Description

Job Description:-

Experience & Skills 

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
• Experience working with vector databases, knowledge graphs, and RAG pipeline development
• Advising on best practices for AI agent development and enterprise AI integration processes
• Experience in deploying AI models and agents in multiple environments (dev, staging, production)
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them

Technical Skills & Competencies

• Python, FastAPI, Flask
• LangChain, LlamaIndex, Transformers library
• OpenAI API, Azure OpenAI, Anthropic Claude
• Vector databases (Pinecone, Weaviate, ChromaDB)
• Git, Docker, Kubernetes
• JavaScript/TypeScript for AI integration
• Postman for API testing
• SQL/NoSQL databases for AI data management
• Sound knowledge in cloud AI services and MLOps
• AI model performance monitoring and optimization
• Prompt engineering and AI safety practices

Responsibilities

• Proficient in developing, deploying, and orchestrating multi-agent AI systems
• Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization
• Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems
• Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processes
• Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem
• Demonstrated proficiency with Python development and AI/ML libraries
• Demonstrated proficiency in JavaScript/TypeScript for AI frontend integration
• Ability to perform AI model performance tuning and optimization in production environments
• Familiarity with MLOps tools and practices
• Experience in building conversational AI interfaces, chatbots, and AI-powered applications
• Experience with API development for AI services and webhook management
• Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)
• Experience in AI agent orchestration, planning algorithms, and decision-making frameworks
• Creating and maintaining vector databases and knowledge management systems
• Experience producing AI system architecture and technical design documentation
• Must have college degree in Computer Science, AI/ML, or equivalent experience

Key Skills

Education

Any Graduate