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About Company:
Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the "Intelligent Talent Cloud,"enabled companies to "spin up their engineering dream team in the cloud" by sourcing and managing vetted global talent.
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. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta
Job Title: Sr.Ruby Developer - Code Reasoning & Benchmark
Location: Pan India
Experience: 6+ yrs.
Employment Type: Contract to hire
Work Mode: Remote
Notice Period: - Immediate joiners
Job Description:
- 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
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