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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative Artificial Intelligence - **Company:** CareerCircle - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Cluster Analysis, Cyber Security, Databases, Continuous Integration, Database Applications, Elasticsearch, Python (Programming Language), Machine Learning, NoSQL, Tensorflow, Prometheus, Software Construction, Software Deployment, Software Engineering, SQL Databases, Management of Software Versions, Google Cloud, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Gitlab, Fastapi, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Apache Kafka, Apache Nifi, Data Management, Machine Learning Operations, Virtual Agents, Kibana, Docker, Jenkins - **Published:** September 12, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/az/phoenix/128c1dc1-7f80-40f8-96f4-a3d98d5bc866 ## About the Role * Bachelor's degree in Computer Science, Engineering, Data Science, AI, or a related field. * 8+ 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. * Experinec 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: Python * Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn * AI & GenAI: LangChain, Hugging Face, AutoGen * MLOps & Orchestration: Kubeflow, Argo Workflows, MLflow, Triton Inference Server * Data Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, Milvus * Cloud & Containers: AWS, Azure, GCP, Kubernetes, Docker * Observability: Prometheus, Elasticsearch, Kibana * CI/CD: Jenkins, GitLab CI, XL Release Skills Python, Artificial intelligence, Test automation Top Skills Details Python,Artificial intelligence,Test automation Additional Skills & Qualifications excellent communication skills, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description CI/CD Gitlab Kibana MLflow CrewAI Jenkins FastAPI AutoGen Kubeflow LangChain Operations Governance Kubernetes TensorFlow Agentic AI Scalability Apache NiFi Data Science Apache Kafka Communication Observability Elasticsearch Security Risk Responsible AI Microsoft Azure Vector Database Computer Science Machine Learning Docker (Software) Anomaly Detection Business Valuation Prompt Engineering Workflow Management Amazon Web Services Software Versioning Software Engineering Predictive Analytics Flask (Web Framework) Prometheus (Software) Cloud-Native Computing Full Stack Development Application Deployment Information Governance Artificial Intelligence Application Development Business Transformation SQL (Programming Language) Hugging Face (NLP Framework) Python (Programming Language) Scikit-Learn (Python Package) Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API) Applications Of Artificial Intelligence, Sr. 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., * Build 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., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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