Software Engineer - Generative AI Applications

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Ho Chi Minh City, Ho Chi Minh
In-Office
Professional Services
The Role

About Kegmil 

  • Kegmil is a holistic solution provider of mission-critical Enterprise Systems, with a spike in Field Service Management software-as-a-service. We are a global team serving international clients, and strongly backed by Mitsubishi Electric (a world-leading manufacturer of products ranging from home electronics to satellite systems, headquartered in Japan)
  • Our cloud-based, AI-enabled Field Service Management solution is #1 amongst B2B clients in Southeast Asia and is adopted across various industries such as Elevator & Escalator, Data Center, Medical Equipment, Defence & Aerospace, Marine Offshore, etc.
  • Our offerings expand to Enterprise Resource Planning (ERP) systems integration and deployment - including Inventory Management Systems (IMS), HR Information Systems (HRIS), Customer Relationship Management (CRM), Procurement Systems and others

Location: Remote/ Hybrid

Job Type: [Full-time]

Job Summary

As an AI Developer at Kegmil, you will be instrumental in integrating generative AI technologies into our field service management software. This role involves developing new features, enhancing existing systems, and collaborating with stakeholders to implement AI solutions that improve both internal processes and client service capabilities.

Key Responsibilities:

  • Product Development:
    • Design and develop new AI-driven features to enhance the functionality and user experience of our field service management software.
    • Work closely with product managers and UX/UI designers to ensure seamless integration of AI technologies.
    • Perform thorough testing and validation of AI models to ensure their effectiveness and reliability in field settings.
  • Process Enhancement:
    • Analyze and identify opportunities within internal processes to implement AI for increased efficiency and accuracy.
    • Develop AI tools for automation, predictive analytics, and data-driven decision-making across the company.
  • Client AI Adoption:
    • Directly engage with clients to understand their specific needs and challenges related to AI adoption.
    • Customize and deploy AI solutions tailored to client requirements to enhance their operational efficiency and service quality.
    • Provide technical support and training to clients, ensuring successful adoption and utilization of AI tools.

Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven experience in software development with specific projects involving AI and machine learning.
  • Strong programming skills in Python, Java, or C++, and familiarity with AI development tools like OpenAI APIs, LangChain, CrewAI, AutoGen.
  • Experience with cloud platforms (AWS, Azure, GCP) and understanding of SaaS architecture are highly advantageous.
  • Excellent analytical and problem-solving skills, with the ability to manage complex systems and algorithms.
  • Strong communication skills, capable of effectively collaborating with both technical and non-technical stakeholders.

What We Offer:

  • Opportunity to work in a fast-growing tech company that is revolutionizing an industry.
  • A culture of innovation where your ideas and contributions directly impact the company and its customers.
  • A supportive and inclusive team environment that values personal growth and career development.
  • Competitive salary and benefits, flexible working conditions, and a chance to be part of a transformative journey.

Join Kegmil and help shape the future of field service management through cutting-edge AI solutions!

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The Company
36 Employees
Year Founded: 2018

What We Do

Kegmil is revolutionizing the way mission-critical facilities and assets are repaired and maintained via complex systems of people and processes. We are on a mission to empower millions of deskless field service professionals in Southeast Asia with superior technology and insights to supercharge their operational efficiency, service performance, and profitability.

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