong expertise in modern Python development and Large Language Model (LLM) ecosystems.
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