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Langchain Developer Jobs in Georgia (NOW HIRING)

Intellectt INC

Agentic AI Engineer (Python)

Atlanta, GA · On-site

Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration. * Build AI ... Strong programming skills in Python and familiarity with AI/ML frameworks. * Proven experience ...

Learn Beyond Consulting LLC

AI Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Exposure to LLM-based applications, AI agents, prompt engineering, API integrations, and orchestration frameworks such as LangChain. Experience designing and supporting agent-based systems at scale ...

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

LangChain or LlamaIndex * SQL and NoSQL databases * REST APIs and FastAPI/Flask * Git and CI/CD * AWS, Azure, or Google Cloud * Docker and Kubernetes * Data preprocessing and feature engineering

CLPS Global

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions. * Docker, Kubernetes, Kafka, Redis. * OpenTelemetry, Grafana, Prometheus. * CI/CD (Jenkins, GitHub Actions), DevOps/GitOps.

WorkNovas LLC

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

AI/ML Quality Engineer Location: Alpharetta, GA (Onsite - 5 days a week) 8-10 years overall ... Must have hands-on with GenAI frameworks (LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc.

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi‑agent workflows. * Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.

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How much do langchain developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for langchain developer in Georgia is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $54.62 per hour, depending on experience, location, and employer.

What is a Langchain developer?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are some typical challenges faced by Langchain developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the key skills and qualifications needed to thrive as a Langchain developer?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

What are the most commonly searched types of Langchain Developer jobs in Georgia? The most popular types of Langchain Developer jobs in Georgia are:
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What cities in Georgia are hiring for Langchain Developer jobs? Cities in Georgia with the most Langchain Developer job openings:
Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in Georgia as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $92,802 per year, or $44.6 per hour.

Agentic AI Engineer (Python)

Intellectt INC

Atlanta, GA • On-site

Contractor

Re-posted 28 days ago

Job description

Hi

Hope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

  • Design and build agentic AI frameworks and intelligent workflows using LLMs.
  • Develop and integrate Python-based AI applications with internal systems and APIs.
  • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.
  • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.
  • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Optimize AI agents for scalability, performance, and accuracy in production environments.
  • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.

Required Skills & Experience:

  • Strong programming skills in Python and familiarity with AI/ML frameworks.
  • Proven experience developing LLM-driven or multi-agent AI systems.
  • Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.
  • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Nice to Have:

  • Experience in healthcare or insurance domain.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.
  • Exposure to MLOps or AI agent lifecycle management.