AI Python Engineer
Role: AI Python EngineerLocation: Phoenix, AZ (3 days office)Duration: Long Term ContractKey Skills: AI/Gen AI, Python, LangChain, LangGraph, or GenAI programming, LLMs, RAG, implementing Gen AI, Prompt EngineeringJob Description:Looking for a Senior Engineer – Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Agentic AI, Generative AI, and AI system development—someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes.Key ResponsibilitiesBuild and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks.Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications.Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics.Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation.Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools.Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions.Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI.Minimum QualificationsBachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related field.10+ years of experience designing and implementing large scale engineering solutions and AI/ML systems.Hands-on experience developing AI/ML, GenAI, or data-driven applications.Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools.Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development.Experience with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools.Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices.Ability to understand business needs, solve technical problems, and collaborate effectively across teams.Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi.Hands-on experience or working knowledge of the following tools, frameworks, and technologies:Languages: PythonFrameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learnAI & GenAI: LangChain, Hugging Face, AutoGenMLOps & Orchestration: Kubeflow, Argo Workflows, MLflow, Triton Inference ServerData Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, MilvusCloud & Containers: AWS, Azure, GCP, Kubernetes, DockerObservability: Prometheus, Elasticsearch, KibanaCI/CD: Jenkins, GitLab CI, XL Release