Senior GenAI Engineer

Lonvec Technologies Private Limited; Bengaluru; On-site; INR 400,000 - 700,000; Full time

Job summary

Lonvec Technologies Private Limited is seeking a Senior GenAI Engineer with 8+ years of experience to design, develop, and deploy Generative AI solutions in Bengaluru. You will drive scalable GenAI applications, code in Python, and collaborate with cross-functional teams to deliver end-to-end AI systems.

The role emphasizes building LLM-powered solutions, RAG pipelines, and production deployments, with a focus on prompts, AI workflows, and enterprise integration.

Qualifications

• 8+ years of experience in GenAI engineering.
• Strong Python and ML/DL knowledge.
• Experience with LLMs, OpenAI APIs, LangChain, and RAG.
• Experience deploying GenAI solutions to production.

Responsibilities

• Implement scalable GenAI applications and RAG pipelines.
• Build and optimize LLM-powered solutions and AI workflows.
• Integrate AI models with enterprise applications.
• Deploy GenAI solutions to production environments.
• Provide technical support for AI systems and maintain GenAI projects end-to-end.

Skills

Python

LLMs

OpenAI APIs

LangChain

RAG

Prompt Engineering

NLP

Machine Learning

Deep Learning

Vector Databases

AWS

Azure

GCP

Docker

Kubernetes

MLOps

Tools

Docker

Kubernetes

AWS

Azure

GCP

LangChain

Job description

We are hiring a Senior GenAI Engineer with 8+ years of experience in designing, developing, and deploying Generative AI solutions. The ideal candidate should be technically strong in Python, Large Language Models, OpenAI APIs, LangChain, Retrieval-Augmented Generation (RAG), Prompt Engineering, NLP, Machine Learning, Deep Learning, and Vector Databases. Experience with cloud platforms such as AWS, Azure, or GCP, along with Docker, Kubernetes, and MLOps, is highly preferred. The role requires an individual contributor who can work individually while collaborating with cross-functional teams. Key responsibilities include the implementation of scalable GenAI applications, building LLM-powered solutions and RAG pipelines, developing and optimizing prompts and AI workflows, integrating AI models with enterprise applications, deploying solutions to production environments, providing technical support for AI systems, and managing GenAI projects end-to-end from solution design and development through deployment and continuous optimization.

Requirements

• Prompt Engineering