Aqusag, LLC.
Sr. Python Engineer focused on Code Reasoning & Benchmarking
Aqusag, LLC., Union, New Jersey, us, 07083
Sr. Python Engineer focused on Code Reasoning & Benchmarking
Noida , India Experience Required:
5+ Years Location:
Remote Type:
Contractual We are seeking an experienced
Sr. Python Engineer focused on Code Reasoning & Benchmarking.
The role involves designing algorithmically rich coding problems, building evaluation systems, and developing comprehensive benchmarks that test reasoning, correctness, and performance. This is a highly technical position requiring deep expertise in algorithms, system-level problem solving, and software engineering. The ideal candidate will be a creative problem designer and a detail-oriented engineer who can deliver production-ready artifacts within a short timeframe. Key Responsibilities
Problem & System Design:
Create algorithmically challenging coding problems that evaluate reasoning, correctness, and efficiency in real-world software scenarios. Robust Development:
Write clean, modular, and production-quality Java code along with comprehensive test suites covering correctness, edge cases, and performance. Technical Specifications:
Draft clear, precise, and unambiguous specifications and problem statements with well-defined constraints and evaluation criteria. Algorithm Coverage:
Ensure strong representation across multiple domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design. Metadata & Documentation:
Apply structured metadata to all problems including taxonomy, difficulty levels, and domain relevance to maintain consistency and reproducibility. Quality Assurance:
Participate in peer reviews and validation cycles to maintain high engineering and system integrity standards. Deliverables:
Provide well-documented, maintainable, and scalable outputs ready for integration into production environments or downstream applications. Requirements
Experience:
5+ years in software engineering, algorithm design, or systems-level programming. Language Proficiency:
Strong command of python
(4+ years)
with ability to implement high-performance solutions. Algorithmic Strength:
Solid understanding of
complexity analysis, optimization, and computational constraints . Test Engineering:
Hands-on experience with test automation, benchmarks, or large-scale evaluation systems. Tooling Knowledge:
Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML). Domain Expertise
Candidates should demonstrate 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, FFT, Linear Programming
#J-18808-Ljbffr
Noida , India Experience Required:
5+ Years Location:
Remote Type:
Contractual We are seeking an experienced
Sr. Python Engineer focused on Code Reasoning & Benchmarking.
The role involves designing algorithmically rich coding problems, building evaluation systems, and developing comprehensive benchmarks that test reasoning, correctness, and performance. This is a highly technical position requiring deep expertise in algorithms, system-level problem solving, and software engineering. The ideal candidate will be a creative problem designer and a detail-oriented engineer who can deliver production-ready artifacts within a short timeframe. Key Responsibilities
Problem & System Design:
Create algorithmically challenging coding problems that evaluate reasoning, correctness, and efficiency in real-world software scenarios. Robust Development:
Write clean, modular, and production-quality Java code along with comprehensive test suites covering correctness, edge cases, and performance. Technical Specifications:
Draft clear, precise, and unambiguous specifications and problem statements with well-defined constraints and evaluation criteria. Algorithm Coverage:
Ensure strong representation across multiple domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design. Metadata & Documentation:
Apply structured metadata to all problems including taxonomy, difficulty levels, and domain relevance to maintain consistency and reproducibility. Quality Assurance:
Participate in peer reviews and validation cycles to maintain high engineering and system integrity standards. Deliverables:
Provide well-documented, maintainable, and scalable outputs ready for integration into production environments or downstream applications. Requirements
Experience:
5+ years in software engineering, algorithm design, or systems-level programming. Language Proficiency:
Strong command of python
(4+ years)
with ability to implement high-performance solutions. Algorithmic Strength:
Solid understanding of
complexity analysis, optimization, and computational constraints . Test Engineering:
Hands-on experience with test automation, benchmarks, or large-scale evaluation systems. Tooling Knowledge:
Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML). Domain Expertise
Candidates should demonstrate 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, FFT, Linear Programming
#J-18808-Ljbffr