Job Description

Job Title

Senior AI/ML Engineer

Job Summary

We are seeking a Senior AI/ML Engineer with a strong focus on backend development, 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 Senior 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 ML engineers and AI engineers, and stakeholders to deliver reliable, scalable, and maintainable systems that power analytics, AI, and ML-enabled use cases.

Job Specification

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

Optimize database queries, data processing pipelines, and system performance for scalability

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

3–4 years of experience in AI/ML engineering, data engineering, or machine learning model development

Hands-on experience building and maintaining production-grade AI/ML pipelines, backend systems, or data platforms

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

Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

Proficiency in backend development using frameworks suitable for AI/ML services (e.g., FastAPI, Flask, or equivalent)

Experience integrating AI/ML services, outputs, or large language models (LLMs) into applications

Experience with agentic frameworks such as Agno or LangChain for AI-driven applications

DevOps & Delivery

Familiarity with CI/CD pipelines, version control, and release processes

Experience deploying, managing, and operating applications on cloud platforms such as Amazon AWS or equivalent

Ability to troubleshoot production issues and improve system reliability and performance

Client & Stakeholder Communication

Excellent client-facing communication skills

Strong skills in translating business, data, and AI requirements into technical implementation

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

Soft Skills

Strong communication and collaboration skills

Eagerness to learn and work across technologies

Comfortable working in a fast-paced, client-driven environment

Strong sense of ownership and accountability

Commitment to writing high-quality, reliable software

Candidates who possess a combination of these qualifications, are passionate about software development, and are eager to contribute to our dynamic team are encouraged to apply.

Location

Nepal (Office-based)

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.