ML/AI System Engineer

• *We're Hiring: ML/AI Systems Engineer \| Remote Opportunity**

We are looking for experienced **ML/AI Systems Engineers** to work on an exciting, high\-impact mathematics research initiative with Turing.

If you have strong expertise in building production\-grade AI agents, multi\-step reasoning systems, and LLM\-powered applications, this opportunity is for you!

• *Job Details:**

• *Position:** ML/AI Systems Engineer
• *Engagement:** Short\-Term Contract (4 Weeks)
• *Rate:** $25 per task
• *Average Handling Time:** 45–60 minutes per task
• *Working Hours:** 8 hours per day
• *Time Zone:** 4 hours of overlap with US PST
• *Work Mode:** Remote

• *Key Responsibilities:**

• Design and optimize multi\-step agentic workflows.
• Build AI agents for mathematical and scientific reasoning.
• Develop reusable agent architectures, tools, and memory systems.
• Collaborate with mathematical researchers to translate complex proofs into technical workflows.
• Evaluate agent performance, accuracy, reliability, and traceability.

• *Required Skills:**

• Advanced Python programming.
• Hands\-on experience with LangGraph, AutoGen, CrewAI, or custom agentic frameworks.
• Strong expertise in LLM orchestration and multi\-agent systems.
• Experience with structured output generation, tool integration, and state management.
• Background in AI/ML applications within Mathematics, Physics, Computer Science, or Quantitative Finance.
• Experience building and deploying production\-grade agentic systems.

• *Interested candidates can share their updated resumes and contact details via DM.**

Feel free to share this opportunity with relevant connections in your network.

\#Hiring \#MLJobs \#AIJobs \#AISystemsEngineer \#MachineLearning \#ArtificialIntelligence \#Python \#LangGraph \#AutoGen \#CrewAI \#LLM \#AgenticAI \#RemoteJobs \#ContractJobs \#Turing

Pay: ₹2,300\.00 per hour

Benefits

• Flexible schedule
• Work from home

Application Question(s)

• What was your area of specialization? (Mathematics, Physics, Computer Science, or Quantitative Finance).

Education

• Doctorate (Preferred)

Experience

• Multistep agentic architecture: 5 years (Required)

Language

• English (Preferred)

Work Location: Remote