๐ค AI Engineer – Applied AI/ML | SureHost | $15–$20/Hour ๐ป
๐ค AI Engineer – Applied AI/ML | SureHost | $15–$20/Hour ๐ป
๐ Are you an AI Engineer with strong Python skills and practical experience in machine learning, large language models (LLMs), or computer vision? SureHost is looking for an AI Engineer who wants to build real-world AI systems, solve customer problems, and gain experience across the full software development lifecycle.
๐ This opportunity is designed for engineers who want to go beyond building prototypes and help develop reliable, production-ready AI applications. The role starts as a full-time contractor position, with the potential to transition into a full-time employee role as the company grows.
๐ Job Details
๐ผ Job Title: AI Engineer – Applied AI/ML
๐ข Company: SureHost
๐ง๐ป Job Category: Engineering
๐ Job Type: Freelance / Full-Time Contractor
๐ต Rate: $15–$20 per hour
๐ฏ Experience: 3–5 years listed; the detailed description mentions 2–5 years
⏰ Workload: 40 hours per week
๐
Duration: Long-term
๐ Preferred Location: Pune, India
๐ Working Hours: IST/SLST time zone with full-day overlap
๐ Employment Potential: Opportunity to transition to a full-time employee role
๐ ️ Top Skills: Python, AI/ML
⚠️ Listing Status: Pending bank information
๐ Location Note: Pune, India is the preferred location, and the role requires full-day overlap with the specified time zone. Applicants based in Pakistan or other countries should confirm their eligibility and working-hour requirements before applying.
๐ข About SureHost
SureHost is an early-stage hospitality technology company developing tools to help short-term rental operators manage and grow their businesses.
๐ Its technical and AI team is based in Pune, India, while the customer and product team is based in Des Moines, Iowa, USA. The company brings these teams together to build technology around real customer needs.
๐ก As an early-stage business working with its first paying customer pilot, SureHost offers engineers the opportunity to contribute directly to technical architecture, product decisions, AI development, and production systems.
๐ ️ Key Responsibilities
The selected AI Engineer will help develop and maintain AI-powered systems and backend services.
๐ Build and improve AI and machine learning systems using Python.
๐ง Implement and test LLM, computer vision, multimodal AI, and agent-based workflows.
๐ Evaluate and integrate open-source AI models and third-party AI APIs.
๐ Create datasets, evaluation pipelines, and automated testing systems.
๐ Analyze AI-generated outputs to identify accuracy, reliability, and performance issues.
⚙️ Develop data-processing pipelines, APIs, and backend services.
๐ Convert successful AI experiments and prototypes into production-ready applications.
๐ Troubleshoot production issues and improve latency, reliability, and operating costs.
๐ค Collaborate directly with technical leadership on architecture and product decisions.
๐ฏ Understand customer requirements and translate them into technical solutions.
๐ฆ Take increasing ownership of AI systems from initial design through production deployment.
๐ Required Qualifications and Skills
Candidates should have a combination of software engineering and applied AI experience.
✅ Essential Qualifications
๐ง๐ป Approximately 2–5 years of experience in software engineering, machine learning engineering, or applied AI.
๐ Strong Python programming skills.
๐ค Practical experience with AI/ML frameworks, tools, and APIs.
๐ง Experience with LLMs, computer vision, or multimodal AI systems.
๐ Working knowledge of APIs, databases, Git, software testing, and cloud environments.
๐️ Ability to turn prototypes into maintainable software.
๐ A systematic approach to evaluating AI outputs and measuring model performance.
๐ฌ Strong problem-solving, analytical, and communication skills.
๐ฏ Interest in understanding the business and customer problems behind technical projects.
๐ Willingness to work across multiple layers of a software system.
⭐ Preferred Experience
๐ Deploying AI applications into production.
๐ฆพ Building AI agents and automated workflows.
๐ฅ Working with video-analysis or multimodal AI models.
๐งช Contributing to production machine learning systems.
⚡ Improving model performance, reliability, latency, and cost.
๐ What Makes This Opportunity Different?
This role offers more than implementing individual AI features. Engineers will have opportunities to understand how technical decisions affect the product and the customer experience.
You will work closely with experienced technical leaders and gain exposure to:
๐งช AI experimentation and implementation.
๐️ Software architecture and system design.
๐ฅ Product requirements and customer feedback.
๐ ️ Production deployment and debugging.
๐งฉ Technical decision-making and trade-offs.
๐ฆ End-to-end ownership of software systems.
๐ก Because SureHost is an early-stage company, requirements may evolve as the business learns from its customers. The successful candidate should be comfortable adapting to changing priorities and taking initiative.
⏰ Work Schedule and Employment Terms
๐ Engagement: Full-time contractor.
๐ Workload: Approximately 40 hours per week.
๐
Duration: Long-term opportunity.
๐ Location: Pune, India preferred.
๐ Schedule: Full-day overlap with the specified IST/SLST time zone.
๐ Future Opportunity: Potential transition to a full-time employee role as the company grows.
๐ต The advertised rate is $15–$20 per hour. Actual compensation arrangements and any future employment transition should be confirmed directly with the hiring company.
๐ค Who Should Apply?
This opportunity may suit software engineers, ML engineers, and applied AI developers who already have hands-on technical experience and want to broaden their skills.
✅ You may be a good fit if you enjoy:
๐ค Building practical AI applications.
๐ Testing models systematically.
๐ Solving production problems.
๐ง Understanding how software creates value for customers.
๐ Taking ownership of technical projects.
⚠️ Candidates who prefer a narrowly defined implementation role may find this position less suitable, as the company is looking for someone willing to take ownership and contribute to evolving technical and product decisions.
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