Applied AI Engineer
Hạn nộp hồ sơ: 16/11/2026 (Còn 56 ngày)
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Mô tả công việc
As an Applied AI Engineer at Everfit, you'll work at the intersection of backend engineering and applied AI, building the scalable systems and AI-powered experiences that shape the future of fitness coaching for coaches and their clients around the world.
This is not a Backend role with AI sprinkled on top. Expect roughly 70% work on LLM-powered systems (agent workflows, RAG, tool calling, evals) and 30% on the core backend services that power them.
Your impact:
What you'll build
Durable, long-running AI workflows on Temporal: scheduled jobs and multi-step agent processes that survive restarts, retries, and partial failures.
Reliable AI pipelines with validation, retries, fallbacks, guardrails, and observability.
Systems designed around AI-specific constraints: latency, token cost, model failures, quality.
Production integrations with OpenAI and Anthropic models.
The path from experiment to production: take a validated AI capability from the AI team and ship it as a service with clear reliability, cost, and quality characteristics.
Evals and monitoring that define how AI features are measured, and catch regressions before users do.
How you'll work
Scalable backend services in [protected info], with system architecture, technical design, and code review across Everfit's backend.
Rapid experiments with emerging AI tech, turning the successful ones into production solutions.
Day-to-day with Product Managers, AI Engineers, and QA, from technical discovery through delivery.
Investigating production issues and improving AI workflows from real user feedback.
Helping the broader engineering org adopt AI-native development practices.
This is not a Backend role with AI sprinkled on top. Expect roughly 70% work on LLM-powered systems (agent workflows, RAG, tool calling, evals) and 30% on the core backend services that power them.
Your impact:
What you'll build
Durable, long-running AI workflows on Temporal: scheduled jobs and multi-step agent processes that survive restarts, retries, and partial failures.
Reliable AI pipelines with validation, retries, fallbacks, guardrails, and observability.
Systems designed around AI-specific constraints: latency, token cost, model failures, quality.
Production integrations with OpenAI and Anthropic models.
The path from experiment to production: take a validated AI capability from the AI team and ship it as a service with clear reliability, cost, and quality characteristics.
Evals and monitoring that define how AI features are measured, and catch regressions before users do.
How you'll work
Scalable backend services in [protected info], with system architecture, technical design, and code review across Everfit's backend.
Rapid experiments with emerging AI tech, turning the successful ones into production solutions.
Day-to-day with Product Managers, AI Engineers, and QA, from technical discovery through delivery.
Investigating production issues and improving AI workflows from real user feedback.
Helping the broader engineering org adopt AI-native development practices.
Yêu cầu
4+ years of professional backend engineering experience.
Good English communication
Strong programming experience (preferably [protected info] / TypeScript / Python) and backend architecture. Our core backend is [protected info]/TypeScript and our AI services are Python/FastAPI; you'll work mainly in Node but should be comfortable crossing into Python when the work lives there.
Solid understanding of REST APIs, microservices, distributed systems, databases, and scalable system design.
Strong experience with databases such as MongoDB, PostgreSQL, and Redis.
You have shipped at least one LLM-powered feature to production for real users, working directly with OpenAI or Anthropic APIs, and can talk concretely about its failure modes, evals, latency, and cost.
You already use AI coding tools (Claude Code, Codex) daily, and you review what they produce with judgment about architecture, security, and edge cases.
Comfortable experimenting with new AI tools and technologies and turning successful experiments into production solutions.
Comfortable communicating in English and working with an international team.
Curious, proactive, and excited about how AI can fundamentally change software development and product experiences.
Nice to have:
Experience with Python / FastAPI or AI-focused backend development.
Experience building production LLM features, RAG pipelines, or agentic systems.
Familiarity with the stack we run in production: Pydantic/LangGraph, Qdrant for vector search, Langfuse for LLM observability, and MCP.
Experience with AWS, Docker, message queues, or cloud-native architecture.
Experience improving engineering productivity through AI, with measurable impact.
Experience working with health, fitness, wellness, personalization, or recommendation systems.
