Sr Tech Lead-GenAI - VectorDBand PostgreSQL (US)
Role Overview
This role is accountable for delivering advanced Generative AI solutions by leveraging large language models and prompt engineering techniques.
The position drives technical excellence in project execution, ensures robust solution design, and optimizes AI-driven applications using modern Python frameworks and scalable database technologies.
The individual acts as a technical authority, guiding teams in implementing best practices, and plays a key role in the successful delivery of complex AI projects aligned with organizational goals.
Key Skills for This Role
Full Job Posting
Job Summary
This role is accountable for delivering advanced Generative AI solutions by leveraging large language models and prompt engineering techniques. The position drives technical excellence in project execution, ensures robust solution design, and optimizes AI-driven applications using modern Python frameworks and scalable database technologies. The individual acts as a technical authority, guiding teams in implementing best practices, and plays a key role in the successful delivery of complex AI projects aligned with organizational goals.
Key Responsibilities
- Provide advanced proficiency in GenAI and prompt engineering by designing, refining, and deploying LLM-driven solutions using Python frameworks such as Flask, Django, and FastAPI. Architect and implement RESTful APIs to integrate LLM models and vector databases (e.g., Pinecone, PostgreSQL, AzureAISearch) for scalable and efficient data retrieval in AI applications. Optimize database schemas and embeddings using PostgreSQL and VectorDB to enhance performance and accuracy of generative AI systems. Oversee code quality and performance by conducting comprehensive code reviews and enforcing best practices in Python, RESTful API development, and prompt engineering. Lead technical feasibility studies and solution breakdowns, evaluating architecture alternatives and technical risks for GenAI project modules. Collaborate with internal stakeholders to define technical objectives, deliverables, and ensure process compliance in the development and deployment of AI-powered solutions.
- Provide advanced proficiency in GenAI and prompt engineering by designing, refining, and deploying LLM-driven solutions using Python frameworks such as Flask, Django, and FastAPI.
- Architect and implement RESTful APIs to integrate LLM models and vector databases (e.g., Pinecone, PostgreSQL, AzureAISearch) for scalable and efficient data retrieval in AI applications.
- Optimize database schemas and embeddings using PostgreSQL and VectorDB to enhance performance and accuracy of generative AI systems.
- Oversee code quality and performance by conducting comprehensive code reviews and enforcing best practices in Python, RESTful API development, and prompt engineering.
- Lead technical feasibility studies and solution breakdowns, evaluating architecture alternatives and technical risks for GenAI project modules.
- Collaborate with internal stakeholders to define technical objectives, deliverables, and ensure process compliance in the development and deployment of AI-powered solutions.
- Advanced Proficiency In Genai, Large Language Models (Llms), And Prompt Engineering.
- Solid Expertise In Python Programming, Including Frameworks Such As Flask, Django, And Fastapi.
- Indepth Knowledge Of Restful Api Design And Implementation For Ai Integrations.
- Advanced Skills In Database Management Using Postgresql, Mysql, And Vectordb Technologies (E.G., Pinecone, Azureaisearch).
- Strong Understanding Of Embedding Techniques And Their Application In Generative Ai Workflows.
Skill Requirements
Advanced Proficiency In Genai, Large Language Models (Llms), And Prompt Engineering. Solid Expertise In Python Programming, Including Frameworks Such As Flask, Django, And Fastapi. Indepth Knowledge Of Restful Api Design And Implementation For Ai Integrations. Advanced Skills In Database Management Using Postgresql, Mysql, And Vectordb Technologies (E.G., Pinecone, Azureaisearch). Strong Understanding Of Embedding Techniques And Their Application In Generative Ai Workflows. Experience In Optimizing Code Quality, Performance, And Scalability Of Aidriven Applications.
Other Requirements
Optional but valuable: Certifications such as TensorFlow Developer Certificate Microsoft Azure AI Engineer Associat
Qualifications
- In Optimizing Code Quality, Performance, And Scalability Of Aidriven Applications.
- Other Requirements
- Certifications such as TensorFlow Developer Certificate
- Microsoft Azure AI Engineer Associat
About HCL Technologies
HCL Technologies is a global IT services and consulting company offering digital, engineering, cloud, and AI solutions. Headquartered in Noida, India, it serves clients across industries in over 60 countries.
Visit company websiteApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at HCL Technologies
Track Manager (Support & Operations) (US)
, USA
Senior Program Manager - Agile (US)
, USA
Senior Technical Lead (US)
, USA
Senior Technical Lead (US)
, USA
Technical Lead (US)
, USA
Senior Technical Specialist - MDR, 510(k), DHF Remediation (US)
, USA
Technical Support Specialist (GB)
, GBR
Senior Designer - ATE, LabVIEW (US)
, USA