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Ai Engineer

💼 Full-time🗓 2026-07-25

Core

Design, develop, and deploy autonomous AI agents capable of decision-making and task execution.

Role type

Agentic AI Engineer

Builds

Autonomous AI agents, multi-agent systems, and AI-powered solutions

Domain

Artificial Intelligence / Agentic Workflows

Deliverable

production ML models

Required skills

Python, backend development, LLMs, agentic AI frameworks, vector databases, RAG, embeddings, REST APIs, microservices, cloud platforms, Docker, CI/CD

Preferred skills

fine-tuning LLMs, AI evaluation, safety, guardrails, building AI copilots

Technologies

LangChain, LlamaIndex, AutoGen, Pinecone, FAISS, Weaviate, AWS, GCP, Azure

Responsibilities

Design and develop autonomous AI agents using modern LLM frameworks; Build and manage multi-agent systems with reasoning, memory, and tool usage; Integrate AI agents with APIs, databases, and third-party services; Implement Retrieval-Augmented Generation (RAG) pipelines; Optimize prompts, workflows, and model performance; Ensure scalability, reliability, and security of AI systems

Seniority

Mid-level, hands-on IC

Rewrite
## About the Role We are seeking a talented Agentic AI Engineer with 3+ years of experience to design, develop, and deploy intelligent AI agents capable of autonomous decision-making and task execution. The ideal candidate will have strong expertise in LLMs, agentic workflows, and AI system integration. ## Key Responsibilities - Design and develop autonomous AI agents using modern LLM frameworks. - Build and manage multi-agent systems with reasoning, memory, and tool usage. - Integrate AI agents with APIs, databases, and third-party services. - Implement Retrieval-Augmented Generation (RAG) pipelines. - Optimize prompts, workflows, and model performance. - Collaborate with cross-functional teams to deliver AI-powered solutions. - Ensure scalability, reliability, and security of AI systems. ## Required Skills & Qualifications - 3+ years of experience in Python and backend development. - Hands-on experience with LLMs and agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.). - Experience with vector databases such as Pinecone, FAISS, or Weaviate. - Strong understanding of RAG, embeddings, and AI workflows. - Experience with REST APIs, microservices, and cloud platforms (AWS/GCP/Azure). - Familiarity with Docker and CI/CD pipelines. ## Education - BE / BTech in Computer Science, Artificial Intelligence, Information Technology, or related field - OR - MSc IT / MSc in Artificial Intelligence or equivalent postgraduate degree ## Good to Have - Experience in fine-tuning or customizing LLMs. - Knowledge of AI evaluation, safety, and guardrails. - Experience building AI copilots or automation agents. ## Why Join Us? - Work on cutting-edge Agentic AI and autonomous systems. - High-impact role with real-world AI applications. - Strong learning and career growth opportunities.
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