AI Engineer

Seamfix Limited is on a quest to within the next 9 more years (in line with our 10 year strategic objectives) to deliver value to 1 billion end customers, empower 10 thousand businesses and build 1 thousand leaders.

In Seamfix, we are extremely aware that there are endless possibilities if we can be one united people that speak the same creative language, create with the same image or picture of success and work towards the same end goal hence, we are looking for one who is a team player, who will resonate deeply with our vision, speaks the same creative language and desires same or even bigger impact.

We help organizations to acquire and service a lot of customers digitally by seamlessly automating their onboarding and service delivery processes, so that they can be more productive, make their customers happy and boost their revenues. Our identity and essence is solving problems in a very seamless manner in line with our name; Seamfix is coined from Seamless fixing of problems.

• Work with existing production models written in C++ and deployed as SDKs, Android libraries, and REST-based services.
• Develop, deploy, and maintain AI/ML models across cloud, SDK, and mobile environments.
• Build and manage demo applications (e.g., Streamlit apps) that interact with our AI models via REST APIs.
• Create end-to-end machine learning pipelines ensuring continuous training, monitoring, and performance improvement.
• Integrate and deploy AI agents using open-source LLMs and frameworks such as MCP for extensible tool-based workflows.
• Ensure stability, reliability, and ongoing maintenance of production AI products.



• Identify, acquire, and interpret diverse data sources.
• Clean, merge, and transform datasets to support AI model development.
• Create meaningful visualizations and analytical summaries for decision-making.
• Lead end-to-end data exploration processes and communicate insights to technical and non-technical stakeholders.

• Design and implement IT systems that enable the secure collection and processing of personal data.
• Use approved tools and strategies to gather and manage PII data.
• Implement robust security measures to protect personal data throughout its lifecycle.
• Store collected personal data in secure systems with proper access controls.
• Handle transfer of personal data between organizations securely and in compliance with relevant regulations.

• Strong proficiency in Python, with experience using ML and data libraries such as OpenCV, Matplotlib, Pandas, etc.
• Experience working with major ML frameworks like TensorFlow or PyTorch.
• Basic working knowledge of C++ environments is a plus, especially for SDK/model debugging.
• Experience working with Large Language Models (LLMs) for embeddings, text generation, or integrating LLMs into automated pipelines.
• Familiarity with Model Context Protocol (MCP) for building extensible AI workflows is an added advantage.
• Experience building internal dashboards, prototypes, or tools using Streamlit is a strong plus.
• Ability to document technical requirements, system specifications, and workflow processes.
• Good knowledge of GitHub/GitLab for version control, CI/CD, and collaborative development.
• Strong analytical, communication, and problem-solving skills.

• Competitive pay
• Performance bonuses
• Mid-year grants
• Stock Option
• Hybrid Work Model
• Top-notch work tools
• Work with brilliant minds