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Langchain Developer Jobs in Atlanta, GA (NOW HIRING)

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.

CapTech Consulting

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Professional programming experience with at least one of the following: * Java * C# * .NET * Strong ... Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI frameworks

CapTech Consulting

Python Developer

Atlanta, GA

$48.25 - $66.50/hr

Professional programming experience with at least one of the following: * Java * C# * .NET * Strong ... Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI frameworks

Keybank

Lead AI Engineer

Atlanta, GA · On-site

$96K - $181K/yr

Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to ... Establish engineering best practices for AI solution development, testing, deployment, and ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI ... LangChain, LangGraph, CrewAI, or similar * Vector Databases: Familiarity with vector stores ...

CYNET SYSTEMS

AI Java Full Stack Lead

Atlanta, GA · On-site

$70 - $75/hr

Expertise in Generative AI, LLMs, Prompt Engineering, RAG, and AI Agents. * Experience with Azure OpenAI, OpenAI APIs, LangChain, or similar AI frameworks. * Strong knowledge of SQL/NoSQL databases.

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Design AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, or similar AI orchestration platforms. * Engineer prompts and contextual workflows to improve LLM response ...

Wise Skulls

Senior Agentic AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... like langchain, Semantic Kernel, AutoGen • Prompt engineering and prompt optimization • Worked in RAG systems and with Vector databases • Good to have - understanding of guardrails ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

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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Langchain Developer information

See Atlanta, GA salary details

$16

$50

$78

How much do langchain developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for langchain developer in Atlanta, GA is $50.81, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $62.16 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 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 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 most commonly searched types of Langchain Developer jobs in Atlanta, GA?

The most popular types of Langchain Developer jobs in Atlanta, GA are:

What are popular job titles related to Langchain Developer jobs in Atlanta, GA?

For Langchain Developer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Langchain Developer jobs in Atlanta, GA look for?

The top searched job categories for Langchain Developer jobs in Atlanta, GA are:

Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,691 per year, or $50.8 per hour.

AI Engineer : Alpharetta, Georgia (Only Local)

Marvel Technologies Inc

Alpharetta, GA • On-site

Contractor

Re-posted 17 days ago

Job description

Only Local to GA consultants apply
 

Job Title: AI Engineer
Location: Alpharetta, Georgia (Only Local)
 
Job Description:
Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.