High-Growth AI Software Engineer

7 days ago

Madurai, Tamil Nadu, India beBeeSoftwareEngineer Full time US$ 1,80,000 - US$ 2,40,000
About High-Growth AI Software Engineering

We are a global talent platform that connects companies with remote software developers using AI-powered vetting and matching technology.

Our client is a leading provider of AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network.

Job Description:

As a High-Growth AI Software Engineer at our client, you will be working on a high-growth team responsible for building AI infrastructure and supporting the development of AI models. You will be part of a talented group of engineers who are passionate about delivering innovative solutions and pushing the boundaries of what is possible in the field of artificial intelligence.

  • Develop high-quality, scalable, and maintainable code in Ruby, ensuring that it meets the required standards and adheres to best practices.
  • Collaborate with cross-functional teams to design, develop, and deploy complex AI systems, including model training, fine-tuning, and deployment.
  • Work closely with data scientists and engineers to integrate machine learning models into production environments.
  • Contribute to the development of new features and functionality, including the creation of automated testing frameworks and benchmarking tools.
  • Participate in code reviews, ensuring that all code changes meet the required standards and are properly documented.

Requirements:

  • 5+ years of experience in software engineering, algorithm design, or systems-level programming.
  • Strong proficiency in Ruby with at least 4+ years of experience.
  • Proven ability to write clear, concise, and technically challenging algorithmic code.
  • Strong understanding of algorithmic complexity, performance optimization, and computational constraints.
  • Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.
  • Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.
  • Domains of Expertise: Successful candidates will demonstrate deep fluency in at least four of the following areas:
  • Core Data Structures: Trie, Segment Tree, Union Find
  • Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking
  • Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting
  • Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic
  • String Processing: Suffix Trees, Rolling Hashing, Pattern Matching
  • Advanced Topics: 2-SAT, Fast Fourier Transform (FFT), Linear Programming

Benefits:

  • Opportunity to work with a high-growth team on cutting-edge AI projects.
  • Chance to collaborate with experienced data scientists and engineers.
  • Professional development opportunities through training and mentorship.

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