Highly Skilled Software Professional Wanted

1 day ago

Nagpur, Maharashtra, India beBeeSoftwareEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About Company:

Founded in 2018, a Palo Alto–based AI infrastructure and talent platform helps companies connect with remote software developers using AI-powered vetting and matching technology.

In recent years, they have evolved to support 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. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta

Job Title: Software Engineer - Code Reasoning & Benchmark

Location: Pan India

Experience: 6+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Job Description:

Key Responsibilities:
  • Develop clear, concise, and technically challenging algorithmic code.
  • Design and implement efficient algorithms and data structures.
  • Optimize system performance and computational constraints.
  • Collaborate with cross-functional teams to drive project success.

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 work effectively in a fast-paced environment.
  • Excellent communication and problem-solving skills.

Benefits:

  • Opportunity to work on cutting-edge AI infrastructure projects.
  • Chance to collaborate with top AI researchers and engineers.
  • Competitive compensation package.
  • Flexible work arrangements and professional growth opportunities.

Preferred Skills:

  • Experience with test automation, benchmark creation, or complex systems evaluation.
  • Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.
  • 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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