Walk-in | Gen AI Developer (Walkin Interview-19-September-Chennai)

Tata Consultancy Services; Chennai District; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Tata Consultancy Services in Chennai seeks a GenAI specialist to design, implement and optimize LLM-powered services for real business use-cases, focusing on accuracy, efficiency and scalability.

Responsibilities include prompt engineering, building RAG systems, evaluating models, and applying MLOps practices with Python/.NET/Java in cloud environments to deliver production GenAI solutions.

Qualifications

• GenAI concepts including LLMs, embeddings and NLP fundamentals.
• Hands-on GenAI development with focus on accuracy and scalability.
• Prompt engineering and evaluation of output quality.

Responsibilities

• Strong knowledge of Generative AI concepts including foundation models, embeddings, and NLP fundamentals used in GenAI solutions.
• Design, implement, and optimize GenAI applications (LLM-powered services) for real business use-cases, with focus on accuracy, efficiency, and scalability.
• Hands-on prompt engineering (zero/few-shot, Chain-of-Thought, Tree-of-Thought, prompt templates) and ability to evaluate and refine prompts based on output quality.
• Build Retrieval-Augmented Generation (RAG) solutions, including retrieval strategy integration and prompt + retrieval orchestration patterns.
• Experience with agent / app evaluation practises evaluate model and agent performance for GenAI use-cases (quality, effectiveness, benchmarking).
• Cloud-based GenAI platform experience (e.g., AWS / Azure / GCP) for building and deploying scalable GenAI solutions with high availability and performance.
• MLOps / LLMOps-aligned practices: CI/CD, monitoring, logging, and version control for deploying and operating GenAI systems in production.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

Skills

GenAI concepts

Prompt engineering

RAG systems

Model evaluation

Cloud GenAI platforms

MLOps

Programming languages

Tools

TensorFlow

PyTorch

Keras

Job description

Job Description

4-15years

Location: Chennai

Walk In Interview: Chennai

• Strong knowledge of Generative AI concepts including foundation models / LLMs, embeddings, and NLP fundamentals used in GenAI solutions.
• Design, implement, and optimize GenAI applications (LLM-powered services) for real business use-cases, with focus on accuracy, efficiency, and scalability.
• Hands-on prompt engineering (e.g., zero/few-shot, Chain-of-Thought, Tree-of-Thought, prompt templates) and ability to evaluate and refine prompts based on output quality.
• Build Retrieval-Augmented Generation (RAG) solutions, including retrieval strategy integration and prompt + retrieval orchestration patterns.
• Experience with agent / app evaluation practicesevaluate model and agent performance for GenAI use-cases (quality, effectiveness, benchmarking).
• Cloud-based GenAI platform experience (e.g., AWS / Azure / GCP) for building and deploying scalable GenAI solutions with high availability and performance.
• MLOps / LLMOps-aligned practices: CI/CD, monitoring, logging, and version control for deploying and operating GenAI systems in production.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).