Artificial Intelligence Engineer

Job Description : Agentic AI Developer

About the Role

We are looking for a skilled Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions. The ideal candidate will have hands-on experience in LLM integration, RAG pipelines, multi-agent orchestration, and multi-cloud AI deployments .

You will be responsible for developing autonomous AI agents, multimodal assistants, and enterprise-ready AI workflows , leveraging leading frameworks, vector databases, and modern MLOps practices.

Key Responsibilities

• Develop and implement Agentic AI systems with autonomous reasoning, decision-making, memory, and multi-step task execution.
• Contribute to multi-agent orchestration (planning, collaboration, delegation, tool chaining).
• Fine-tune and customize large language models (LLMs) using LoRA / PEFT .
• Build and deploy retrieval-augmented generation (RAG) pipelines with LangChain, LlamaIndex, Hugging Face , and vector databases (Pinecone, FAISS, Weaviate, Milvus).
• Develop multimodal & multilingual AI assistants for enterprise use cases.
• Implement and integrate AI workflows with REST / GraphQL APIs using FastAPI, Flask, or Django .
• Apply MLOps practices : CI / CD, monitoring, scaling, retraining, and model governance in multi-cloud environments.
• Optimize models for performance, scalability, and cost efficiency .
• Collaborate with cross-functional teams to deliver production-ready AI solutions .

Required Skills & Expertise

o Fine-tuning with LoRA / PEFT

o Multimodal content generation (text, vision, speech)

o Multilingual AI solutions

o Enterprise-scale LLM integration

Preferred / Good to Have

Soft Skills & Strengths