

Themesoft Inc.
Sr. Developer with LangGraph & Agentic AI Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Developer with LangGraph & Agentic AI experience in Irving, TX. It offers a long-term contract with a pay rate of "unknown." Requires 10+ years of experience, including 3+ years in Agentic AI, and proficiency in Python, JavaScript, AWS, and Docker.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Azure #Langchain #Lambda (AWS Lambda) #JSON (JavaScript Object Notation) #GIT #Docker #Monitoring #AWS IAM (AWS Identity and Access Management) #Logging #JavaScript #AWS (Amazon Web Services) #Cloud #IAM (Identity and Access Management) #Automation #Databases #REST (Representational State Transfer) #Python #Deployment #REST API #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #React
Role description
Job Title: Sr. Developer with LangGraph & Agentic AI Experience
Location: Irving, TX (3 days onsite a week)-Only locals
Duration: Long Term Contract
Experience: Overall – 10+ years and minimum 3 yrs of Agentic AI exp
Note: Looking only for W2 Candidadtes
Job Description:
Design, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.
Required Skills
• Python (automation, backend services).
• JavaScript (React/Node JS)
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
• REST APIS, JSON, Git.
Responsibilities
• Develop automation solutions using Python.
• Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.
• Integrate automations with enterprise systems via REST APIs and databases.
• Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
Azure OpenAI proficiency .
• Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards.
Thanks & Regards,
Vignesh
vignesh@themesoft.com
Job Title: Sr. Developer with LangGraph & Agentic AI Experience
Location: Irving, TX (3 days onsite a week)-Only locals
Duration: Long Term Contract
Experience: Overall – 10+ years and minimum 3 yrs of Agentic AI exp
Note: Looking only for W2 Candidadtes
Job Description:
Design, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.
Required Skills
• Python (automation, backend services).
• JavaScript (React/Node JS)
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
• REST APIS, JSON, Git.
Responsibilities
• Develop automation solutions using Python.
• Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.
• Integrate automations with enterprise systems via REST APIs and databases.
• Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
Azure OpenAI proficiency .
• Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards.
Thanks & Regards,
Vignesh
vignesh@themesoft.com






