Gen AI Developer

1. 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.

2. 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.

3. 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.

4. Collaboration & Documentation

• Collaborate with cross-functional teams including data scientists, DevOps, and product managers.

• Document architecture, design decisions, and operational procedures.

Do you have experience in Machine learning libraries?, Do you have a Bachelor's degree?, Must Have Technical/Functional Skills 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. Roles & Responsibilities, Technical Skills:

• 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.

Soft Skills:

• Strong analytical and proble m-solving skills.

• Excellent communication and collaboration abilities.

• Ability to work in a fast-paced, agile environment., Qualifications : BACHELOR OF COMPUTER SCIENCE

Pulled from the full job description

• Pet insurance
• Health insurance
• Vision insurance
• Dental insurance
• Commuter assistance, Salary Range $140,000-$150,000 years TCS Employee Benefits Summary: 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.