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Senior Python Developer | 2025CBIN12001/28893

Mindverse Consulting Services
Full-time
Remote
United Kingdom
Technology & Development

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Job Summary<\/b>
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Customer is one of the world’s fastest\-growing AI companies accelerating the advancement and deployment of powerful AI systems.
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They help customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real\-world AI systems that solve mission\-critical priorities for companies.
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We’re looking for a world\-class Python Developer — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle.
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This is a pure coding role — where you’ll tackle challenging engineering problems, design scalable systems, and collaborate with leading AI research teams.
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Job Responsibilities<\/b>
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·        <\/span><\/span><\/span><\/span>Build, test, and optimize high\-performance Python systems used in large\-scale AI and data pipelines.
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·        <\/span><\/span><\/span><\/span>Design and maintain modular, clean, and production\-ready Python codebases.
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·        <\/span><\/span><\/span><\/span>Collaborate with cross\-functional teams (data, infra, and research engineers) to deliver reliable backend components.
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·        <\/span><\/span><\/span><\/span>Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
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·        <\/span><\/span><\/span><\/span>Stay current with modern Python tools, frameworks, and best practices.
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Essential Skills<\/b>
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Required Qualifications
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·        <\/span><\/span><\/span><\/span>Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
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·        <\/span><\/span><\/span><\/span>4+ years of professional experience writing Python in production environments.
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·        <\/span><\/span><\/span><\/span>Expert\-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
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·        <\/span><\/span><\/span><\/span>Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
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·        <\/span><\/span><\/span><\/span>Deep understanding of data structures, algorithms, and problem\-solving at scale.
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·        <\/span><\/span><\/span><\/span>Experience with system design, clean architecture, and performance optimization.
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·        <\/span><\/span><\/span><\/span>Working level Proficiency in ML\/DS
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Preferred Qualifications
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·        <\/span><\/span><\/span><\/span>Strong experience with distributed systems, APIs, or data processing pipelines.
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·        <\/span><\/span><\/span><\/span>Familiarity with cloud environments (AWS, GCP, or Azure) and CI\/CD workflows.
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·        <\/span><\/span><\/span><\/span>Experience in open\-source contributions or building developer tools.
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·        <\/span><\/span><\/span><\/span>Comfort working in fast\-paced, research\-driven environments.
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Bonus
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·        <\/span><\/span><\/span><\/span>Recognized performance in Kaggle, Codeforces, or ICPC\/TopCoder contests.
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·        <\/span><\/span><\/span><\/span>Deep curiosity for performance tuning, scalability, and elegant code design.
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Other Details<\/b>
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·        <\/span><\/span><\/span><\/span>Work fully remotely, from anywhere.
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·        <\/span><\/span><\/span><\/span>Collaborate with world\-class AI labs and frontier research companies.
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·        <\/span><\/span><\/span><\/span>Tackle real engineering challenges with high autonomy and ownership.
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Commitment: Minimum 20 hours\/week with 4\-hour PST overlap (options: 20, 30, or 40 hrs\/week).
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Type: Contractor (no medical\/paid leave).
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Duration: 2 months  <\/span>(start date: immediately).
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Background Check required<\/b>
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Hiring Process<\/b>
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Interview Process :\-
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Technical Interview (60 mins): Deep discussion of Python problem\-solving, architecture, and system design.
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Onboarding & Culture Fit (15 mins)
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