Open Role: AI Developer (India, Remote)

Build, fine-tune, and deploy ML/LLM-powered applications used in production workflows. You will connect software engineering with model development, LLM evaluation, RLHF concepts, data labeling strategy, and QA evaluation to improve model reliability and performance.

What You Will Do

Design and ship AI-driven features integrating ML models and LLMs into production systems
Develop inference services, APIs, batch pipelines, and real-time inference workflows
Build LLM evaluation and prompt evaluation harnesses (golden datasets, regression tests)
Partner with data labeling/QA teams on annotation guidelines, acceptance criteria, and training data quality checks
Run QA evaluation to measure accuracy, safety, and reliability; iterate on model performance improvement




Implement monitoring for drift, hallucinations, latency, and cost; ensure reproducibility across environments

Required Qualifications

Mid-to-senior experience building ML-enabled software products
Robust Python skills; hands-on with PyTorch or TensorFlow
Knowledge of NLP and/or computer vision; offline metrics and human-in-the-loop evaluation
Experience deploying with Docker and CI/CD; Kubernetes and AWS preferred

Compensation

Competitive hourly rate: $30–$50/hr (USD).

Apply with your resume and relevant project examples (deployments, evaluation methodology, RLHF/data labeling/LLM safety experience).

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