onsite

Engineer - AI/NLP Solutions

The Engineer - AI/NLP Solutions will design, develop, and deploy LLM-powered Generative AI applications for various use cases like chatbots and content generation. This role involves working with Python, deep learning frameworks, and advanced techniques such as prompt engineering and RAG, while collaborating with cross-functional teams.

About the role

Job Summary

The role focuses on designing, developing, and deploying LLM-powered Generative AI applications for diverse use cases such as chatbots, content generation, summarization, and code automation.

Key Responsibilities

Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation.
Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks.
Write clean, modular, and scalable code while ensuring best practices in software development.
Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude).
Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance.
Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets.

Core Competencies

Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.
Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.
Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions.
Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.
Strong problem-solving skills and experience working in an agile development environment.
2-4 years of experience in AI/ML, deep learning, or software development.

Skills

LlmGenerative AiPythondeep learning frameworksOpenAI GPTLLaMAMistralFalconClaudePrompt Engineeringretrieval augmented generation (RAG)Model OptimizationVector DatabasesFAISSChromaDBWeaviateAI/MLDeep LearningSoftware DevelopmentCloud PlatformsAWSGCP

DepartmentEngineering

LocationGurgaon, India

Experience2+ years

Tenurefull-time

LevelEntry-Level

Posted June 1, 2026

About the role

Job Summary

The role focuses on designing, developing, and deploying LLM-powered Generative AI applications for diverse use cases such as chatbots, content generation, summarization, and code automation.

Key Responsibilities

Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation.
Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks.
Write clean, modular, and scalable code while ensuring best practices in software development.
Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude).
Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance.
Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets.

Core Competencies

Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.
Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.
Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions.
Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.
Strong problem-solving skills and experience working in an agile development environment.
2-4 years of experience in AI/ML, deep learning, or software development.