

Saransh Inc
Sr GenAI Engineer (In-person Interview Is Required in Dallas, TX)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr GenAI Engineer in Dallas, TX, on a contract basis. Requires 8+ years in software engineering, 3-4 years in LangGraph, expertise in Python, and knowledge of LLM orchestration. In-person interview mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Python #Deployment #Scala #Automation #Databases #Programming #HBase #Langchain #Debugging #Visualization #AI (Artificial Intelligence) #NLP (Natural Language Processing)
Role description
Role: Sr GenAI Engineer
Location: Dallas, TX (3 days a week onsite is required) - Locals would be highly preferred as In-Person Interview is mandatory in Dallas, TX
Job Type: Contract
Required Skills
GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK (good to have).
Should we very well versed in deployment process too.
Job Summary
• We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph.
• This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation.
• You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Key Responsibilities
• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead the development of agentic systems that interact, reason, and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.
• Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Required Skills & Experience
• 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
• Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.
• Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
• Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
• Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
Role: Sr GenAI Engineer
Location: Dallas, TX (3 days a week onsite is required) - Locals would be highly preferred as In-Person Interview is mandatory in Dallas, TX
Job Type: Contract
Required Skills
GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK (good to have).
Should we very well versed in deployment process too.
Job Summary
• We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph.
• This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation.
• You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Key Responsibilities
• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead the development of agentic systems that interact, reason, and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.
• Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Required Skills & Experience
• 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
• Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.
• Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
• Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
• Proven ability to build production-grade agentic systems with high reliability and fault tolerance.






