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...
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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