Open-source contributions or personal projects involving AI.
Good English communication
Strong programming experience (preferably [protected info] / TypeScript / Python) and backend architecture. Our core backend is [protected info]/TypeScript and our AI services are Python/FastAPI; you'll work mainly in Node but should be comfortable crossing into Python when the work lives there.
Solid understanding of REST APIs, microservices, distributed systems, databases, and scalable system design.
Strong experience with databases such as MongoDB, PostgreSQL, and Redis.
You have shipped at least one LLM-powered feature to production for real users, working directly with OpenAI or Anthropic APIs, and can talk concretely about its failure modes, evals, latency, and cost.
You already use AI coding tools (Claude Code, Codex) daily, and you review what they produce with judgment about architecture, security, and edge cases.
Comfortable experimenting with new AI tools and technologies and turning successful experiments into production solutions.
Comfortable communicating in English and working with an international team.
Curious, proactive, and excited about how AI can fundamentally change software development and product experiences.
Nice to have:
Experience with Python / FastAPI or AI-focused backend development.
Experience building production LLM features, RAG pipelines, or agentic systems.
Familiarity with the stack we run in production: Pydantic/LangGraph, Qdrant for vector search, Langfuse for LLM observability, and MCP.
Experience with AWS, Docker, message queues, or cloud-native architecture.
Experience improving engineering productivity through AI, with measurable impact.
Experience working with health, fitness, wellness, personalization, or recommendation systems.
Open-source contributions or personal projects involving AI.
Quyền lợi
Compensation & Benefits
Competitive salary with 13th-month pay and performance bonus.
Paid leave - vacation, sick leave, and maternity leave.
Full social insurance coverage and premium healthcare benefits.
Build Your Career with Impact
Be part of a mission-driven company that's transforming human potential.
Empower more than 300,000 coaches across the globe - including Olympic athletes, military trainers, rehab specialists, and celebrity coaches.
Make a global impact while building a meaningful, purpose-driven career.
Continuous training and 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 Netflix, Apple, Meta, Nike, Hulu, Uber, Amazon, Hypebeast, and Quibi, united by a shared passion for impact and excellence.
International team for global career growth.
Laptop and work 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.
Competitive salary with 13th-month pay and performance bonus.
Paid leave - vacation, sick leave, and maternity leave.
Full social insurance coverage and premium healthcare benefits.
Build Your Career with Impact
Be part of a mission-driven company that's transforming human potential.
Empower more than 300,000 coaches across the globe - including Olympic athletes, military trainers, rehab specialists, and celebrity coaches.
Make a global impact while building a meaningful, purpose-driven career.
Continuous training and 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 Netflix, Apple, Meta, Nike, Hulu, Uber, Amazon, Hypebeast, and Quibi, united by a shared passion for impact and excellence.
International team for global career growth.
Laptop and work 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.
Thông tin khác
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 08:00 đến 18:00)
Thứ 2 - Thứ 6 (từ 08:00 đến 18:00)
Thông tin chung
- Thu nhập: Thoả thuận
Nơi làm việc
- Đà Nẵng: 36 Trần Quốc Toản, Phường Hải Châu (quận Hải Châu cũ)
Việc làm tương tự khác
CÔNG TY CỔ PHẦN PHÁT TRIỂN KỸ THUẬT Ý TƯỞNG
Đà Nẵng
Thương lượng
Công ty Cổ phần Trung Nam Electronics Manufacturing Services
Đà Nẵng
Trên 15 triệu
Công ty TNHH CÔNG NGHỆ EMPOS
Hà Nội, Hồ Chí Minh, Đà Nẵng, Hải Phòng
Thỏa thuận
CÔNG TY TNHH EVERFIT TECHNOLOGIES VIỆT NAM
Xem trang công ty- Địa chỉ công ty: Tầng 13, Toà nhà Vietinbank, số 36 Trần Quốc Toản, phường Hải Châu, Thành Phố Đà Nẵng, Việt Nam
- Quy mô: Từ 101 - 500 nhân viên
Thông tin công việc
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Nhân viên
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Toàn thời gian
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