Design and build scalable end-to-end enterprise systems, bridging advanced frontends, mobile applications, and high-performance async backends.
Deploy, manage, and optimize the production inferencing of large machine learning models (TensorFlow, PyTorch) and Large Language Models (LLMs) within Agentic AI architectures.
Define robust GraphQL integration contracts to seamlessly connect AI outputs with core enterprise services.
Translate ambiguous business needs into concrete technical architectures and actionable engineering tasks.
Lead cross-functional engineering teams through the full delivery lifecycle to drive measurable business ROI.
Manage stakeholder expectations regarding realistic AI capabilities, mitigating risks, and defining strict project boundaries.
Optimize system performance across compute, memory, and network layers, including low-latency LLM inference and cost-efficient resource utilization (GPU/CPU).
Design secure systems with robust authentication/authorization (OAuth, RBAC), data privacy safeguards, and defenses against AI-specific threats such as prompt injection and data exfiltration.
Design and build scalable, event-driven systems that can handle high traffic reliably, using best practices to ensure data consistency and safe processing (e.g., avoiding duplicate or lost events).
Responsibilities
Design and build scalable end-to-end enterprise systems, bridging advanced frontends, mobile applications, and high-performance async backends.
Deploy, manage, and optimize the production inferencing of large machine learning models (TensorFlow, PyTorch) and Large Language Models (LLMs) within Agentic AI architectures.
Define robust GraphQL integration contracts to seamlessly connect AI outputs with core enterprise services.
Translate ambiguous business needs into concrete technical architectures and actionable engineering tasks.
Lead cross-functional engineering teams through the full delivery lifecycle to drive measurable business ROI.
Manage stakeholder expectations regarding realistic AI capabilities, mitigating risks, and defining strict project boundaries.
Optimize system performance across compute, memory, and network layers, including low-latency LLM inference and cost-efficient resource utilization (GPU/CPU).
Design secure systems with robust authentication/authorization (OAuth, RBAC), data privacy safeguards, and defenses against AI-specific threats such as prompt injection and data exfiltration.
Design and build scalable, event-driven systems that can handle high traffic reliably, using best practices to ensure data consistency and safe processing (e.g., avoiding duplicate or lost events).
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Location : at HQ Rama 3Position : Technical LeadSalary Range : 60-100k
Job Description
Software Development (70%) | DevOps & RD (30%)
Full Stack Development
● Design, develop, and maintain high-quality applications across both front-end andback-end.
● Write clean, maintainable, and scalable code following software engineering bestpractices.
● Develop and maintain RESTful APIs and system integrations.
● Design and manage relational and NoSQL databases, including PostgreSQL, MySQL,and MongoDB.
● Utilize AI development tools to improve productivity, code quality, and developmentefficiency.Quality & Security
● Perform Unit Testing and participate in Code Reviews to ensure software quality.
● Develop applications with a Security by Design mindset, aligned with ISMS and PDPArequirements
.● Troubleshoot issues and continuously reduce technical debt.Architecture & Mentoring
● Collaborate with the team to design scalable software architecture supporting Cloud andDevSecOps initiatives.
● Contribute to architectural decisions and technical standards.
● Mentor junior developers through coaching and knowledge sharing.DevOps & Monitoring
● Support the Infrastructure team in implementing CI/CD pipelines.
● Assist with application monitoring and performance tracking.Research & Development
● Explore emerging technologies, AI solutions, and automation platforms (e.g., n8n) toimprove development workflows and engineering productivity.Documentation
● Create and maintain technical documentation, system diagrams, and developmentguidelines.
Qualifications
● Bachelor's degree in Computer Science, Computer Engineering, Information Technology,or a related field.
● At least 5 year of Full Stack development or DevOps experience.
● Hands-on experience developing applications with Flutter.
● Experience building or maintaining high-scale applications is a plus.
● Experience with CI/CD pipelines and DevSecOps practices
● Experience designing AI prompts, AI workflows, or AI Agents
● Experience with automation platforms such as n8n
● Knowledge of observability and application monitoring tools
● Hands-on experience using AI tools such as ChatGPT, Claude, GitHub Copilot, or similarAI-assisted development tools will be an advantage
Tech Stack / Tools
● React.js or Next.js
● Node.js
● Flutter & Dart
● PostgreSQL, MySQL, and MongoDB
● Microservices Architecture
● RESTful API Development
● SDLC, Unit Testing, and Code Review
● ISMS, PDPA, and Security by Design principles
● Strong analytical and problem-solving skills
Soft Skills & Competencies
● Growth mindset with a passion for continuous learning
● Strong sense of ownership and accountability
● Quality-first mindset with attention to detail
● Coaching-oriented leadership and collaboration skills
● Excellent communication and teamwork
● Passion for building scalable, secure, and reliable software
:: Working Days : Monday - Friday:: Working Time : 08:00 - 18 :00 :: Job DescriptionAs a Python Developer at [client], you will work closely with Data Scientists and Data
Engineers to create proof of concept products. Y ou will be part of a team that delivers exciting
data-oriented products and pushes to innovate solutions.
Responsibilities
● Creating proof of concepts product API
● Integrate machine learning models into Python codebase
● Researching new ways to improve existing architecture
● Create CICD pipelines to deploy the software
● Improve functionality of existing systems
:: Qualifications ● Expertise in Python● Experience with Python web frameworks such as Flask, Django, or FastAPI● Working knowledge of Docker● Working knowledge of databases technologies such as PostgreSQL, MongoDB,Elasticsearch● Knowledge of Kubernetes is a plus● Experience with Google Cloud Service and AWS● Problem-solving attitude● Understanding of best practices regarding security● Collaborative team spirit● Good command of English
Network Engineer (Implementation)Network & Security InfraC Not over 45K
1 positions G2
Permanent
[client] SYSTEMS (THAILAND) Co.,Ltd.
Mon - Fri (Some Sat. as stated in TTS-T’s calendar as of 2026)8.30-17.30 / Flexible Working Hours -
• Gather project requirements and provide technical consulting to customers
• Create technical project documents. (Micro design, Work-Plan, Final Document)
• Responsible for implementation-engineer role
• Control 3rd-party vendor to perform implementation as commitment
• Control Project Safety, Quality and Deliverable
• Proactive tracking and observe issue then define prevention and escalate to leader
• Provide logical problem serving in both technical and process until the project is completely done
Male or Female28 - 32 years oldBachelor's Degree in Computer Engineer, Computer Sceince, Information Technology. or related fields.
• Experience in network implementation/ Project engineer for 3-5 years
• Experience in Enterprise network design and implementation
• Hand on experience in LAN Network; Cisco based
• Hand on experience in Wireless Network; Cisco and Aruba Wireless Solution
• Having knowledge in Network Security component e.g. firewall, ACL
• Having knowledge in Public cloud e.g. AWS and Azure , will be an advantage
• Good command in English
• Good communication skill
• Excellent problem-solving, analytical including Root-cause identification skills
• Adaptability
• Problem solving
• Logical thinking
• Service mind
• Management Skill
• Good team player
• Flexible and multitaslking
• Cisco Certification is preferable (CCNA, CCNP)
