ML/AI Systems Engineer (India)

ML/AI Systems Engineer (India)

04 Nov
|
ZettaMine Labs
|
India

04 Nov

ZettaMine Labs

India

Greetings from ZettaMine We are hiring an experienced Senior AI Systems Engineer for a short-term Frontier AI Research & Exploratory Mathematics project. This opportunity involves designing and deploying advanced multi-step AI agents capable of complex reasoning, hypothesis generation, mathematical problem-solving, and technical validation. Role: Senior AI Systems Engineer – Agentic AI Architecture

Location:
Remote (India) Engagement Type: Freelance Contract Duration: 1 Month (Extension Possible) Payment: $25 per Approved Task Commitment: Minimum 40 Hours per Week (At least 4 Hours per Day) Time Zone Overlap: 4 Hours with PST

Key Responsibilities
• Design, build, and optimize multi-step agentic AI workflows for complex reasoning and problem-solving.
• Develop AI agents capable of multi-hop reasoning, hypothesis generation, and technical validation.
• Collaborate with mathematical researchers to convert complex mathematical proofs into structured technical specifications.
• Develop reusable frameworks, tools, and memory systems for STEM-focused AI agents.
• Evaluate and improve agent performance, accuracy, reliability, and reasoning traceability.
• Build automated pipelines for advanced scientific and mathematical workflows. Required

Skills:
• Proven experience designing and deploying production-grade multi-step agentic AI systems.
• Strong hands-on experience with Python programming.




• Expertise in LLM orchestration and agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
• Experience with structured output generation, tool integration, and state management.
• Strong understanding of multi-agent architectures and multi-step reasoning workflows.
• Ability to translate complex academic and technical concepts into modular software systems. Valuable to Have:
• Experience building AI/ML applications in Mathematics, Physics, Computer Science, or Quantitative Finance.
• Experience working with mathematical researchers or subject-matter experts.
• Knowledge of advanced scientific and mathematical problem-solving workflows. Educational Qualification:
• Relevant academic or professional background in Mathematics, Physics, Computer Science, Engineering, or Quantitative Finance is preferred. Technical

Requirements:
• Personal laptop or desktop with a stable, high-speed internet connection.
• Ability to work independently in a fully remote environment. Offer Details:
• Contractor assignment with no medical or paid leave benefits.
• Payment based on approved tasks at $25 per task.
• Minimum commitment of 40 hours per week. Interested candidates are encouraged to apply and contribute to cutting-edge AI research and LLM evaluation projects. OR Please share your updated CV with LinkedIn profile link to: [email protected] Thanks & Regards, Karthik K ZettaMine

📌 ML/AI Systems Engineer (India)
🏢 ZettaMine Labs
📍 India

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