Gen AI Developer

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

Key Responsibilities:

1. Solution Architecture & Design

• Design and architect GenAI solutions using Azure AI (Azure OpenAI, Azure ML) and/or AWS AI/ML services (Bedrock, Sage Maker, 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 Sage Maker Pipelines.
2. Development & Implementation

• Develop and fine-tune LLMs using frameworks like Hugging Face Transformers, Lang Chain, Semantic Kernel, or AWS Lang Chain SDK.

• Implement prompt engineering, retrieval-augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or Open Search.

• 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 Cloud Watch, 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, Dev Ops, and product managers.

• Document architecture, design decisions, and operational procedures.

• Provide mentorship and conduct code reviews for junior developers. Required Skills &

Qualifications:

Technical

Skills:

• Strong programming skills in Python, with experience in AI/ML libraries (e.g., PyTorch, Tensor Flow).

• Deep knowledge of Azure AI services (Azure OpenAI, Azure ML, Cognitive Services) and/or AWS AI/ML services (Bedrock, Sage Maker, Comprehend, Rekognition).

• Experience with cloud architecture, Dev Ops, and Infrastructure as Code (Terraform, AWS Cloud Formation).

• Familiarity with LLM orchestration frameworks:
Lang Chain, 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.

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. Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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