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Urgent! Artificial Intelligence Engineer Job | KGEN
AI Applications Engineer – Annotation Tooling and Data Operations
About KGeN/KAI
KGeN’s “KAI – Training & Evaluation” business taps a network of 1M+ verified experts across 60+ countries and 20+ languages, delivering specialised datasets across domains such as coding, STEM, healthcare, content, design, legal and general data collection and labeling power large‑language and multimodal AI systems.
KGeN is one the fastest growing startups with revenue growth to $50M+ ARR within 3 years.
Funded by the most marquee investors - Accel, Prosus, Sequoia, Nexus and Lightspeed.
Role Overview
You will design, develop, and deploy intelligent tooling and systems that enhance the efficiency of KAI’s GenAI operations.
Your work will focus on automating human-in-the-loop (HITL) pipelines, improving data labeling and evaluation workflows, and leveraging AI/ML to optimize annotation quality, routing, and workforce productivity.
This role is ideal for engineers passionate about combining applied ML, backend systems, and data infrastructure to improve real-world AI training at scale.
Key Responsibilities
1.
Build the Multimodal AI Annotation Platform
2.
Build Products that Convert Customer AI Needs into Solutions
3.
Integrate AI and MLOps Stack
Required Skills and Experience
Category
Requirements
Experience
4-8 years of experience in full-stack or AI application development, with 2+ years in ML or AI-powered systems
Programming
Strong in Python, Node.js, and cloud-native development (FastAPI, Flask, Express)
AI Tools
Experience integrating vision, audio, and NLP models (AWS Rekognition, OpenAI Whisper, Pyannote, Hugging Face Transformers, Vertex AI, etc.)
Data Annotation / QC Tools
Hands-on with Label Studio, CVAT, Diffgram, or similar OSS platforms; experience extending them via API/SDK
Cloud Platforms
Proficient in AWS or GCP (S3/GCS, Lambda/Cloud Functions, API Gateway, Cloud Run)
Front-end
Familiarity with React / Next.js / Retool / Streamlit for internal dashboards
Databases
PostgreSQL, DynamoDB, or Firestore; experience designing schema for annotation/QC metadata
DevOps
Docker, CI/CD, environment management, API versioning
AI Systems Thinking
Ability to design scalable, multimodal pipelines combining automation + human review
Soft Skills
Ownership, clarity in communication, user empathy, ability to lead cross-functional efforts
Nice-to-Have Skills
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What we offer
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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide
Real-time Artificial Intelligence Jobs Trends in Vapi, India (Graphical Representation)
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Great news! KGEN is currently hiring and seeking a Artificial Intelligence Engineer to join their team. Feel free to download the job details.
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