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Langchain Developer Jobs in Georgia (NOW HIRING)

Keybank

Lead AI Engineer

Atlanta, GA

$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 ...

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.

New

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.

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$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 ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

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

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 quality ...

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 ...

US Bank

Emerging Tech Engineer

Atlanta, GA · On-site

... developer productivity and accelerate AI adoption across U.S. Bank. You are a self-motivated ... Hands-on experience building and deploying GenAI and Agentic AI Applications using MCP, LangChain ...

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$14

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$69

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:
What are popular job titles related to Langchain Developer jobs in Georgia? For Langchain Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Langchain Developer jobs in Georgia look for? The top searched job categories for Langchain Developer jobs in Georgia are:
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.

AI Ops / DevOps Engineer

NTT DATA Americas, Inc

Sandy Springs, GA • On-site

$52.25 - $71.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA''s Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
  • Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
  • Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
  • Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
  • Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
  • Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
  • Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
  • Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
  • Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
  • Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
  • Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
  • Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
  • Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
  • Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.

Basic Qualifications
  • Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
  • Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
  • Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or Google Cloud Platform, with strong preference for AWS.
  • Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
  • Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
  • Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
  • Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
  • Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
  • Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
  • Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
  • Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
  • Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
  • Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
Preferred / Nice to Have
  • Experience building AI-assisted infrastructure provisioning workflows.
  • Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
  • Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
  • Experience implementing human-in-the-loop approval models for AI-generated operational actions.
  • Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
  • Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
  • Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
  • Soft Skills & Mindset
  • Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
  • Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
  • Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
  • Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
  • Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
  • Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
Travel
  • This position requires 3 days in office per the client/project requirement.
Degree
  • Bachelor''s degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour).  This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you''d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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