Gen AI Developer (3-5 Years ) Bengaluru

HypTechie; Bengaluru; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

HypTechie in Bengaluru is seeking a Gen AI Developer to build, fine-tune, and deploy generative AI solutions. You will work with LLMs, develop AI pipelines, and integrate models into applications.

Collaborate with cross-functional teams to gather requirements, evaluate model performance, and implement improvements for accuracy and efficiency. Strong Python skills and experience with ML frameworks are required, along with cloud and containerization familiarity.

Qualifications

• Experience inGen AI development and deployment.
• Hands-on experience with LLMs and AI models.
• Proficient in Python and ML frameworks.
• Knowledge of prompts, embeddings, vector databases, and RAG systems.

Responsibilities

• Develop and fine-tune LLMs and generative AI models for various business use cases.
• Build and optimize AI pipelines, model workflows, and inference systems.
• Integrate AI capabilities into applications using APIs and modern frameworks.
• Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions.
• Evaluate model performance and implement improvements for accuracy and efficiency.

Skills

LLMs

Python

ML frameworks

Prompt engineering

Cloud platforms

Docker

MLOps

API integration

Tools

OpenAI

HuggingFace

Azure OpenAI

PyTorch

TensorFlow

Job description

Gen AI Developer

Experience: 3-5 Years

Location: Bengaluru

Job Summary

Seeking a talented Gen AI Developer to build, fine-tune, and deploy generative AI solutions. The role involves working with LLMs, building AI pipelines, integrating models into applications, and collaborating with cross-functional teams.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for various business use cases.
• Build and optimize AI pipelines, model workflows, and inference systems.
• Integrate AI capabilities into applications using APIs and modern frameworks.
• Work with cross-functional teams to gather requirements and deliver AI-driven solutions.
• Evaluate model performance and implement improvements for accuracy and efficiency.

Required Skills

• Hands-on experience with LLMs (OpenAI, HuggingFace, Azure OpenAI, etc.).
• Strong Python skills and experience with AI/ML frameworks (PyTorch/TensorFlow).
• Understanding of prompt engineering, embeddings, vector databases, and RAG systems.
• Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker).
• Knowledge of MLOps tools, model deployment, and API integration.