AI Agentic Engineer
Core
Design and build intelligent AI systems capable of reasoning, decision-making, and autonomous task execution for startups and product teams.
Role type
AI Agentic Engineer (Dev/QA)
Builds
AI-powered platforms and autonomous workflows combining LLMs, automation, and real-world integrations
Domain
Artificial Intelligence / Software Engineering
Deliverable
production ML models | product features
Required skills
LLMs and AI frameworks (OpenAI, LangChain, LangGraph, CrewAI, AutoGen), Python, JavaScript, API integration, backend systems, automation workflows, prompt engineering, AI orchestration, workflow automation, databases, REST APIs, cloud-based systems
Preferred skills
vector databases, RAG architectures, AI evaluation/testing frameworks, Docker, CI/CD, cloud platforms, multi-agent systems, QA automation
Technologies
OpenAI, LangChain, LangGraph, CrewAI, AutoGen, Python, JavaScript, Docker, CI/CD
Responsibilities
Design and develop agentic AI workflows and autonomous systems, Integrate LLMs with APIs, databases, tools, and external systems, Build AI agents capable of task execution, reasoning, and workflow automation, Develop and test AI-driven applications for reliability, scalability, and accuracy, Work with orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools, Debug, monitor, and optimize AI workflows and backend integrations
Seniority
Mid-level, hands-on IC