Ai Engineer
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