Python Full Stack Gen AI Lead/Architect

Key Responsibilities
Design, develop, and enhance AI Assistant capabilities, including conversational AI, chatbot solutions, and workflow automation
Build and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks
Design and implement Retrieval-Augmented Generation (RAG) pipelines to improve response quality, knowledge retrieval, and contextual accuracy
Develop and optimize multi-turn conversational experiences with advanced grounding and context-management logic
Design and implement agentic AI solutions utilizing multi-agent architectures and orchestration frameworks
Integrate vector databases and semantic search technologies to support enterprise knowledge retrieval and AI-powered experiences
Develop and maintain APIs and backend services supporting AI applications and integrations
Collaborate closely with Product Managers, Software Engineers, Architects, and Business Stakeholders to define and deliver AI-driven solutions
Implement observability, monitoring, evaluation, and performance measurement frameworks for AI systems
Optimize prompt engineering strategies and evaluate model performance using industry-standard evaluation methodologies
Support deployment, monitoring, troubleshooting, and continuous improvement of AI applications in cloud environments
Contribute to architecture decisions, technical design reviews, and AI solution best practices
Document AI workflows, solution architectures, integration patterns, and technical specifications
Stay current with emerging AI technologies, LLM advancements, and industry best practices

Required Qualifications
12+ years of experience
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field
AWS Certified Developer Associate
AWS Certified Solutions Architect Associate
AWS Certified Machine Learning Engineer
AWS Machine Learning Specialty
Microsoft Azure AI Engineer Associate
Google Professional Machine Learning Engineer
Generative AI or Large Language Model certifications

Skills
Python Development
Large Language Models (LLMs)
Generative AI (GenAI)
Retrieval-Augmented Generation (RAG)
RAGAS
Vector Databases
Multi-Agent Systems
GenAI Frameworks (LangChain, LlamaIndex, Semantic Kernel)
REST API Development
AWS Cloud Services
AI Observability and Monitoring
Angular
Front-End Development
Chatbot Development
Workflow Automation
Knowledge Management Systems
MLOps
CI/CD
Cloud-Native Architecture
Enterprise AI Platforms
Conversational AI Development
Prompt Engineering
AI Model Evaluation
Solution Architecture
Technical Documentation
Stakeholder Management
Agile Delivery
AI Governance and Responsible AI
Troubleshooting and Debugging

Schedule
Start date: 2026-09-21