AI/ML Engineer

  • Industry Other
  • Category Engineering
  • Location Lalitpur District, Nepal
  • Salary Not Disclosed
  • Expiry date Aug 16, 2026 (6 days left)
Job Description

Job Summary:

We are seeking a AI/ML Engineer with a strong focus on backend development, data engineering, and AI/ML systems. This role is ideal for an engineer who enjoys working close to data—building robust APIs, designing scalable data models, integrating AI-powered outputs into production systems, and developing AI-driven applications. The ideal candidate is hands-on, analytical, and comfortable working in a data-heavy and AI-driven environment using platforms such as PostgreSQL, Python-based backend frameworks like FastAPI, and cloud deployment on Amazon AWS.


Job Description:

As a AI/ML Engineer, you will design, develop, and maintain backend services, data platforms, AI/ML pipelines, and supporting web applications. You will collaborate closely with data engineers, ML engineers, AI engineers, and stakeholders to deliver reliable, scalable, and maintainable systems that power analytics, AI, and ML-enabled use cases.


Job Specification:

  • Design efficient and scalable data models for transactional, analytical, and AI/ML workloads
  • Develop and maintain AI/ML pipelines, integrating model outputs into backend services and applications
  • Design, develop, and maintain backend services and APIs to support AI/ML applications
  • Integrate AI/ML tools, including agentic frameworks such as Agno or LangChain, into backend services and applications
  • Build and enhance web applications that consume backend APIs and AI-driven data products, with minimal frontend requirements
  • Deploy, manage, and monitor AI/ML applications and data services on cloud platforms such as Amazon AWS or equivalent
  • Collaborate with cross-functional teams to translate business, data, and AI requirements into technical solutions
  • Write clean, maintainable, and production-ready code, with proper documentation
  • Participate in code reviews, technical discussions, and continuous improvement initiatives


Required Skills and Expertise:

Education

  • Bachelor’s degree in Computer Science, Engineering, or a related field


Experience

  • 3 years of experience in relevant role
  • Hands-on experience building and maintaining production-grade AI/ML pipelines, backend systems, or data platforms
  • Practical experience with relational databases, SQL, and data modeling
  • Experience integrating AI/ML outputs into production applications
  • Experience with agentic frameworks and AI-enabled web applications such as Agno or LangChain is highly preferred


Technical Skills

  • Proficiency in backend development using frameworks suitable for AI/ML services (e.g., FastAPI, Flask, or equivalent)
  • Strong knowledge of relational databases including SQL design, indexing, and query optimization
  • Experience integrating AI/ML services, outputs, or large language models (LLMs) into applications
  • Experience developing web applications that consume backend APIs and AI services
  • Understanding of scalable system architecture, performance optimization, and distributed data processing
  • Experience with agentic frameworks such as Agno or LangChain for AI-driven applications
  • Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases for enhancing LLM performance


Nice to Have:

  • Experience working with US healthcare clients or healthcare data
  • Additional experience in data engineering, analytics platforms, or AI pipelines
  • Exposure to cloud-based AI workflows and AI application frameworks


What We Offer

  • Employee Health Insurance Plan – Because your well-being truly matters.
  • Office-Provided Healthy Lunch – Nutritious meals to keep you energised and focused at work.
  • Complimentary Beverages – Coffee and tea available throughout the day.
  • Five-Day Work Week – Maintain a healthy work-life balance with a structured Monday-to-Friday schedule.
  • Company Outings & Team Events – Regular activities that strengthen collaboration and team spirit.
  • Great Infrastructure & Recreational Areas – Work in a modern office with spaces designed to relax, recharge, and collaborate.
  • Celebrations & Recognition Milestones – We celebrate achievements, milestones, and the people who make them possible.
  • Career Growth Opportunities – Work alongside experienced professionals on impactful and exciting projects that help you grow your expertise.
  • Exciting Interest-Based Clubs – Connect, unwind, and grow with communities that match your interests.


Application Procedure:

Interested candidates may apply through Easy Apply.


If you’re shortlisted, our team will get in touch with you and guide you through the next steps.

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