AI Engineer

Role : AI Engineer
Experience : 3+ yearsJob mode : Longterm contract roleWork Mode : 5 days WFO

Job Description:

LLM Applied AI & Generative AI (Gen AI)

This role combines expertise in Large Language Models (LLMs) with Generative AI (Gen AI) to develop and implement innovative solutions. You'll be at the forefront of AI technology, applying your skills to real-world problems.

Here's a breakdown of the typical responsibilities:

Research and Development

Conduct research to push the boundaries of LLMs and Gen AI

Design and implement algorithms for LLM training and Gen AI tasks

Stay up-to-date on the latest advancements in LLM and Gen AI research

Prompt Engineering and Prompt chains

Fine-tune LLM models for specific applications

Develop and integrate Gen AI models into various applications

Optimize models for performance, scalability, and efficiency

Deploy models into production environments

Applications and Use Cases

Identify and develop solutions using LLMs and Gen AI for real-world challenges

Collaborate with cross-functional teams (e.g., engineers, product managers) to integrate LLM/Gen AI solutions

Design and conduct proof-of-concept (POC) projects to demonstrate feasibility

Minimum Qualifications

Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience.

Experience with LLM/Gen AI frameworks, libraries like LangChain and tools

Understanding of machine learning concepts and best practices

Programming experience with Python

Familiarity with Applied AI use cases and solutions

Excellent communication and collaboration skills

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus.

This is a rapidly evolving field, so the specific requirements may vary. But if you're passionate about AI and eager to apply it to solve real problems, then an LLM Applied AI & Gen AI role could be a great fit for you.

Job Type: Contractual / Temporary
Contract length: 1 - 12 months

Benefits:

• Provident Fund

Schedule:

• Day shift

Location:

• Bengaluru, Karnataka (Required)

Work Location: In person