Senior AI Engineer

Overview

Haptiq is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, Haptiq is supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, Haptiq enables organizations to scale operational excellence and generate alpha across complex enterprise environments.

About the Role

We’re looking for an innovative Senior AI Engineer to join our AI team and help design, prototype, and operationalize advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features from concept to production.

Key Responsibilities

* Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning systems.

* Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, and Haystack.

* Design, train, and evaluate machine learning models (supervised, unsupervised, and reinforcement learning) for real-world production use cases.

* Perform data preprocessing, feature engineering, and dataset curation to improve model performance and robustness.

* Experiment with model architectures, hyperparameter tuning, and optimization techniques to achieve performance targets.

* Implement model validation strategies, including cross-validation, A/B testing, and offline/online evaluation pipelines.

* Deploy, monitor, and maintain ML models in production, including handling model drift, retraining, and versioning.

* Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and decision support.

* Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector search workflows.

* Collaborate with Python Developers to define service interfaces, APIs, and operational requirements.

* Implement task decomposition, memory management, and tool-use strategies within agentic systems.

* Monitor AI system performance, operational risks, and prompt evaluation metrics.

* Stay current with emerging AI frameworks, architectures, and best practices in AI observability and evaluation.

Required Skills & Experience

* Strong Python development skills with an emphasis on clean, scalable, and modular code.

* Hands-on experience working with LLMs and agent frameworks.

* Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late interaction), and system design.

* Experience building multi-step agentic workflows and reasoning systems.

* Familiarity with AI performance metrics, model drift detection, and operational monitoring.

* Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.

* Experience with prompt optimization tools is a plus.

* A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.

* Strong foundation in machine learning fundamentals, including regression, classification, clustering, and model evaluation techniques.

* Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn for model development and experimentation.

* Bachelor’s degree in Computer Science or equivalent - preferred.

Why Join Us?

We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher.  We do work hard, but we also choose to have fun while doing it. 

The annual compensation range for this role is $120,000 - $150,000 CAD