Senior AI Developer

1 day ago

Nagpur, Maharashtra, India beBeeSoftware Full time US$ 1,00,000 - US$ 1,20,000
Job Title: Senior Go Software Engineer

About Our Company:

We accelerate the advancement and deployment of powerful AI systems.

We help customers in two ways:

  • Working with top AI labs to advance model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, and STEM knowledge;
  • Leveraging this work to build real-world AI systems that solve mission-critical priorities for companies.

Our growth is powered by our talent cloud – a pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications.

Their AI-powered platform matches and manages talent, generates high-quality human and synthetic data, and accelerates workflows for model and agent evaluations, fine-tuning, and building AI applications.

As a Senior Go Software Engineer, you will develop and maintain complex AI systems using Go programming language.

Responsibilities:

  • Design and develop efficient algorithms and data structures for large-scale AI systems;
  • Write clean, concise, and technically challenging code in Go;
  • Collaborate with cross-functional teams to integrate AI systems with other technologies;
  • Contribute to the development of new features and tools to improve AI system performance and scalability.

Requirements:

  • 5+ years of experience in software engineering, algorithm design, or systems-level programming;
  • Strong proficiency in Go 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;
  • 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;

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