Autonomous AI Agent Engineer (Fully Remote)

Overview

We are looking for an AI Engineer to Design, Build, and Deploy next-generation autonomous AI systems. This role focuses on developing intelligent, agent-based solutions that orchestrate complex workflows, integrate with APIs and tools, and operate with high levels of performance, resilience, and ethical compliance.

What You’ll Do

1. Agent Development & Orchestration

• Architect and deploy autonomous AI agents capable of web navigation, GUI interactions, and multi-agent collaboration.
• Design workflows that enable agents to autonomously achieve user-defined goals.
• Use frameworks such as LangChain, AutoGen, or similar to coordinate multi-agent interactions.

2. Prompt Engineering & Tool Integration

• Fine-tune prompts for consistent and precise agent behavior.
• Integrate APIs, browser automation, and external tools to extend agent functionality.

3. Data Infrastructure & MLOps

• Build pipelines for real-time data ingestion, transformation, and feature engineering.
• Apply MLOps practices (CI/CD, monitoring, scaling) to ensure system reliability and maintainability.

4. Performance, Safety & Ethics

• Evaluate and optimize agent performance, accuracy, and resilience.
• Implement safeguards for ethical use, including privacy, bias mitigation, and robustness against adversarial inputs.

5. Collaboration & Strategy

• Work closely with data scientists, product managers, DevOps, QA, and business stakeholders.
• Translate requirements into agent workflows, roadmaps, and deliverable features.

What You’ll Bring

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or equivalent experience.
• 2+ years of experience building intelligent systems, with hands-on work in LLM-based agents, multi-agent frameworks, or operator-style systems.

Technical Skills

• Programming: Strong in Python (Java/Node.js a plus).
• Frameworks: Experience with at least two—LangChain, AutoGen, OpenAI Functions, AutoGPT, AgentQL, CrewAI, Playwright.
• Web Automation: Familiarity with browser simulation and GUI automation tools.
• Data & MLOps: ETL, real-time streams, SQL/NoSQL databases, data cleaning, feature engineering.
• Prompt Engineering: Multi-step orchestration and template design.
• Security & Ethics: Adversarial training, differential privacy, bias audits.

Soft Skills

• Creative and strategic problem-solver.
• Strong critical thinking, curiosity, and ethical awareness.
• Excellent communicator—able to explain complex AI workflows to non-technical audiences.