About us
Intelligent Internet is a UK-based open-source AI x Crypto startup with a global reach, including our dedicated research team in Ho Chi Minh City. We're pushing the boundaries of artificial intelligence, specializing in Agentic Building, Large Language Models (LLMs), multimodal technologies, and the development of advanced AI agents. Our mission: to enhance humanity's intelligence.
The Role
As an Research Engineer, you design and implement novel research ideas, ship
state-of-the-art agents workflow to production, maintain deep connections to academia, contribute to advancing AI-driven agents across various domains. You will design experiments, build prototypes, run rigorous evaluations, and ship reliable workflows closing the loop from idea → measurement → deployment.
The Responsibilities
- Involved in the development of our agentic applications: II-Agent, Common Ground, etc
- Incorporating cutting-edge AI research on autonomous agents into the Intelligent Internet framework, exploring and implementing novel techniques to enhance agent intelligence and efficiency.
- Paper re-implementation & benchmark-driven iteration: read, reproduce, and re-implement key agentic research papers, then integrate validated techniques into our agentic framework to improve performance on widely used agent benchmarks (e.g., success rate, reliability, cost/latency) and internal evaluation suites.
- Technical communication: Write clear technical blog posts and/or internal papers to document experiments, methodologies, results, and lessons learned, so findings are reproducible and can be adopted across the team.
- Collaborating with others agent researchers/ engineers, PMs, and designers to turn product needs into technical solutions.
The Requirements
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field
- 4+ years of experience in full-stack and backend development
- Deep experience with modern backend and frontend technologies
- Strong Python proficiency with solid software engineering fundamentals (testing, code quality, debugging, performance).
- Familiarity with LLM/agentic concepts: tool use, planning, memory, RAG, multi-agent workflows, prompt/program orchestration.
Nice to Have Requirements
- Active GitHub repository
- Publications, technical blogs, or open-source contributions related to LLMs/agents
- Experience re-implementing research papers end-to-end
- Familiarity with agent benchmarks and evaluation tooling (e.g., SWE-bench style tasks, agentic benchmarks, custom harnesses).
- Experience with LLM training or adaptation (SFT, preference tuning/RLHF, distillation) and/or retrieval systems (RAG, rerankers)
The Right Person
- Passion for AI, problem-solving, and pushing the boundaries of what's possible
- Creative and proactive, never wait for tasks
- Tech-savvy/human first and eager to learn new technology and practices
- Ability to work individually and collaboratively within a team environment
- A clear and thoughtful communicator with exceptional critical thinking/reasoning skills
- Thrives in fast-paced and high-growth companies
- Ability to contribute to building new processes and systems
- Detail-oriented, intentional, and analytical
- Curious, tenacious, willing to learn, and keen to grow
- You aim high, embrace challenge, and always do what's right
The Reward
- Dynamic environment for continuous learning and growth
- Salary: up to $65,000 annually
- Weekly team lunches, birthday treat, and other company engagement activities
Interview Process
- HR Interview: If shortlisted, you will be invited to a 20-30 minute call with HR covering role expectations, work culture, and any related logistical details
- Assignment: You will be given a technical assignment to submit within a few days to be considered for the next round
- Technical Interviews: Discuss your knowledge and experience in coding, systems design, or research with technical team and team lead (on-site participation in Ho Chi Minh city encouraged)
- Final Interview: Discuss research directions & concluding conversation with senior leadership.
