Generative AI Engineer

TATA Consulting Services-posted about 1 month ago
$110,000 - $140,000/Yr
Full-time • Mid Level
Milwaukee, WI
5,001-10,000 employees
Professional, Scientific, and Technical Services
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

Looking for a highly skilled Generative AI Developer with deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure and/or AWS. The ideal candidate will have hands-on experience in production-grade AI/ML systems, a strong understanding of LLM architectures, and the ability to architect scalable, secure, and cost-effective GenAI solutions across both cloud platforms.

  • Solution Architecture & Design
  • Design and architect GenAI solutions using Azure AI (Azure OpenAI, Azure ML) and/or AWS AI/ML services (Bedrock, SageMaker, Comprehend, Lex).
  • Implement cloud-native architectures for LLM-based applications, including multi-cloud or hybrid deployments.
  • Define and manage MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines.
  • Development & Implementation
  • Develop and fine-tune LLMs using frameworks like Hugging Face Transformers, LangChain, Semantic Kernel, or AWS LangChain SDK.
  • Implement prompt engineering, retrieval-augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or OpenSearch.
  • Build APIs and microservices to expose GenAI capabilities using Azure Functions, AWS Lambda, or containerized services.
  • Production Deployment
  • Deploy GenAI models using Azure Kubernetes Service (AKS), Azure Container Apps, Amazon EKS, or Fargate.
  • Monitor and optimize model performance, latency, and cost in production environments using Azure Monitor, AWS CloudWatch, and custom telemetry.
  • Implement observability, logging, and alerting for AI workloads across both platforms.
  • Collaboration & Documentation
  • Collaborate with cross-functional teams including data scientists, DevOps, and product managers.
  • Document architecture, design decisions, and operational procedures.
  • Provide mentorship and conduct code reviews for junior developers.
  • Strong programming skills in Python, with experience in AI/ML libraries (e.g., PyTorch, TensorFlow).
  • Deep knowledge of Azure AI services (Azure OpenAI, Azure ML, Cognitive Services) and/or AWS AI/ML services (Bedrock, SageMaker, Comprehend, Rekognition).
  • Experience with cloud architecture, DevOps, and Infrastructure as Code (Terraform, AWS CloudFormation).
  • Familiarity with LLM orchestration frameworks: LangChain, Semantic Kernel, Prompt Flow.
  • Experience with vector databases: Azure AI Search, Amazon Open Search, Pinecone, FAISS.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, agile environment.
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Generative AI Engineer Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service