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Langchain Developer Jobs in Atlanta, GA (NOW HIRING)

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and LLM, MCP (Model Context Protocol). We are seeking two GenAI Developers to join our AI Tools team, focused on ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... as LangChain • Integrate AI systems with APIs, backend services, and cloud platforms • ... including prompt engineering and orchestration • Proven experience with RAG architectures ...

AI Engineer

Atlanta, GA · On-site

$55 - $60/hr

Experience with AI orchestration frameworks such as LangChain or Semantic Kernel. * Proficiency in frontend development using Angular, TypeScript, HTML5, and CSS. * Knowledge of prompt engineering ...

Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across ...

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.

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.

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.

Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...

Showing results 21-40

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:

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/ML Engineer - Remote

YO AI Labs

Atlanta, GA • Remote

$200 - $350/hr

Full-time

Posted 10 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.