Lead Ai Engineer – Chatbot

2 weeks ago

Bengaluru, India CentricaSoft Full time

We are seeking an experienced and hands-on Chatbot Development Lead to spearhead the design, development, and deployment of advanced AI chatbot solutions. The ideal candidate will be proficient in natural language processing (NLP), text-to-SQL conversion, and leading full-stack development using Streamlit and ReactJS. The role requires strong expertise in AWS Bedrock, ECS deployment, and secure authentication integration using AWS SSO. This is a leadership position that involves both technical execution and mentoring a cross-functional development team. Key Responsibilities: - Lead end-to-end development of AI-powered chatbot solutions with Text-to-SQL capabilities. - Architect and implement intuitive custom UI using Streamlit for internal tools and ReactJS for production-facing applications. - Build and optimize NLP pipelines integrated with AWS Bedrock foundation models. - Manage containerized deployment using AWS ECS, including task definitions, load balancers, and autoscaling. - Integrate enterprise-grade security via AWS Single Sign-On (SSO). - Drive sprint planning, code reviews, and delivery milestones for the chatbot team. - Collaborate with product managers, data scientists, and DevOps engineers to ensure seamless delivery. - Stay updated on the latest in AI, LLM, and cloud technologies to drive innovation. Required Skills: - Strong hands-on experience in Python, Streamlit, ReactJS, and full-stack development. - Expertise in Text-to-SQL modeling, fine-tuning LLMs, and natural language interfaces. - Proficiency with AWS Bedrock and deploying generative AI applications on AWS. - Experience with Docker and ECS (Elastic Container Service) for scalable deployment. - Knowledge of IAM roles, security best practices, and AWS SSO integration. - Proven ability to lead and mentor a team, manage priorities, and deliver high-quality solutions. - Familiarity with CI/CD pipelines, logging/monitoring, and Git-based workflows. Preferred Qualifications: - Experience with vector databases and semantic search (e.G., OpenSearch, Pinecone). - Prior experience building internal developer tools or enterprise chat interfaces. - Understanding of RAG (Retrieval-Augmented Generation) and LangChain or similar frameworks. - AWS Certifications (e.G., AWS Certified Solutions Architect, Machine Learning Specialty) is a plus. What We Offer: - Opportunity to work with cutting-edge LLM and AI technologies. - Leadership role with autonomy and decision-making power. - Competitive compensation and benefits. - Exposure to full cloud-native deployment lifecycle on AWS.

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