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.
Lead Ai Engineer • India