AI Engineer
Core
Architect and build foundational AI infrastructure and core application layers for a next-generation Smart Audit platform, transforming manual financial record analysis into automated risk scanning.
Role type
Senior IC AI Engineer (Full-Stack)
Builds
Proprietary machine learning models, MERN stack web application, custom GenAI retrieval systems, and MLOps pipelines.
Domain
Fintech / Legaltech / Enterprise SaaS
Deliverable
production ML models | product features | infrastructure
Required skills
Full-stack development (MERN), Deep learning (PyTorch/TensorFlow), LLM fine-tuning, Vector database design, ETL pipeline engineering, MLOps, Model evaluation frameworks
Preferred skills
Open-source LLM alignment (PEFT/LoRA), Distributed vector DBs, Custom NLP/OCR, Real-time data streaming (Kafka/WebSockets), Enterprise SaaS scaling
Technologies
MongoDB, Express.js, React.js, Node.js, Python, PyTorch, TensorFlow, Qdrant, Milvus, pgvector, Kafka, WebSockets
Responsibilities
Design, train, and fine-tune domain-specific LLMs for anomaly detection and compliance; Architect and develop core platform features using the MERN stack; Engineer low-latency retrieval systems and multi-agent workflows; Establish automated MLOps pipelines for data labeling and model serving; Architect custom ETL pipelines for unstructured enterprise data; Implement deterministic evaluation frameworks to benchmark model accuracy and mitigate hallucinations; Architect systems for data privacy, security, and explainable AI lineage.
Seniority
Senior, hands-on IC