Job
Description
About Us Green Rider Technology LLP is a fast-scaling engineering firm focused on post-training development and evaluation of large language models (LLMs). Our team of 250+ skilled engineers has contributed over 300,000 productive hours to advanced AI model pipelines, specializing in post-training workflows such as Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Evaluation. We work at the intersection of fullstack engineering and AI alignment, focusing on complex coding workflows, instruction-following validations, truthfulness assessments, and functional code verification across diverse tech stacks. Our strength lies in delivering technically sound and production-ready solutions with high operational efficiency. Location: Gurgaon (Work From Office) Employment Type: Full-Time Experience Required: 2–3 Years Open Roles: Software Engineers (Fullstack) Role Overview We are looking for experienced Fullstack Software Engineers who can contribute to post training AI development workflows with strong proficiency in coding tasks and evaluation logic. This role involves working on high-impact AI infrastructure projects, including but not limited to: Code generation, validation, and transformation across Python, Java, JavaScript, and modern frameworks Evaluation and improvement of model-generated code responses Designing and verifying web application features, APIs, and test cases used in AI model alignment Interpreting and executing task specifications to meet rigorous quality benchmarks Collaborating with internal teams to meet daily throughput and quality targets within a structured environment Key Responsibilities Work on fullstack engineering tasks aligned with LLM post-training workflows Analyze model-generated outputs for correctness, coherence, and adherence to task requirements Write, review, and verify application logic and coding prompts across supported language and frameworks Maintain consistency, quality, and efficiency in code-focused deliverables Engage with leads and PMs to meet productivity benchmarks (8–9 working hours daily) Stay updated with AI development standards and contribute to refining internal engineering processes Technical Skills Required Proficient in one or more backend languages: Python, Java, Node.js Strong experience in frontend technologies: React.js, HTML/CSS, TypeScript Familiarity with REST APIs, testing frameworks, and Git-based workflows Ability to analyze, debug, and rewrite logic for correctness and clarity Good understanding of model response evaluation and instruction-based coding logic Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 2–3 years of experience in a software development role (Fullstack preferred) Prior exposure to AI/LLM environments or code-based evaluation tasks is a plus Excellent written communication and logical reasoning abilities Comfortable working from office in Gurgaon and committing to 8–9 hours of productive work daily Why Join Us Be part of a high-growth team at the forefront of LLM post-training development Work on real-world AI engineering problems with production-grade impact Competitive compensation with performance-driven growth opportunities Structured workflow, collaborative culture, and technically challenging projects How to Apply Please share your resume at team-hr@greenridertech.com with the subject line: Application – Software Engineer (LLM Post-Training) Job Type: Permanent Pay: ₹70,000.00 - ₹80,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Fullstack Software Engineers: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person
