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GenAI Developer at Weekday AI

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

2100000.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, Docker, Kubernetes, LLMs, Prompt Engineering, Microservices, MLOps, Agent Frameworks, Vector Databases, SageMaker, Lambda, API Gateway, EC2, S3, Bedrock

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 1200000 - Rs 2100000 (ie INR 12-21 LPA) Min Experience: 6 years Location: Jaipur, Bhopal, Pune, Gurgaon, Bangalore, Chennai JobType: Contract - Onsite Opportunity We’re looking for a GenAI Developer to design, develop, and deploy advanced Generative AI solutions leveraging modern AI frameworks and AWS services. This role involves building and fine-tuning large language models (LLMs), developing intelligent AI agents, and implementing scalable, secure, and high-performance GenAI architectures for enterprise use cases. Key Responsibilities Design, develop, and deploy Generative AI solutions using modern AI frameworks and AWS cloud services. Build, fine-tune, and optimize LLMs tailored for enterprise applications. Develop and integrate AI agents using Python and agent-based AI frameworks. Implement end-to-end GenAI pipelines leveraging AWS Bedrock, SageMaker, Lambda, and API Gateway. Lead proof-of-concept (POC) initiatives and scale production-grade GenAI systems. Ensure performance, scalability, and security of AI-driven applications. Required Skills Programming: Python Cloud & AI Services: AWS (Bedrock, SageMaker, EC2, Lambda, S3) AI & ML Tools: Agent frameworks, LLMs, Prompt Engineering Databases: Vector Databases (Pinecone, FAISS, Weaviate) Architecture & Infrastructure: Microservices, Docker, Kubernetes, MLOps Core Skills Python | AWS | Docker | Kubernetes

Responsibilities

The GenAI Developer will design, develop, and deploy advanced Generative AI solutions using modern AI frameworks and AWS services. This includes building and fine-tuning large language models and implementing scalable GenAI architectures for enterprise applications.