Software Engineer – LLM Post-Training & Evaluation (Fullstack)

Company Overview

Ethara AI is a leading AI and data services company in India, specializing in building high-quality, domain-specific datasets for Large Language Model (LLM) fine-tuning. Our work bridges the gap between academic learning and real-world AI applications, and we are committed to nurturing the next generation of AI professionals.

Job Summary

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.

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 languages and frameworks.
• Maintain consistency, quality, and efficiency in code-focused deliverables.
• Engage with leads and Project Managers (PMs) to meet productivity benchmarks (8–9 working hours daily).
• Stay updated with AI development standards and contribute to refining internal engineering processes.

Qualifications

• Educational: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 2–4 years of experience in a software development role (Fullstack preferred).
• Technical Skills:
  • 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.
• Excellent written communication and logical reasoning abilities.
• Comfortable working from the office in Gurgaon and committing to 8–9 hours of productive work daily.

Preferred Skills

• Prior exposure to AI/LLM environments or code-based evaluation tasks is a plus.

Experience

• 2–4 years of relevant experience in software development with a focus on Fullstack engineering.

Environment

• The position is based in Gurgaon, requiring in-office attendance and commitment to a structured 8–9 hour workday.

Salary

• Not specified.

Growth Opportunities

• Be part of a high-growth team at the forefront of LLM post-training development with competitive compensation and performance-driven growth opportunities.

Benefits

• Structured workflow, collaborative culture, and technically challenging projects.

Please share your resume at hr@greenridertech.com with the subject line: Application – Software Engineer (LLM Post-Training).