Lead Agentic AI engineer

Envision Technology Solutions; Dallas (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Envision Technology Solutions seeks a Lead Agentic AI engineer to design and build autonomous AI agents and LLM-based applications for enterprise use. The role emphasizes expertise in large language models, multi-agent architectures, RAG pipelines, Python, and cloud AI services.

The ideal candidate will deploy agents across dev, staging, and production environments, integrate with external systems, and guide enterprise AI integration with strong stakeholder communication.

Qualifications

• 4-6 years as Sr AI/ML Developer with 3+ agentic AI system implementations.
• 4-6 years with cloud AI services (Azure OpenAI, AWS Bedrock or Vertex AI).
• 4-6 years with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch).
• 4-6 years integrating LLMs with external systems and enterprise apps.
• Experience with vector databases and RAG pipelines; knowledge graphs welcome.
• Experience in deploying AI models and agents in dev/stage/prod environments.
• Strong communication for stakeholder alignment and risk management.

Responsibilities

• Develop, deploy, and orchestrate multi-agent AI systems.
• Fine-tune LLMs, design prompts, and optimize models.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Build autonomous business workflows and AI-driven processes.
• Leverage LangChain, LlamaIndex, and Hugging Face ecosystems.
• Ensure production readiness with AI tooling and monitoring.
• Collaborate with stakeholders to manage capabilities and timelines.

Skills

Python

LangChain

LlamaIndex

Transformers

PyTorch

LLM integration

RAG systems

Multi-agent architectures

AI model deployment

Prompt engineering

AI safety practices

Education

Bachelor's degree in Computer Science/AI/ML

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Pinecone

Weaviate

Chroma

Docker

Kubernetes

Postman

Git

Job description

Title: Lead Agentic AI engineer

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

Hire Type: Long Term Contract

Role summar

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

Experience & Skill

• 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 (LangChain, LlamaIndex, Transformers, PyTorch
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise application
• Experience working with vector databases, knowledge graphs, and RAG pipeline developmen
• 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

Technical Skills & Competenci

• Python, FastAPI, Fla
• LangChain, LlamaIndex, Transformers libra
• OpenAI API, Azure OpenAI, Anthropic Clau
• Vector databases (Pinecone, Weaviate, ChromaD
• Git, Docker, Kubernet
• JavaScript/TypeScript for AI integrati
• onPostman for API testi
• ngSQL/NoSQL databases for AI data manageme
• ntSound knowledge in cloud AI services and MLO
• psAI model performance monitoring and optimizati
• onPrompt engineering and AI safety practic

Responsibilit

• Proficient in developing, deploying, and orchestrating multi-agent AI syst
• Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimiz
• ionDemonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) syst
• emsDemonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven proces
• sesDemonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosys
• temDemonstrated proficiency with Python development and AI/ML librar
• iesDemonstrated proficiency in JavaScript/TypeScript for AI frontend integrat
• ionAbility to perform AI model performance tuning and optimization in production environme
• ntsFamiliarity with MLOps tools and practi
• cesExperience in building conversational AI interfaces, chatbots, and AI-powered applicati
• onsExperience with API development for AI services and webhook managem
• entExperience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud
• AI)Experience in AI agent orchestration, planning algorithms, and decision-making framewo
• rksCreating and maintaining vector databases and knowledge management syst
• emsExperience producing AI system architecture and technical design documentat
• ionMust have college degree in Computer Science, AI/ML, or equivalent experie