AI/ Gen AI Engineer

Denver, CO, US • Posted 2 days ago • Updated 2 days ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon SageMaker
  • Artificial Intelligence
  • Autogen
  • Automated Testing
  • Continuous Delivery
  • Continuous Integration
  • Machine Learning Operations (ML Ops)
  • SQL
  • SOAP
  • SAP
  • Python
  • Real-time
  • PyTorch
  • Regression Analysis
  • Microsoft Azure
  • Machine Learning (ML)
  • Incident Management
  • Data Science
  • Data Analysis
  • Amazon Web Services
  • Health Care
  • HIPAA
  • Google Cloud Platform
  • GitHub
  • Generative Artificial Intelligence (AI)
  • Salesforce.com
  • Robotic Process Automation
  • Regulatory Compliance
  • Orchestration
  • Optimization
  • Workflow
  • DevOps
  • Docker
  • Good Clinical Practice

Summary

The following requirement is open with our client.

Client                                      : Infosys

Title                                        : AI/ Gen AI Engineer

Location                                : Denver, CO (Onsite)

Duration                               : 17 Months

Rate                                        : $60/hr on W2

 

Relevant Experience (in Yrs.): 10

 

Job Description:

We are looking for a highly experienced AI/ Gen AI Engineer

 

Job Responsibilities:

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 (LangChain, LangGraph, 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 (GitHub Actions/Azure DevOps)

·         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, Google Cloud Platform, or Azure

·         AWS Bedrock, SageMaker

·         Google Cloud Platform 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 / UiPath

·         Integrate AI/ML models into automation pipelines

·         Manage bot lifecycle, orchestration, and governance

Collaboration & Leadership

·         Work with product, data, and engineering teams to deliver scalable solutions

·         Mentor junior engineers and review technical designs

·         Create documentation (PDDs, SDDs, architecture designs)

Must Have Skills:

·         Strong Python development (FastAPI, ML libraries)

·         ML frameworks: PyTorch / TensorFlow / 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)

 

Thanks and Regards, 

Goutham Eluri

Senior Technical Recruiter 

ASCII Group LLC. 

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI  48335 

Office:

Email:  Website:  

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 9050010
  • Posted 2 days ago
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GE

Goutham Eluri

Recruiter @ ASCII Group LLC
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