Modular AI Development Specialist
3 hours ago
Artificial Intelligence Solutions DeveloperKGeN has developed a network of 1M+ verified experts across 60+ countries and 20+ languages, delivering specialized datasets across various domains such as coding, STEM, healthcare, content, design, legal and general data collection to power large-language and multimodal AI systems.We are seeking an experienced developer to design, develop, and deploy intelligent tooling and systems that enhance the efficiency of our 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.Main ResponsibilitiesBuild a Modular Annotation SystemArchitect and develop a modular annotation system supporting images, audio, video, and text.Integrate open-source frameworks with custom logic for quality control, automation, and AI-assist.Implement APIs and SDKs to manage data ingestion, task creation, and result exports.Create a human-in-the-loop QC pipeline combining auto-validation and reviewer workflows.Develop ML backend services for AI-assisted labeling using existing or custom models.Translate Customer Needs into Product WorkflowsWork directly with customers to translate AI training or labeling needs into product workflows using the annotation platform.Define ontology templates, QC workflows, and model integration plans for each customer.Prototype AI-assisted workflows quickly and iterate based on feedback.Manage the end-to-end lifecycle: requirements – design – implementation – validation – delivery.Connect annotation outputs with downstream model pipelines (training, fine-tuning, retraining).Integrate evaluation metrics and feedback loops into product dashboards.Automate end-to-end flow from data labeling – model training – validation – retraining.Optimize compute, cost, and throughput across AI workloads.RequirementsExperience: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).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.Desirable QualitiesOwnership,clarity in communication,user empathy,ability to lead cross-functional efforts.],
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