Fullstack Engineer | 2025CBIN12002/28921 at Mindverse Consulting Services Limited

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, ReactJS, C/C++, Java, Rust, Go, Software Engineering, AI Systems, Code Evaluation, Debugging, Software Architecture, Communication Skills, Cross-Functional Collaboration, Dataset Creation, Benchmarking

Industry

IT Services and IT Consulting

Description

This is a remote position. Job Summary Customer is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. Job Responsibilities · Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. · Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. · Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. · Build agents that can verify the quality of the code and identify error patterns. · Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them · Design verification mechanisms that can automatically verify a solution to a software engineering task. Essential Skills Required Skills · Several years of software engineering experience (+5 years), including2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). · Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. · Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. · Excellent oral and written communication skills for clear, structured evaluation rationales. Other Details · Work fully remotely, from the following locations: US, Canada, Australia or Western Europe (UK, France, Germany, Switzerland, Singapore, Denmark, Finland, Netherlands, Sweden, Iceland, Italy, Austria, Ireland, Norway) · Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) · Type: Contractor (no medical/paid leave) · Duration: 1 month (starting next week; potential extensions based on performance and fit) Background Check required Hiring Process Selection criteria involves: 1. ICF (Candidate Interest Form): 2. Vetsmith Automated Coding Challenge (30–45 mins): 3. AI Interview on Qode (20 mins) after passing the coding challenge. LinkedIn Requisite- Profile authenticity includes Date of LinkedIn profile creation, No of connections, Recent activities will be checked. Ensure LI profile is updated & LI link is mentioned on the resume IMP:- The submited resume has to be in PDF format only.

Responsibilities

The role involves creating datasets for training and benchmarking AI models, curating code examples, and refining AI-generated code for efficiency and reliability. Additionally, the engineer will collaborate with cross-functional teams to enhance AI-driven coding solutions.