Senior AI Engineer — Applied AI​/ML; Potential

• Rate: $25 – $35/hr
• Hours: 40 hours / week
• Experience: 5 - 10 years
• Location: Bangladesh | Brazil | Colombia + 6 more

Location India, Pune preferred

Sure Host is an early-stage hospitality technology company building new ways for short-term rental operators to run and grow their businesses.

Our technical and AI team is based in Pune. Our customer and product team is based in Des Moines, Iowa. We are building the company across both.

Pune is not a downstream engineering center  India-based technical leaders are company owners and help shape our architecture, technical direction, and strategy.

We are looking for a Senior AI Engineer who wants meaningful technical ownership without moving away from the work.

This is an individual-builder role.

You will work directly with our CTO and AI/architecture leadership to design systems, write production code, evaluate models, work through difficult failure modes, and make technical decisions while the product and architecture are still taking shape.

Sure Host is applying AI to real customer problems across video and image analysis, multimodal models, LLMs, agents, data, and workflow automation.

A successful demo is only the beginning.

The work includes deciding whether the system is accurate enough, fast enough, reliable enough, and economical enough to hold up when customers depend on it.

You will:

• Design and build production AI/ML systems using Python
• Work across LLMs, computer vision, multimodal models, and agentic workflows
• Evaluate when to use proprietary model APIs, open-source models, adaptation, or a different technical approach
• Design evaluation systems around accuracy, reliability, latency, cost, and known failure modes
• Build data pipelines, APIs, backend services, and the surrounding systems required to put AI into production
• Own systems from experimentation through deployment, monitoring, debugging, and iteration
• Work directly with technical leadership on architecture and technical tradeoffs
• Get close enough to customer and product problems to challenge requirements when a better technical answer exists
• Improve testing, observability, documentation, and production reliability
• Review code and help less-experienced engineers work through difficult technical problems

Your primary job is still to build.

This role is likely a fit for someone with 5–8+ years of software engineering experience and meaningful recent work building AI/ML systems.

You should bring strong Python and software engineering fundamentals, experience deploying AI into production, and enough depth to reason about the entire system around the model.

That may include experience with LLMs, multimodal models, computer vision, agents, model APIs, open-source models, evaluation systems, data pipelines, cloud infrastructure, APIs, and backend services.

More important than checking every box is evidence of technical judgment.

We are looking for someone who can work through questions such as:

Is the model actually good enough for the customer problem?

Where will it fail?

Should we change the prompt, the data, the model, the architecture, or the requirement?

What belongs in AI and what should remain deterministic software?

What happens to reliability, latency, and cost when this reaches production?

Early-stage experience, video or computer-vision work, workflow automation, or hospitality technology is useful but not required.

At many companies, becoming more senior means getting farther from the actual system.

That is not the path here.

Sure Host needs experienced builders who want to remain close to the code while participating more deeply in architecture, product…