Working time: Commit at least 4 hours/day including 2-3 hours during business hours. Hours may increase to 6–8 hours/day depending on project needs.
Working location: remotely.
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WHO WE ARE
The Delivery Partner Network connects engineers with our global projects on a flexible, hourly/part-time basis. We focus on rapid project kick-offs and offer opportunities to work in the global market with high flexibility
By joining the Delivery Partner Network, you will become part of our pre-vetted talent community and be considered for future project opportunities that align with your skills and availability. As each opportunity is subject to specific project needs, the timing of a suitable assignment may vary. Our team will reach out to discuss the details and confirm your availability when a relevant opportunity arises.
WHAT WE DO
- Design, estimate and implement agentic AI workflows, integrating LLMs with APIs, tools, and external systems using frameworks such as LangChain, LlamaIndex, or Semantic Kernel
- Collaborate with clients and business teams to clarify requirements, provide technical consultation, and perform estimations to design feasible AI solutions aligned with business and technical objectives
- Collaborate with engineering teams to manage data pipelines including data ingestion, preparation, and labeling when applicable and implement, fine-tune, optimize, and deploy ML/LLM models into production
- Drive AI architecture decisions, ensuring scalability, reliability, and performance in production environments
- Establish measurable standards of AI output quality (accuracy, consistency, factuality, relevance) and ensure delivery meets or exceeds the performance metrics committed to clients
- Implement model validation and evaluation frameworks, including automated testing, human-in-the-loop feedback, and continuous performance monitoring to guarantee predictable outcomes
- Stay current with emerging AI, LLM, and agentic technologies, evaluating their applicability to business use cases
- Mentor and inspire a high-performing AI engineering team, fostering innovation, responsibility, and excellence
- Oversee MLOps and CI/CD pipelines to enable stable releases and rapid iteration cycles
WHO YOU ARE
# Experience Requirements
Mandatory Skills
- MUST: At least 6 years of experience as an AI Engineer or in a similar role, with hands-on experience deploying AI solutions to production
- Hands-on experience with Generative AI (e.g., RAG, Vector Databases, LLM Fine-tuning, Stable Diffusion, Agentic AI Systems)
- Skilled in one or more technical domains: Computer Vision, NLP, Machine Learning, Audio Processing, Deep Learning
- Strong Python skills with solid software engineering fundamentals and practical experience in deploying and maintaining ML/AI systems in cloud environments (AWS / GCP / Azure)
- Solid understanding of MLOps workflows (CI/CD for ML, model versioning, retraining, monitoring)
- Familiar with data engineering concepts
- Proven experience in bidding, solution consulting, or pre-sales for AI-related projects
Desired Skills:
- Experience in model optimization for large-scale or LLM-based applications
- Experience in Agile leadership, mentoring engineers, and driving product excellence.
#Skill requirements
- Excellent English communication skills, both written and verbal
- Strong client-facing consulting and stakeholder communication abilities that can bridge technical and business discussions
- Outstanding teamwork and collaboration skills
- Proven ability to prioritize tasks and allocate work effectively in dynamic environments
- Sharp critical thinking and logical reasoning
- Strong problem-solving and decision-making capability
#Attitude Requirements
- Customer-centric mindset with a focus on delivering business value
- High adaptability and comfort with change or ambiguity
- Continuous learning attitude, with curiosity toward new AI technologies and practices
- Ownership-driven, proactive, and results-oriented in execution
#Time Commitment:
- Availability of at least 4 working hours per day, with the flexibility to work up to 8 hours per day.
- The schedule and working hours will be mutually discussed and agreed upon for each project.
BENEFITS AND PERKS:
- Opportunity to work on AI-Driven Development (AIDD) Projects: Gain hands-on experience in an AI-integrated development environment, with opportunities to apply AI across the software development lifecycle — using Sun*’s standardized AI framework and tools
- Access to Premium AI Tools: May have access to paid, enterprise-grade AI tools such as GitHub Copilot, Gemini, and Claude, depending on project requirements, to automate tasks and enhance productivity
- Compensation: Competitive hourly rates based on qualifications and experience
- Flexible Work: Flexible working hours and remote working options
- Professional Agile Environment: Work in a professional Agile environment with modern technology stacks and development practices
- Professional Team: Collaborate with a highly experienced and professional team
Kinh nghiệm làm việc:
- AI Engineer: 5 năm (Ưu tiên)
Địa điểm việc làm: Làm việc từ xa
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