Back-End Developer with AI Experience at Getwingapp

Confirmed open

Back-End Developer with AI Experience opportunity with Getwingapp. See the official posting for current status and application details.

Getwingapp

Search jobs by company: Getwingapp

Location: Remote
Advertised region: Manila, Philippines
Work arrangement: remote

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Role overview

Please whitelist the domains "lever.co" and "hire.lever.co" with your email provider to make sure you get our emails.

Back-End Developer with AI Experience

Wing is on the exciting mission of redefining the future of work for companies worldwide! We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot.

We are looking for a Back-End Developer with AI experience to design, build, and maintain server-side applications and services that power AI-driven solutions. The ideal candidate has strong expertise in back-end technologies, database management, and cloud infrastructure, combined with hands-on experience integrating and deploying AI/ML models and APIs.

Responsibilities

Design, develop, and maintain scalable back-end systems, APIs, and
Integrate AI/ML models (NLP, computer vision, recommendation systems, etc.)
Collaborate with front-end developers, AI/ML engineers, and data scientists to
deliver end-to-end AI-powered features.
Optimize databases, APIs, and system performance to handle large-scale
data processing and real-time AI inference.
Implement secure authentication, authorization, and data protection
Build and manage data pipelines to support training, testing, and deployment
Monitor, debug, and improve system reliability and AI feature performance.
Stay current with emerging technologies in AI/ML, cloud services, and back-end frameworks.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related
field (or equivalent experience).
Proven experience as a Back-End Developer (3+ years).
Strong proficiency in at least one back-end language/framework (Node.js,
Python/Django, Java/Spring Boot, or Go).
Hands-on experience integrating AI/ML APIs or deploying machine learning
models into production (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
Experience with relational and non-relational databases (MySQL, PostgreSQL,
Familiarity with RESTful APIs, GraphQL, and microservices architecture.
Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled
Strong debugging, performance tuning, and problem-solving skills.
Experience with MLOps tools (Kubeflow, MLflow, or Vertex AI).
Knowledge of containerization and orchestration (Docker, Kubernetes).
Background in data engineering (ETL pipelines, real-time data streaming).
Familiarity with serverless computing and edge AI deployment.
Experience with security best practices in AI applications (data privacy, model

Technology in this role

Node.js: Strong proficiency in at least one back-end language/framework (Node.js, Python/Django, Java/Spring Boot, or .
Python: Strong proficiency in at least one back-end language/framework (Node.js, Python/Django, Java/Spring Boot, or .
Java: Strong proficiency in at least one back-end language/framework (Node.js, Python/Django, Java/Spring Boot, or .
Go: Strong proficiency in at least one back-end language/framework (Node.js, Python/Django, Java/Spring Boot, or .
PostgreSQL: Experience with relational and non-relational databases (MySQL, PostgreSQL, Familiarity with RESTful APIs, GraphQL, and microservices .
MySQL: Experience with relational and non-relational databases (MySQL, PostgreSQL, Familiarity with RESTful APIs, GraphQL, and microservices .
MongoDB: Listed by the employer as part of the role’s technical requirements.
TensorFlow: Hands-on experience integrating AI/ML APIs or deploying machine learning models into production (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI .
PyTorch: Hands-on experience integrating AI/ML APIs or deploying machine learning models into production (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI .
AWS: Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled Strong debugging, performance tuning, and problem-solving .
Azure: Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled Strong debugging, performance tuning, and problem-solving .
GCP: Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled Strong debugging, performance tuning, and problem-solving .
Kubernetes: Knowledge of containerization and orchestration (Docker, .
Docker: Knowledge of containerization and orchestration (Docker, .
CAN: We prioritize people who can do this .
GraphQL: Experience with relational and non-relational databases (MySQL, PostgreSQL, Familiarity with RESTful APIs, GraphQL, and microservices .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Back-End Developer with AI Experience position at Getwingapp is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Please whitelist the domains "lever.co" and "hire.lever.co" with your email provider to make sure you get our emails.” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying.

Benefits

Opportunities for Career Growth
Schedule: US work hours (20-40 hours per week)
Only qualified candidates will be invited to take the assessment & scheduled for an interview.
We have other vacancies that might interest your friends & colleagues. They can check us out at our Jobs Website.
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About Getwingapp

Central is an innovative startup that builds AI voice agents and is expanding its product line into broader AI solutions and back-office workflows. We are looking for a highly proactive Implementation & Customer Success Specialist who thrives in ambiguity and is eager to learn about AI while implementing our solutions in real business scenarios.

This is an execution-heavy role, focusing on customer implementation and success rather than traditional relationship management. You will play a crucial role in ensuring our customers effectively adopt and benefit from our AI agents, driving their success and expansion.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-09-29

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