Tech Lead-GenAI - VectorDBand PostgreSQL

HCL Technologies Limited; Mississauga; On-site; CAD 120,000 - 160,000; Full time

Job summary

HCL Technologies Limited in Mississauga, Ontario, is seeking a Tech Lead GenAI to lead design and implementation of LLM-based solutions. You will work with Python, RESTful APIs, and embedding workflows to build robust AI-powered applications.

Responsibilities include developing REST APIs with Flask/Django/FastAPI, managing data storage with PostgreSQL, MySQL and VectorDBs, and utilizing Pinecone and Azure AI Search for semantic retrieval.

Qualifications

• Experience with GenAI and LLM-based solutions.
• Strong Python and REST API development skills.
• Experience with relational and vector databases.

Responsibilities

• Design and implement GenAI modules with embedding workflows.
• Develop RESTful APIs to connect AI models and apps.
• Manage data storage using PostgreSQL/MySQL and VectorDBs.
• Leverage Pinecone and Azure AI Search for semantic retrieval.
• Participate in architecture reviews and risk assessments.
• Ensure process compliance and status reporting.

Skills

GenAI

Prompt engineering

LLMs

Python

RESTful APIs

PostgreSQL

MySQL

VectorDB

Embedding

Azure AI Search

Documentation

Tools

Flask

Django

FastAPI

Job description

Tech Lead-GenAI - VectorDBand PostgreSQL Mississauga, Ontario

Job Summary

This role is accountable for delivering robust AI-driven solutions by leveraging large language models and prompt engineering techniques. The individual applies in-depth expertise in Python, RESTful APIs, and database technologies to design, implement, and optimize generative AI applications, ensuring alignment with organizational standards and project objectives.

Key Responsibilities

• 1. Apply solid knowledge of GenAI and prompt engineering to design, implement, and optimize LLM-based solutions for assigned modules, ensuring technical feasibility and adherence to best practices.
• 2. Develop and integrate RESTful APIs using Python frameworks such as Flask, Django, or FastAPI to enable seamless interaction between AI models and application components.
• 3. Implement and manage data storage solutions using PostgreSQL, MySQL, and VectorDB technologies, optimizing data retrieval and supporting efficient embedding workflows.
• 4. Utilize Pinecone and Azure AI Search to build and maintain scalable vector databases for semantic search and retrieval tasks within GenAI applications.
• 5. Participate in technical reviews and discussions, providing guidance on architecture, technical alternatives, and risk assessment for GenAI projects.
• 6. Ensure process compliance and prepare status reports to monitor project progress, minimize risks, and support timely escalation closure.

Skill Requirements

• 1. Solid Proficiency In Genai, Prompt Engineering, And Working With Large Language Models (Llms).
• 2. Solid Understanding Of Python Programming And Restful Api Development Using Flask, Django, Or Fastapi.
• 3. Solid Experience With Relational And Vector Databases, Including Postgresql, Mysql, And Pinecone.
• 4. Solid Ability To Implement And Optimize Embedding Techniques For Aidriven Applications.
• 5. Solid Familiarity With Azure Ai Search And Semantic Retrieval Solutions.
• 6. Solid Skills In Technical Documentation And Process Compliance Within Development Projects.

Other Requirements

Optional but valuable certifications:

• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• OpenAI Developer Certificatio

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.