AI Engineer(Gen AI & Agentic AI)

AI Engineer(Gen AI & Agentic AI)

Company: Ibroad Solutions Sdn. Bhd

Job Location: Secunderabad, Telangana, India

Employment Type: Full-time

Experience Required: 3+ years

AI Engineer Generative AI & Agentic AI

Location: Petaling Jaya, Selangor

Job Summary

We are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.

Key Responsibilities

Design and develop AI chatbots, copilots, and LLM-powered applications.

Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.

Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.

Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.

Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.

Develop AI integration services and APIs for existing systems and business workflows.

Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.

Collaborate with software engineers, architects, product teams, and business stakeholders.

Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.

Requirements

Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.

3+ years of experience in AI/ML engineering, software engineering, or a related role.

Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.

Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.

Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.

Strong Python programming and software engineering skills.

Experience with REST APIs, system integration, databases, and cloud/on-premise environments.

Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.

Experience with frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernel, Auto Gen, CrewAI, or equivalent.

Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.

Familiarity with Docker, Git, CI/CD, and production deployment.

Preferred Skills

Experience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.

Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.

Experience with AWS, Azure, or Google Cloud.

Knowledge of AI security, data privacy, access control, and responsible AI. .