Lead Agentic AI engineer

Title: Lead Agentic AI engineer

Location: Dallas, TX, Atlanta, GA, Boston, MA, Chicago, IL (Hybrid)

Hire Type: Long Term Contract

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration. This individual will have broad experience in developing and deploying agentic AI solutions that can autonomously perform complex business tasks

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementation
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI
• 4-6 years hands-on experience with Python AI/ML frameworks (Lang Chain, Llama Index, Transformers, Py Torch
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise application
• Experience working with vector databases, knowledge graphs, and RAG pipeline develop men
• Advising on best practices for AI agent development and enterprise AI integration processe
• Experience in deploying AI models and agents in multiple environments (dev, staging, production
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting the

• Python, FastAPI, Fla
• Lang Chain, Llama Index, Transformers libra
• OpenAI API, Azure OpenAI, Anthropic Clau
• Vector databases (Pinecone, Weaviate, ChromaD
• Git, Docker, Kubernet
• JavaScript/Type Script for AI integrati
• on Postman for API testi
• ngSQL/No
  
  SQL databases for AI data manageme
• nt Sound knowledge in cloud AI services and MLO
• psAI model performance monitoring and optimizati
• on Prompt engineering and AI safety practic

• Proficient in developing, deploying, and orchestrating multi-agent AI syst
• Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimiz
• ion Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) syst
• ems Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven proces
• ses Demonstrated proficiency in using AI frameworks like Lang Chain, Llama Index, and Hugging Face ecosys
• tem Demonstrated proficiency with Python development and AI/ML librar
• ies Demonstrated proficiency in JavaScript/Type Script for AI frontend integrat
• ion Ability to perform AI model performance tuning and optimization in production environme
• nts Familiarity with MLOps tools and practi
• ces Experience in building conversational AI interfaces, chatbots, and AI-powered applicati
• ons Experience with API development for AI services and webhook managem
• ent Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud
• AI)
  Experience in AI agent orchestration, planning algorithms, and decision-making framewo
• rks Creating and maintaining vector databases and knowledge management syst
• ems Experience producing AI system architecture and technical design document at
• ionMust have college degree in Computer Science, AI/ML, or equivalent experie