AI Engineer
Job Description
Transformativ, LLC is hiring an AI Engineer (contract) to design, build, and deploy production-ready enterprise AI systems spanning agentic AI, LLMs, and multi-agent orchestration.
Responsibilities
- Design and deploy production-ready Agentic AI and multi-agent systems
- Build enterprise AI applications in Python using platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar
- Develop AI workflows using orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
- Integrate AI solutions with REST APIs, databases, and enterprise systems such as Microsoft 365, ERP, and CRM
- Partner with business leaders to convert operational challenges into practical AI solutions
- Lead technical design discussions and mentor other engineers when appropriate
- Evaluate emerging AI technologies and recommend approaches that fit real production needs
Requirements
- Professional experience building production AI applications
- Strong Python development skills
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
- Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
- Experience integrating REST APIs, databases, and enterprise applications
- Excellent communication skills with client-facing consulting experience
- Ability to explain complex AI concepts to both technical and business audiences
Technologies
- Python; OpenAI; Anthropic; Google Gemini; Azure OpenAI
- LangGraph; CrewAI; AutoGen; MCP; Semantic Kernel
- Microsoft 365; ERP; CRM
- REST APIs; APIs; databases
- AWS; Google Cloud; Azure
- Machine Learning; Intelligent Automation; Autonomous multi-agent systems
Location
- Dallas-Fort Worth, TX (hybrid)
- Work location: Hybrid remote in McKinney, TX 75070
- Dallas, TX preferred; remote considered for exceptional candidates
Job Type & Compensation
- 1099 Independent Contractor with Contract-to-Hire Opportunity
- Pay range: $75.00–$100.00 per hour
- Compensation: Competitive hourly rate based on experience
Preferred Experience
- Experience with LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks
- Experience on cloud platforms including Azure, AWS, or Google Cloud
- Background in healthcare, manufacturing, supply chain, finance, procurement, or private equity
- Experience with AI governance, security, evaluation, and responsible AI practices
- Technical leadership or consulting experience
Why Join Transformativ
- Work on cutting-edge enterprise AI implementations
- Collaborate directly with executives and enterprise clients
- Opportunity for long-term leadership and growth
- Flexible, high-impact consulting environment