Position: Lead AI Engineer (Agentic AI GenAI LLMs)
Location: Dallas TX (Need Local and Day 1 Onsite)
Duration: Long-Term Contract
Were seeking an experienced Lead AI Engineer to drive our next-gen AI initiatives. Youll architect develop and deploy cutting-edge Agentic AI systems leveraging Generative AI and Large Language Models (LLMs).
Key Responsibilities:
- Lead the design and implementation of Agentic AI architectures and multi-agent systems using frameworks like .
- Develop and optimize Generative AI models and LLMs for diverse applications.
- Build and integrate SQL Agents to enable natural language interaction with databases.
- Drive the entire AI lifecycle from research and prototyping to production deployment using Python.
- Mentor a team of AI engineers and define technical roadmaps.
Required Skills:
- 10 years in AI/ML engineering with significant experience in a leadership role.
- Deep expertise in Agentic AI principles and frameworks (e.g. ).
- Proven experience with Generative AI models and LLMs (e.g. fine-tuning RAG).
- Strong proficiency in Python and relevant AI/ML libraries.
- Experience designing and implementing SQL Agents for natural language to SQL conversion.
- Solid understanding of MLOps cloud platforms and scalable AI solutions.
- Exceptional problem-solving architectural and communication skills.
Position: Lead AI Engineer (Agentic AI GenAI LLMs) Location: Dallas TX (Need Local and Day 1 Onsite) Duration: Long-Term Contract Were seeking an experienced Lead AI Engineer to drive our next-gen AI initiatives. Youll architect develop and deploy cutting-edge Agentic AI systems leveragi...
Position: Lead AI Engineer (Agentic AI GenAI LLMs)
Location: Dallas TX (Need Local and Day 1 Onsite)
Duration: Long-Term Contract
Were seeking an experienced Lead AI Engineer to drive our next-gen AI initiatives. Youll architect develop and deploy cutting-edge Agentic AI systems leveraging Generative AI and Large Language Models (LLMs).
Key Responsibilities:
- Lead the design and implementation of Agentic AI architectures and multi-agent systems using frameworks like .
- Develop and optimize Generative AI models and LLMs for diverse applications.
- Build and integrate SQL Agents to enable natural language interaction with databases.
- Drive the entire AI lifecycle from research and prototyping to production deployment using Python.
- Mentor a team of AI engineers and define technical roadmaps.
Required Skills:
- 10 years in AI/ML engineering with significant experience in a leadership role.
- Deep expertise in Agentic AI principles and frameworks (e.g. ).
- Proven experience with Generative AI models and LLMs (e.g. fine-tuning RAG).
- Strong proficiency in Python and relevant AI/ML libraries.
- Experience designing and implementing SQL Agents for natural language to SQL conversion.
- Solid understanding of MLOps cloud platforms and scalable AI solutions.
- Exceptional problem-solving architectural and communication skills.
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