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Senior AIML Engineer

Raas Infotek LLCTexas City, TX🇺🇸United StatesPosted Oct 8, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Texas City, TX, United States
Posted
15 hours ago
DockerMicroservicesSQLAWSMLOpsMLflowMachine LearningNLPNumPyScikit-learnSnowflakeAzureDatabricksDeep LearningGenerative AIGoogle CloudHugging FaceKubernetesLLMPandasPyTorchPythonRESTTensorFlow

Job Description

Senior AI/ML Engineer

Experience: 12+ Years
Job Type: W2 Contract

Job Summary

We are seeking a highly experienced Senior AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, deploying, and optimizing AI/ML solutions. The ideal candidate should have hands-on experience with Machine Learning, Generative AI, LLMs, NLP, Python, cloud platforms, and MLOps.

Key Responsibilities

  • Design and develop scalable AI/ML models and solutions for enterprise applications.

  • Develop and deploy Generative AI, LLM, NLP, and predictive analytics solutions.

  • Build RAG pipelines, AI agents, embeddings, vector search, and prompt engineering solutions.

  • Work with frameworks such as LangChain, LangGraph, LlamaIndex, PyTorch, TensorFlow, and Hugging Face.

  • Develop and optimize machine learning models using Python, Pandas, NumPy, and Scikit-learn.

  • Integrate AI/ML solutions with AWS, Azure, or Google Cloud Platform services.

  • Implement MLOps pipelines for model training, deployment, monitoring, and lifecycle management.

  • Work with Docker, Kubernetes, CI/CD, APIs, and microservices.

  • Collaborate with data engineers, software developers, architects, and business teams.

  • Perform model evaluation, tuning, monitoring, and performance optimization.

  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.

Required Skills

  • 12+ years of overall IT experience with strong AI/ML experience.

  • Strong Python programming skills.

  • Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI.

  • Experience with LLMs, RAG, embeddings, vector databases, and AI agents.

  • Experience with LangChain / LangGraph / LlamaIndex.

  • Strong knowledge of PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.

  • Experience with AWS / Azure / Google Cloud Platform AI/ML services.

  • Knowledge of MLOps, MLflow, Docker, Kubernetes, and CI/CD.

  • Strong experience with REST APIs, microservices, SQL, and data pipelines.

  • Excellent communication, analytical, and problem-solving skills.

Preferred Skills

  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or Claude.

  • Experience building multi-agent AI systems and agentic workflows.

  • Knowledge of FAISS, Pinecone, Weaviate, or other vector databases.

  • Experience with Spark, Databricks, Snowflake, or modern data platforms.

  • Experience leading AI/ML projects and mentoring junior engineers.

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