Everfit

Tóm tắt công việc

Position Overview:

Our Vietnam team is the engineering engine behind Everfit. Today, we're a team of around 170 people, approximately 150 in Da Nang and 20 in Hanoi - who have built a product that has become a category leader in just five years.

Now we're entering our next chapter: becoming an AI-first company with a human core. We're building intelligent systems that understand context, anticipate needs, and take action-amplifying what coaches can do, not replacing them. AI isn't just another feature at Everfit; it's becoming the foundation of how we build products, collaborate as a team, and shape the future of coaching.

As an AI Engineer, you'll help build:

• 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.

If you're passionate about AI, human potential, and creating technology that genuinely empowers people, you'll have the opportunity to solve challenging engineering problems, work with the latest AI technologies, and help redefine how humans and AI work together-not just what AI can do.

If you're looking to build technology that changes how the world moves, trains, and grows, Everfit is where you'll do some of your best work.

Your impact:

AI Strategy and Roadmap Execution

• 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.

LLM Workflow and Agentic System Development

• 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.

Cross-functional Collaboration

• 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.

Data Infrastructure and Insights

• 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.

AI System Maintenance and Improvement

• 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.

Compensation & 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.

We’re open Junior → Senior - we calibrate on capability and judgment, not years. 

Junior candidates should expect to ramp fast on what they haven’t seen yet; 

Senior candidates will own features end-to-end and influence team standards from week one.

• 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.

[Nice to have]

• 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.