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Sr GenAI Engineer (In-person Interview is required in Dallas, TX)
Sr GenAI Engineer (In-person Interview is required in Dallas, TX)Saransh Inc • Dallas, TX, United States
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Sr GenAI Engineer (In-person Interview is required in Dallas, TX)

Sr GenAI Engineer (In-person Interview is required in Dallas, TX)

Saransh Inc • Dallas, TX, United States
9 days ago
Job type
  • Full-time
  • Quick Apply
Job 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.
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    Genai Engineer • Dallas, TX, United States

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