About us

Insightful is a market-leading platform for employee productivity and workforce analytics. We process really big data, synthesize it into actionable insights, and ultimately provide a best-in-class, easy-to-use product that empowers enterprise customers to improve employee productivity, business processes, and overall staff well-being.

Job Description

We’re investing heavily in applied AI to unlock the next wave of customer value. As our first dedicated AI Engineer, you’ll research, prototype, and productionize machine-learning and generative-AI models that power new features and sharpen existing ones. You’ll be the bridge between cutting-edge research and real-world impact.

Built on a clean foundation and continuously updated, our current stack comprises Node.js (TypeScript), Elasticsearch, MongoDB, Kafka, and Redis, all running on Kubernetes (GKE).

Responsibilities:

Rapid prototyping & experimentation – design experiments and iterate quickly to validate ideas.
End-to-end model ownership – select, fine-tune, and evaluate classical ML, deep-learning, and LLM architectures best suited to each use case.
Performance & cost optimization – profile models, prune/quantise where it matters, and keep latency and cloud spend in check.
Integrate AI into Product – work within a cross-functional team, contributing to the seamless integration of AI components into the backend.
Write Clean Code - scalable, high-performance, and reusable code, with a strong focus on testing and maintainability.
Contribute Knowledge - Contribute to team knowledge sharing through code reviews, documentation, and mentorship
Tools Stack - Evaluate and select the most effective tools and technologies to enhance daily workflows

You are a great fit for this role, if you have:

Formal education in Computer Science or a closely related field 6+ years of traditional programming experience
Familiarity with RAG, Vector Databases, or similar technologies relevant for AI feature development.
Solid fundamentals in software design, architecture, and development best practices
Experience working with databases, preferably NoSQL
Fluency in English, both written and spoken

Bonus points:

Advanced use of AI-assisted coding tools (Copilot, Cursor) to accelerate development workflows.
Familiarity with one or more of Hugging Face, PyTorch, and TensorFlow.
Experience with ElasticSearch, MongoDB, or Kafka
A background in microservices architecture and distributed systems
Familiarity with front-end technologies such as Angular, HTML, and CSS