Niktor Inc
Python Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Engineer with 10+ years of experience, focusing on data pipelines, reinforcement learning, and large language models. Contract length and pay rate are unspecified. Key skills include Python, AI, ML, and security in high-reliability environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Pipeline #Python #ML (Machine Learning) #Reinforcement Learning #Security #Langchain #AI (Artificial Intelligence)
Role description
Position: Python AI Engineer
Experience: 10+yrs
Job Poster: Sai Vardhan Bolla
Role Responsibilities
• Build and maintain data pipelines for model training, evaluation, and research workflows.
• Design and run reinforcement learning environments for experimentation and training.
• Develop and scale model inference systems to enhance performance and reliability.
• Implement and maintain software development kits and integrations across frontier AI platforms.
• Construct agentic systems using modern large language model stacks, ensuring security and reliability.
• Collaborate directly with partners in forward-deployed settings on sensitive, high-impact use cases.
Requirements:
• Have strong relevant experience as a Python engineer with end-to-end ownership of projects.
• Have experience with large language models or agentic systems, such as LangChain or LangGraph.
• Have built or maintained data pipelines and machine learning infrastructure.
• Be familiar with reinforcement learning workflows or simulation environments.
• Have experience with distributed systems or scaling inference processes.
• Be comfortable operating in high-security and high-reliability environments.
Position: Python AI Engineer
Experience: 10+yrs
Job Poster: Sai Vardhan Bolla
Role Responsibilities
• Build and maintain data pipelines for model training, evaluation, and research workflows.
• Design and run reinforcement learning environments for experimentation and training.
• Develop and scale model inference systems to enhance performance and reliability.
• Implement and maintain software development kits and integrations across frontier AI platforms.
• Construct agentic systems using modern large language model stacks, ensuring security and reliability.
• Collaborate directly with partners in forward-deployed settings on sensitive, high-impact use cases.
Requirements:
• Have strong relevant experience as a Python engineer with end-to-end ownership of projects.
• Have experience with large language models or agentic systems, such as LangChain or LangGraph.
• Have built or maintained data pipelines and machine learning infrastructure.
• Be familiar with reinforcement learning workflows or simulation environments.
• Have experience with distributed systems or scaling inference processes.
• Be comfortable operating in high-security and high-reliability environments.
