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

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

• At least 3 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:

• Competitive hourly compensation based on qualifications
• Flexibility in working hours and remote location
• Professional Agile environment with modern technology stacks
• Work alongside a highly experienced and professional team

Note: By applying for this position, you consent to Sun* collecting, storing, and processing your personal data for current and future recruitment purposes. Your data may be shared with relevant parties involved in the recruitment process and retained indefinitely until you submit an official written request for data deletion. For details regarding your rights and how your data is protected, please refer to [Sun*’s Personal Data Protection Policy here]