AI Engineer
KeySkills
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AI Engineer,
Data Scientist,
AI Agent Development,
Agentic AI Systems,
Python,
Large Language Models (LLMs),
Generative AI,
LangChain,
OpenAI API,
Hugging Face,
Multi-Agent Systems,
Agent-Based Modeling,
Reinforcement Learning,
Autonomous Agents,
Prompt Engineering,
Vector Databases,
Retrieval-Augmented Generation (RAG),
API Development,
Backend Services,
AI Governance,
Safety Guardrails,
Conversational AI,
Azure Cloud.,
Job Description
Key Responsibilities:
Design and implement AI agents using LLMs, planning algorithms, and decision-making framework.
Develop agent architectures that support autonomy, interactivity, and end-to-end task completion.
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Integrate agents into applications, APIs, workflows, chatbots, copilots, and automation tools.
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Collaborate with researchers, engineers, and product teams to iterate and improve agent capabilities.
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Optimize agent behavior using feedback loops, reinforcement learning, and user interaction signals.
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Monitor agent performance and conduct evaluations, testing, and continuous improvement.
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Implement safety mechanisms, guardrails, and monitoring for autonomous systems.
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Maintain detailed documentation of agent logic, design decisions, and system dependencies.