ML/AI Systems Engineer
Summary
Freelance, fully remote (PAN India) role building production-grade agentic AI systems: multi-agent orchestration, LLM-powered applications, structured outputs, and tool/function-calling integration for STEM problem-solving (math, physics, CS, quant finance). Core stack: Python with LangGraph, AutoGen, and CrewAI; requires 4-hour PST overlap.
Hello,
Greetings from ZettaMine!!!
Freelancing Opportunity: We are hiring Agentic AI Engineers (AI/ML Engineers) for an exciting AI Research and Software Engineering project focused on building, evaluating, and improving advanced Large Language Models (LLMs) through real-world agentic systems, multi-agent orchestration, and STEM-based problem-solving.
Locations: PAN India
Role: Agentic AI Engineer AI/ML Engineer
Experience: Strong hands-on experience in building production-grade Agentic AI systems
Employment Type: Freelance
Mode: Remote
Mandatory Eligibility Criteria
Technical Qualifications:
- Proven experience architecting and deploying production-grade, multi-step Agentic AI systems.
- Strong hands-on experience with agentic frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
- Advanced proficiency in Python programming.
- Experience building AI/ML applications within STEM domains, including Mathematics, Physics, Computer Science, or Quantitative Finance.
- Strong understanding of LLM orchestration and multi-agent workflows.
- Experience implementing structured output generation and response validation.
- Hands-on experience with tool integration and function calling.
- Strong understanding of agent state management and workflow orchestration.
- Ability to design, develop, and deploy reliable AI-powered applications.
- Strong problem-solving, analytical, and communication skills.
Nice to Have:
- Experience developing complex multi-agent architectures.
- Familiarity with LLM evaluation, prompt engineering, and AI model optimization.
- Experience integrating external APIs, tools, and databases into agentic workflows.
- Previous participation in LLM research or AI evaluation projects.
- Strong background in developing AI/ML solutions for scientific or quantitative applications.
Availability & Commitment
- Must be available for 8 hours per day.
- Required overlap of at least 4 hours with PST business hours.
What You'll Work On:
- Architect and develop production-grade, multi-step Agentic AI systems.
- Build and orchestrate intelligent AI agents using frameworks such as LangGraph, AutoGen, and CrewAI.
- Develop advanced LLM-powered applications for real-world problem-solving.
- Implement LLM orchestration, structured output generation, and tool integrations.
- Design and manage agent states, workflows, and multi-agent communication.
- Build AI/ML applications focused on STEM domains such as Mathematics, Physics, Computer Science, and Quantitative Finance.
- Evaluate and improve agent performance, reliability, and reasoning capabilities.
- Contribute to AI research initiatives focused on training and improving advanced LLM capabilities.
Interested Candidates:
If you meet the eligibility criteria and are interested in this remote freelancing opportunity, please share your updated CV and LinkedIn profile URL at aziza.m@zettamine.com.