Technology Lead | OpenSystem | Python - OpenSystem

Job-ID29034925Reference26-08086Description: Job title: AI Engineer (CAN submit Visa dependent profiles)Work Location: Denver(CO)Vendor Rate: *** USDMinimum years of experience: 8 TO 10Would you require the candidates to meet you for in person interview? NOIs Skype/WebEx interview,OK? OKIs this onsite/remote position: ONSITEIf onsite, will you be considering relocation candidates: YesDoes this position require Visa independent candidates only? NoJob Description:Role OverviewWe are looking for a Senior AI / GenAI Engineer with strong experience in production-grade ML systems, Generative AI (LLMs, RAG, Agents), and enterprise automation. The ideal candidate will have hands-on expertise in deploying scalable AI systems, ensuring reliability, monitoring, and governance, and working across domains such as healthcare or enterprise IT operations.Key Responsibilities1. GenAI & LLM EngineeringDesign and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similarDevelop multi-agent systems (LangChain, LangGraph, CrewAI, Autogen)Optimize prompts, retrieval strategies, and model performance for production use2. ML Engineering & Data ScienceBuild and deploy ML models across:Classification, Regression, NLP, Time-series, and Anomaly DetectionPerform EDA, feature engineering, and experiment designImplement A/B testing frameworks and performance evaluation pipelines3. MLOps & ProductionizationImplement end-to-end ML lifecycle:Model training, testing, deployment, monitoring, and rollbackUse tools like MLflow, CI/CD pipelines (GitHub Actions/Azure DevOps)Ensure model versioning, reproducibility, and governanceManage online & batch inference systems4. Observability & ReliabilityBuild monitoring systems for:Model driftPerformance degradationHallucination detection in LLMsDefine incident response and rollback strategiesMaintain dashboards and alerting frameworks5. AI Safety & ComplianceImplement AI guardrails:PII/PHI detectionContent filteringPrompt injection defenseEnsure compliance with regulatory standards (e.g., HIPAA)6. Cloud & InfrastructureDeploy solutions on AWS, GCP, or AzureAWS Bedrock, SageMakerGCP Vertex AIAzure OpenAI / AI FoundryBuild scalable infra using Docker, Kubernetes, Terraform7. Enterprise Automation (RPA Integration)Design and support RPA workflows using Automation Anywhere / UiPathIntegrate AI/ML models into automation pipelinesManage bot lifecycle, orchestration, and governance8. Collaboration & LeadershipWork with product, data, and engineering teams to deliver scalable solutionsMentor junior engineers and review technical designsCreate documentation (PDDs, SDDs, architecture designs)Required SkillsCore Technical SkillsStrong Python development (FastAPI, ML libraries)ML frameworks: PyTorch / TensorFlow / Scikit-learnGenAI stack: OpenAI, Claude, LLaMA, Hugging FaceRAG systems and vector databases (Pinecone, FAISS, etc.)MLOps & SystemsMLflow, model registry, CI/CD pipelinesExperiment tracking and automated testingDeployment patterns (batch + real-time inference)Data & APIsSQL, REST/SOAP APIsExperience with enterprise systems (SAP, Salesforce, etc. is a plus)Nice to HaveHealthcare domain experience (HIPAA compliance, clinical or claims data)Experience with agentic workflows & human-in-the-loop systemsHands-on experience in cost optimization for LLM workloadsRPA certifications (Automation Anywhere / UiPath)Custom Fields: Name: Intake Call CompletedValue: trueName: Intake Call RequestedValue: true