Senior AI / ML Engineer

The Role

You are a hands-on AI specialist responsible for building the models, integration pipelines, and automation systems. From OCR-based document intelligence for financial institutions to WhatsApp AI assistants for retail enterprises and KYC automation for banks, you will design and deliver the AI components that enable our platforms to operate in production.

You'll work closely with the Lead AI Engineer and take end-to-end ownership of assigned AI workstreams - from solution design through deployment, monitoring, and ongoing improvement.

What You Will Build

Document Processing & OCR

Build and maintain AI-driven document processing pipelines, including integrations with platforms such as AllXtract, AWS Textract, and Azure Form Recognizer. Your work will cover structured data extraction from variable-quality PDFs and images, document classification, and accuracy benchmarking against client-specific document formats.

KYC & Compliance Automation

Develop automated KYC onboarding workflows, including document ingestion, identity field extraction, cross-reference validation, risk scoring, compliance checklist generation, and the production of auditable outputs for regulatory review.

NLP & Text Intelligence

Design and implement NLP pipelines for intent classification, entity extraction, sentiment analysis, and query understanding, forming the intelligence layer behind RisingPoint's chat and voice AI systems.

Voice AI Implementation

Implement voice AI capabilities, including STT/TTS integrations, LLM-driven dynamic response generation, call flow design, interruption handling, and post-call CRM system integration.

Model Evaluation & Monitoring

Establish evaluation and monitoring frameworks to track production accuracy, detect model drift, manage prompt versioning, and produce AI quality and performance reports for client deliverables.

What We're Looking For

Required Experience & Skills

• 5+ years of experience in AI/ML, building and operating production systems with real users, real SLAs, and real on-call responsibility
• Strong Python expertise, including NumPy, Pandas, Scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow)
• Hands-on LLM API experience, working with OpenAI, Anthropic, or Gemini beyond simple API calls - including prompt engineering, function calling, RAG, and context management
• Document AI / OCR experience, processing PDFs or images to extract structured data in a production environment
• Production NLP experience, such as intent classification, entity recognition, or text classification
• Cloud AI service experience with AWS or Azure (e.g. SageMaker, Textract, Lambda, Azure Form Recognizer, Cognitive Services)
• Comfortable managing multiple parallel workstreams, each with differing client requirements and delivery timelines

Nice to Have

• AWS Machine Learning - Specialty certification
• Experience fine-tuning domain-specific models using Hugging Face Transformers
• LangChain or LlamaIndex experience, including RAG pipelines or agent-based systems
• Voice AI experience with Deepgram, ElevenLabs, Whisper, or equivalent STT/TTS platforms
• Hands-on experience with AllXtract, AWS Textract, or Azure Form Recognizer
• Shopify product catalogue or eCommerce platform API integration experience