Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận Hải Châu, Đà Nẵng, Đà Nẵng
Overview
- A multi-agent AI system ("Olly" as J.A.R.V.I.S.) that understands training, nutrition, communication, and coaching intelligence.
- A new interaction model for software, moving beyond dashboards to natural, conversational experiences.
- A global AI-powered wellness marketplace connecting millions of coaches and clients around the world.
- Collaborate with the AI team to understand the company’s AI strategy and roadmap.
- Provide frameworks and conduct research to support the execution of AI projects.
- Implement best practices for prompt engineering, evals, and continuous improvement of LLM-based features.
- Identify opportunities for innovation and improvement within Everfit’s AI projects.
- Design, develop, and deploy LLM workflows, RAG pipelines, and agentic systems across Everfit’s AI surface - coaching, programming, voice, vision, and nutrition features.
- Leverage frontier LLMs from OpenAI and Anthropic, applying them to real product features used by coaches and clients every day.
- Build evaluation infrastructure - test sets, metrics, LLM-as-judge - to catch regressions before they reach users.
- Build LLM observability - token cost, latency, failure modes, hallucination signals.
- Implement guardrails for health-adjacent outputs - refusal logic, tone enforcement, factual grounding.
- Collect and analyze user feedback to identify and prioritize areas for continuous improvement.
- Generate reports and dashboards to track key AI quality, cost, and adoption metrics for stakeholders.
- Work directly with BAs and QAs to define “done” for non-deterministic AI features, translating AI uncertainty into acceptance criteria QA can verify.
- Collaborate with product managers, software engineers, designers, and QAs to ensure smooth end-to-end delivery of AI solutions.
- Support Everfit’s initiatives.
- Design data pipelines that feed prompts, RAG, and evals from real coach and client behavior.
- Drive actionable insights and recommendations based on usage data.
- Contribute to the AI Credits architecture - metering, cost control, graceful degradation.
- Maintain and improve existing AI systems to ensure optimal performance, accuracy, and cost.
- Run root-cause analyses on production regressions and quality gaps.
- Enhance the accuracy of health and fitness AI features through continuous eval-driven iteration.
- You’ve shipped at least one LLM feature to real users - at work or in open-source. Scale doesn’t matter; learning from a shipped feature does. Side-project demos that no one used don’t count.
- Proficiency in Python (we use FastAPI as the primary AI codebase).
- Hands-on experience with LLM workflows, prompts, RAG, embeddings, and structured output - chunking choices, retrieval quality, JSON / function calling, validation, retry on malformed output.
- Direct experience calling LLM SDKs from OpenAI and/or Anthropic - not only through a framework wrapper. Streaming, tool use, structured output, retries.
- Familiar with agentic systems - and the bounds an agent loop needs to fail closed (max steps, budget cap, wall-clock cap, defined fallback).
- Eval-first mindset - you ask “how will we measure this?” before writing the code.
- Strong understanding of data processing and analysis techniques, particularly in handling health and fitness data.
- Comfortable communicating in English (discussing ideas & solutions with PO) and fluent in Vietnamese.
- Direct experience with our stack - LangGraph, Qdrant, Trustcall, BAML, Langfuse, MCP, n8n.
- Experience with cloud platforms (AWS, Google Cloud, Azure).
- Background in health informatics, wearable technology, or personalized fitness programs.
- Contributions to open-source AI projects or publications in AI research.
- Experience with the wellness or fitness space.
- Familiarity with AI coding tools - Claude Code, Cursor, GitHub Copilot.
- Quantified LLM cost or latency reduction with a number attached.
Benefits
- Full social insurance coverage and premium healthcare benefits.
- Competitive salary with 13th-month pay and performance bonus.
- Paid leave — vacation, sick leave, and maternity leave
- Build Your Career with Impact:
- Be part of a mission-driven company that’s transforming human potential.
- Empower over 300,000+ coaches in more than 200 countries - including Olympic athletes, military trainers, rehab specialists, and celebrity coaches.
- Make a global impact while building a meaningful, purpose-driven career.
- Continuous training, mentoring.
- 1-2 performance reviews annually.
- Work Environment:
- English-speaking, international environment promoting open communication and collaboration.
- Work alongside world-class talent from companies like Apple, Meta, Uber, Patreon, and Nike, united by a shared passion for impact and excellence.
- International team for global career growth.
- State-of-the-art equipment provided.
- Beautiful working environment near Danang's city center (Dragon Bridge) and Hanoi office.
- Health & Wellness:
- PVI health insurance program and annual health check-ups.
- Active sports clubs (football, badminton, pickleball) and company retreats.
- A modern pantry designed for relaxation and social connection.
- Monthly wellness and learning workshops to recharge and grow.
BonusHealthcareTraining
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