Job Description

About the Role:
A fast-growing software company in the AI-driven data visualization space is seeking an AI/ML Product Engineer to design, prototype, and implement intelligent product features. This role is fully remote and ideal for engineers who thrive on rapid iteration and user-focused AI solutions.

Key Responsibilities:

• Integrate Large Language Models (LLMs) via APIs or self-hosted solutions to power product features.

• Apply prompt engineering techniques and implement Retrieval-Augmented Generation (RAG) pipelines.

• Work with vector databases such as Pinecone, Qdrant, or Weaviate to support AI-driven functionality.

• Develop backend services and APIs using Python or Node.js (FastAPI / Express / TypeScript).

• Build AI-powered product features such as content generation, personalized recommendations, and workflow assistants.

• Work with structured data, analytics dashboards, and data pipelines to extract insights.

• Quickly prototype solutions with lo-fi wireframes, architectural sketches, or MVPs.

• Ensure secure handling of data, respecting privacy and access constraints.

• Collaborate with UX and design teams to integrate AI functionality seamlessly into interfaces.

• Evaluate technical feasibility, estimate effort, and prioritize features effectively.

Preferred Experience:

• Working with industrial data (telemetry, P&IDs, asset management systems).

• Knowledge of recommendation systems, scoring models, or personalization engines.

• Familiarity with containerization and cloud deployment (Docker, AWS, Azure, GCP).

• Frontend integration experience using TypeScript with React or Vue.

• Model fine-tuning, embeddings, and evaluation workflows.

• Experience with timeseries databases or observability tools.

Required Qualifications:

• 5+ years of experience in backend, AI, or full-stack product development.

• Proven ability to deliver MVPs rapidly and iterate in short development cycles.

• Strong problem-solving skills with focus on real user needs.

• Experience collaborating closely with product, design, and leadership teams.

• Ownership mindset: able to define, prototype, and bring AI solutions to production.

• Excellent communication skills; capable of explaining complex AI concepts in clear, practical terms.

Why This Role:
You’ll play a central role in defining and building AI-powered features that solve real-world problems. This position is ideal for engineers who thrive on experimentation, rapid prototyping, and creating impactful, user-centric AI products.