Saransh Inc
Sr GenAI Engineer (In-person Interview is required in Dallas, TX)
Saransh Inc, Dallas, Texas, United States, 75215
Sr GenAI Engineer
Location:
Dallas, TX (3 days a week onsite required, in-person interview mandatory).
Job Type:
Contract.
Role Summary:
We are looking for a highly experienced 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.
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 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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Dallas, TX (3 days a week onsite required, in-person interview mandatory).
Job Type:
Contract.
Role Summary:
We are looking for a highly experienced 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.
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 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.
#J-18808-Ljbffr