Senior AI/ML Engineer

Job Title: Senior AI/ML Engineer

Job Location: Irving, TX

Job Type: Contract

Pay Range: $50.00hr - $55.00hr

Job Overview:

The organization is seeking a Senior AI/ML Engineer with 5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field. The candidate will possess strong hands-on expertise across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.

• Seeking a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.
• The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.

Key Responsibilities:

• Design and develop end-to-end Machine Learning and Deep Learning solutions.
• Build and productionize ML models using appropriate algorithms and frameworks.
• Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
• Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.
• Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration.
• Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.
• Deploy scalable AI solutions on AWS, Azure, or Google Cloud Platform.
• Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.
• Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture and technology strategy.

Core Technical Skills:

• Programming: Python, SQL.
• Machine Learning: Scikit-learn, XGBoost/LightGBM.
• Deep Learning: PyTorch / TensorFlow.
• GenAI: LLMs, Prompt Engineering, Embeddings, RAG.
• Agentic AI: LangGraph, LangChain or equivalent frameworks.
• Vector Search: OpenSearch, FAISS, Pinecone or equivalent.
• MLOps: MLflow, Docker, CI/CD, model deployment and monitoring.
• Cloud: AWS / Azure / Google Cloud Platform.
• APIs & Engineering: REST APIs, FastAPI, Git, containerization.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities