Offer summary

Qualifications:

5+ years of experience in AI-driven chatbot development., Proven experience in LLM-based projects with large-scale implementations., Expertise in text-to-SQL conversion and database integration., Strong programming skills in Python, SQL, and AWS SDKs..

Key responsabilities:

Design, develop, and deploy AI-powered chatbots integrated with databases.

Implement Large Language Models (LLMs) for chatbot interactions.

Convert text-based queries into SQL for data retrieval and structured response generation.

Collaborate with cross-functional teams to develop AI-driven solutions.

Quantum Strides is an IBM Sustainability Software Business Partner specializing in solutions for Real Estate & Asset management, Capital Projects, Space & Move management, Operations & Maintenance and Sustainability. We are innovators and problem-solvers at heart. Using technology to tackle complex challenges and to deliver efficiencies for our customers is the bedrock of our culture and what we do best.Headquartered in the Washington DC metro area and consisting of a highly skilled workforce in the United States, we are a reliable partner for several Fortune 500 customers and Government entities. Additionally, our state-of-the-art development and test teams in India and talent pool in Canada, places us in a unique position to serve our clients across diverse geographical regions.Quantum Strides is considered an IBM TRIRIGA expert and has nearly a decade of experience in implementing, upgrading, and supporting the IBM TRIRIGA Application & Platform. Furthermore, we provide a highly skilled Maximo workforce to support IBM Maximo implementations and upgrades. Additionally, as an IBM Envizi partner, we help organizations with scope 1, 2 and 3 ESG reporting. Quantum Strides is also a ServiceNow (SNOW) partner specializing in IT Service Management (ITSM), IT Asset Management (ITAM) and has expertise in integrating SNOW to IBM technologies to provide customers with the best of both worlds.

Job description

Job Description

Position: AI Chatbot Engineer

Job Summary:
We are looking for an experienced AI Chatbot Engineer with expertise in Large Language Models (LLM), SQL-based chatbot functionalities, and AWS AI infrastructure. The ideal candidate should have hands-on experience in developing and integrating AI-powered chatbot solutions, working with structured/unstructured data, and implementing text-to-SQL conversion processes.

Key Focus Areas:

AI chatbot development experience.
Large Language Model (LLM) expertise.
SQL-based chatbot functionalities and text-to-SQL conversion.
AWS AI infrastructure knowledge (Amazon Lex, AWS Lambda, AWS Kendra, AWS Bedrock).

Key Responsibilities:

Design, develop, and deploy AI-powered chatbots integrated with databases.
Implement Large Language Models (LLMs) for chatbot interactions.
Convert text-based queries into SQL for data retrieval and structured response generation.
Work with AWS AI services, including Amazon Lex, AWS Lambda, AWS Kendra, and AWS Bedrock.
Ensure seamless integration of chatbot models with structured and unstructured data sources.
Optimize chatbot performance, user interactions, and response accuracy.
Collaborate with cross-functional teams to develop AI-driven solutions.

Required Skills & Qualifications:

5+ years of experience in AI-driven chatbot development.
Proven experience in LLM-based projects (at least one or two large-scale implementations).
Expertise in text-to-SQL conversion and database integration.
Strong programming skills in Python, SQL, and AWS SDKs.
Hands-on experience with Amazon Lex, AWS Lambda (must-have) and AWS Kendra, AWS Bedrock (good-to-have).
Ability to understand and design AI-powered chatbot architectures.
Strong analytical and problem-solving skills.

Screening Process:

Candidates must submit a detailed chatbot project summary before the interview.
Must have hands-on experience with 5+ chatbot/ML projects.
Screening will focus on chatbot + ML experience and AWS AI expertise.

Required profile