Generative AI Engineer

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Job Title: Generative AI Engineer

Location: Dallas, TX (Onsite 5 days/week)

Employment Type: Contract

Role Overview

We are seeking a skilled Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG pipelines, and agentic AI systems. The ideal candidate will have hands-on experience with modern GenAI frameworks, cloud platforms, and strong software engineering fundamentals.

Key Responsibilities

• Design and develop Generative AI applications using LLMs (OpenAI, Gemini, Claude, Llama, etc.)
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data
• Develop AI agents / agentic systems for autonomous workflows and decision-making
• Implement prompt engineering, embeddings, and vector search solutions
• Build scalable APIs and microservices for AI-powered applications
• Integrate AI models with enterprise systems (databases, APIs, data lakes)
• Deploy solutions on AWS / Azure / Google Cloud Platform with CI/CD pipelines
• Implement LLMOps/MLOps practices including monitoring, evaluation, and versioning
• Ensure AI safety, governance, and hallucination mitigation
• Collaborate with stakeholders to translate business requirements into AI solutions
  
  

Required Skills

• Strong programming experience in Python (mandatory)
• Hands-on experience with:
• LangChain / LlamaIndex / Agent frameworks
• Vector DBs (Pinecone, FAISS, Weaviate, ChromaDB)
• RAG & embeddings
• Knowledge of LLMs, NLP, and transformer models
• Experience with Docker, APIs, and microservices architecture
• Cloud experience: AWS / Azure / Google Cloud Platform
• Understanding of MLOps / LLMOps (CI/CD, monitoring, evaluation)
  
  

Preferred Qualifications

• Experience building production-grade GenAI or agentic systems
• Knowledge of GraphRAG, knowledge graphs, ontology extraction
• Exposure to Databricks / MLflow / Spark
• Experience in fine-tuning LLMs or model optimization
  
  

Education

• Bachelor's or Master's degree in Computer Science, AI, ML, or related field
  
  

Mandatory / Preferred Certifications (AI-Focused)

Include at least 1 2 of the following:

• Google Cloud Professional Machine Learning Engineer
• Microsoft Azure AI Engineer Associate
• AWS Machine Learning Specialty
• Databricks Generative AI Engineer Certification
• NVIDIA Deep Learning Institute (DLI) Certifications
• OpenAI / LLM / Prompt Engineering certifications (any recognized program)
  
  

(Certifications significantly strengthen candidacy for enterprise AI roles.)

Experience

• 5 years in software engineering / AI/ML
• 2 years in Generative AI / LLM-based solutions
  
  

Nice to Have

• Experience with agentic AI / multi-agent systems
• Strong understanding of AI governance & responsible AI
• Prior experience working in onsite enterprise environments