AI/ML Engineer (LLM)

Cerebra; Navi Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Cerebra in Mumbai is seeking an experienced AI/ML Engineer (LLM) to design, develop, and deploy scalable, production-ready AI solutions.

You will lead projects, mentor juniors, and collaborate across teams to deliver Generative AI and chatbot applications. Strong background in LLMs, deep learning, and cloud/on-prem infra required.

Qualifications

• Experience with large language models and generative AI systems.
• Proven ability to design and deploy scalable AI applications in production.
• Strong leadership and mentoring of junior engineers.

Responsibilities

• Design, develop, and deploy AI-driven solutions using LLMs and Generative AI technologies.
• Build and maintain scalable, production-ready AI applications and pipelines.
• Integrate cloud AI services and on-premises infrastructure into AI solutions.
• Lead the design and implementation of AI/ML solutions aligned with business requirements.
• Develop and optimize LLM-powered applications, conversational agents, and chatbots.
• Apply deep learning, neural networks, and image processing techniques where required.
• Collaborate with cross-functional teams to improve workflows, system performance, and solution quality.
• Provide technical leadership, make key technical decisions, and resolve complex problems.
• Mentor junior engineers and promote knowledge sharing and engineering best practices.
• Ensure AI applications meet production standards for scalability, reliability, and performance.

Skills

LLMs

Generative AI

Production-grade AI pipelines

Cloud AI services

On-prem AI infrastructure

Deep learning frameworks

Neural networks

Chatbot development

Leadership mentoring

Problem solving

Job description

Role & responsibilities

Job Description AI/ML Engineer (LLM)
Role: AI/ML Engineer – Team Lead / Consultant
Primary Skill: Large Language Models (LLMs)
Location: Mumbai
Business Unit: Data & AI

Job Summary

We are looking for an experienced AI/ML Engineer with strong expertise in Large Language Models (LLMs), Generative AI, and AI application development. The candidate will be responsible for designing, developing, and deploying scalable, production-ready AI solutions using cloud-based AI services and on-premises infrastructure. The role involves implementing Generative AI models, developing chatbots, working with deep learning technologies, and ensuring high-quality AI pipelines.

Key Responsibilities

• Design, develop, and deploy AI-driven solutions using LLMs and Generative AI technologies.
• Build and maintain scalable, production-ready AI applications and pipelines.
• Integrate cloud AI services and on-premises infrastructure into AI solutions.
• Lead the design and implementation of AI/ML solutions aligned with business requirements.
• Develop and optimize LLM-powered applications, conversational agents, and chatbots.
• Apply deep learning, neural networks, and image processing techniques where required.
• Collaborate with cross-functional teams to improve workflows, system performance, and solution quality.
• Provide technical leadership, make key technical decisions, and resolve complex problems.
• Mentor junior engineers and promote knowledge sharing and engineering best practices.
• Ensure AI applications meet production standards for scalability, reliability, and performance.

Required Technical Skills

• Strong hands-on experience with Large Language Models (LLMs).
• Experience developing and deploying Generative AI applications.
• Knowledge of cloud AI services and on-premises AI infrastructure.
• Understanding of deep learning frameworks and neural network architectures.
• Experience building and maintaining production-grade AI pipelines.
• Knowledge of chatbot development and conversational AI.
• Familiarity with image processing and AI/ML application development.
• Strong problem-solving, technical leadership, and collaboration skills.

Preferred Skills

• Experience with LLM application development and deployment.
• Knowledge of prompt engineering, RAG, and AI application integration.
• Experience with AI model evaluation, monitoring, and performance optimization.
• Exposure to scalable AI architecture and production deployment practices.

Candidate Profile

The ideal candidate should have strong expertise in LLMs and Generative AI, along with hands-on experience delivering production-ready AI solutions. The candidate must be capable of leading technical initiatives, coordinating with multiple teams, making architectural decisions, and mentoring junior team members.

Mandatory Skill: Large Language Models (LLMs).