Senior AI Engineer

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About Company

The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence.

Position Overview

You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance.

Role & Responsibilities

• Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence.
• Translate product problems into scalable ML systems and GenAI workflows.
• Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations.
• Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning.
• Implement feedback loops that continuously learn from user actions and corrections.
• Optimize performance and latency of GenAI systems in high-throughput transactional environments.
• Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts.
• Lead, hire, mentor, and grow a team of ML and GenAI engineers.
• Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features.
• Evangelize responsible AI practices and an experimentation culture across the organization.

Must have Criteria

• 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI.
• Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
• Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
• Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow.
• Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs.
• Expertise with OCR/NLP tools for semi-structured document extraction and parsing.
• Ability to work with unstructured, noisy financial data at scale.
• End-to-end ownership of ML systems from research through deployment and monitoring.

Nice to Have

• Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr.
• Experience with chunking strategies, prompt templates, and hybrid search in RAG systems.
• Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting.
• Knowledge of graph-based ML or probabilistic models for complex transaction flows.
• Past experience building AI systems in an early-stage startup or as a founding team member.
• Fintech domain expertise.

What We Offer

• Foundational role where you define how AI evolves at the company.
• High impact on real-world financial decisions requiring accuracy and auditability.
• Ownership of deep ML and cutting-edge GenAI problems.
• Product-first, collaborative culture that values high agency and technical depth.