Generative AI Engineer

Objectways; Chennai District; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Objectways in Tamil Nadu, India is seeking a Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions. The role involves utilizing Large Language Models (LLMs), and Agentic AI frameworks.

The ideal candidate will have 4+ years of software development experience and hands-on expertise with various modern AI frameworks. Responsibilities include building AI applications and integrating them into enterprise workflows.

Qualifications

• 4+ years of software development experience.
• Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Vector Databases and Embeddings.
• Knowledge of Agentic AI, RAG, and Multi-Agent Systems.
• Understanding of Machine Learning and Deep Learning fundamentals.
• Experience with Kafka, APIs, and enterprise integrations.
• Familiarity with Docker and cloud platforms.

Responsibilities

• Design and implement Generative AI applications using modern LLM frameworks.
• Develop Agentic AI systems with autonomous planning and tool orchestration capabilities.
• Build scalable AI-powered solutions integrated with enterprise applications.
• Develop and optimize RAG pipelines using vector databases and embeddings.
• Evaluate model performance and implement responsible AI practices.
• Collaborate with engineering teams to integrate AI services into business workflows.
• Participate in architecture design and technical reviews.

Skills

Software development

LangChain

LlamaIndex

Semantic Kernel

Vector Databases

Machine Learning

Deep Learning

APIs

Kafka

Docker

Tools

AWS

Azure

GCP

Job description

We are seeking a Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and Retrieval Augmented Generation (RAG) architectures.

Key Responsibilities

• Design and implement Generative AI applications using modern LLM frameworks.
• Develop Agentic AI systems with autonomous planning and tool orchestration capabilities.
• Build scalable AI-powered solutions integrated with enterprise applications.
• Develop and optimize RAG pipelines using vector databases and embeddings.
• Evaluate model performance and implement responsible AI practices.
• Collaborate with engineering teams to integrate AI services into business workflows.
• Participate in architecture design and technical reviews.

Required Qualifications

• 4+ years of software development experience.
• Hands‑on experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Vector Databases and Embeddings.
• Knowledge of Agentic AI, RAG, and Multi‑Agent Systems.
• Understanding of Machine Learning and Deep Learning fundamentals.
• Experience with Kafka, APIs, and enterprise integrations.
• Familiarity with Docker and cloud platforms (AWS, Azure, or GCP).Strong understanding of REST APIs, system design, and data structures.

Preferred Qualifications

• Experience building production‑grade AI applications.
• Knowledge of model evaluation and prompt engineering techniques.