ML/AI Systems Engineer
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Experience:
Minimum 3+ Years Mode: Remote Engagement: Contractor / Short-Term Contract Duration: 4 Weeks Start: Immediate Mandatory Eligibility Criteria
• Technical Expertise: Proven track record of architecting and deploying production-grade, multi-step agentic systems (e.g., using frameworks like LangGraph, AutoGen, CrewAI, or custom orchestration).
• Domain
Experience:
Background building AI/ML applications within STEM domains (Mathematics, Physics, Computer Science, or Quantitative Finance).
• Core
Skills:
Advanced Python proficiency, experience with LLM orchestration, structured output generation, tool integration, and state management.
About the Role
Senior AI Systems Engineer with deep expertise in multi-step agentic architecture to support a high-impact, exploratory mathematics research initiative. In this role, you will bridge pure mathematics and technical execution, designing and deploying complex AI agents capable of reasoning through advanced scientific and mathematical workflows.
Key Responsibilities
• Design, build, and optimize multi-step agentic workflows capable of multi-hop reasoning, hypothesis generation, and technical validation.
• Collaborate closely with mathematical researchers to translate complex, abstract proofs into structured technical specifications and automated pipelines.
• Develop reusable architectural frameworks, tooling, and memory systems for STEM-focused AI agents.
• Evaluate and iterate on agent performance, ensuring high accuracy, reliability, and trace logic across execution steps. Qualifications
• Technical Expertise: Proven track record of architecting and deploying production-grade, multi-step agentic systems (e.g., using frameworks like LangGraph, AutoGen, CrewAI, or custom orchestration).
• Domain
Experience:
Background building AI/ML applications within STEM domains (Mathematics, Physics, Computer Science, or Quantitative Finance).
• Core
Skills:
Advanced Python proficiency, experience with LLM orchestration, structured output generation, tool integration, and state management.
• Problem-Solving: Comfort working alongside subject-matter experts to translate dense academic material into modular software systems. Availability Requirements
• Available to work at least 8 hours per day.
• Minimum commitment of 40 hours per week.
• Must have at least 4 hours of working-hour overlap with PST.
• Immediate availability for remote contract work.
• Willingness to work in a fast-paced project environment. Compensation & Engagement Details
• Payment: $25 per approved task.
• Average Handling Time: 45-60 mins minutes per task.
• Employment Type: Contractor assignment (no medical or paid leave).
• Evaluation Process: Assessment-based review (approximately 75 minutes).
• Vetting Process: Interest Check Form (ICF) followed by Delivery Review. Interested candidates: Please share your updated CV at: Swetha.p@zettamine.com Regards, Swetha. P
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