Sr GenAI Engineer - VectorDBand PostgreSQL

About the role

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.

What you'll do

• Provide advanced proficiency in GenAI and prompt engineering by designing, refining, and deploying LLM-driven solutions using Python frameworks such as Flask, Django
• Architect and implement RESTful APIs to integrate LLM models and vector databases (e.g., Pinecone, PostgreSQL
• 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

What you need

• 6–11 yrs of experience
• LLMs
• PostgreSQL
• Python
• Machine learning
• SQL
• Prompt engineering
• Any graduate

Good to have

• Scikit-learn
• Computer vision
• NLP
• TensorFlow
• Spark
• Hadoop