Senior AI​/GenAI Engineer

Senior AI / GenAI Engineer

Work Location:

Denver(CO)

Minimum years of experience: 8 TO 10

Is Skype/Web Ex interview, OK? OK

Is this onsite/remote position: ONSITE

If onsite, will you be considering relocation candidates:
Yes

Does this position require Visa independent candidates only? No

Role Overview:
We 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.

• GenAI & LLM Engineering
• Design and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)
• Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similar
• Develop multi-agent systems (Lang Chain, Lang Graph, CrewAI, Autogen)
• Optimize prompts, retrieval strategies, and model performance for production use
• ML Engineering & Data Science
• Build and deploy ML models across:
  Classification, Regression, NLP, Time-series, and Anomaly Detection
• Perform EDA, feature engineering, and experiment design
• Implement A/B testing frameworks and performance evaluation pipelines
• MLOps & Productionization
• Implement end-to-end ML lifecycle:
  Model training, testing, deployment, monitoring, and rollback
• Use tools like MLflow, CI/CD pipelines (Git Hub Actions/Azure Dev Ops)
• Ensure model versioning, reproducibility, and governance
• Manage online & batch inference systems
• Observability & Reliability
• Build monitoring systems for:
  Model drift
• Performance degradation
• Hallucination detection in LLMs
• Define incident response and rollback strategies
• Maintain dashboards and alerting frameworks
• AI Safety & Compliance
• Implement AI guardrails: PII/PHI detection
• Content filtering
• Prompt injection defense
• Ensure compliance with regulatory standards (e.g., HIPAA)
• Cloud & Infrastructure
• Deploy solutions on AWS, GCP, or Azure
• AWS Bedrock, Sage Maker GCP Vertex AI Azure OpenAI / AI Foundry
• Build scalable infra using Docker, Kubernetes, Terraform
• Enterprise Automation (RPA Integration)
• Design and support RPA workflows using Automation Anywhere / Ui Path
• Integrate AI/ML models into automation pipelines
• Manage bot lifecycle, orchestration, and governance

Core Technical Skills

• Strong Python development (FastAPI, ML libraries)
• ML frameworks:
  PyTorch / Tensor Flow / Scikit-learn
• GenAI stack:
  OpenAI, Claude, LLaMA, Hugging Face
• RAG systems and vector databases (Pinecone, FAISS, etc.)
• MLOps & Systems MLflow, model registry, CI/CD pipelines
• Experiment tracking and automated testing
• Deployment patterns (batch + real-time inference)
• Data & APIs SQL, REST/SOAP APIs
• Experience with enterprise systems (SAP, Salesforce, etc. is a plus)

Nice to Have

• Healthcare domain experience (HIPAA compliance, clinical or claims data)
• Experience with agentic workflows & human-in-the-loop systems
• Hands-on experience in cost optimization for LLM workloads
• RPA certifications (Automation Anywhere / UiPath)