BeGig
Website:
begig.io
Job details:
Role: AI Integration Engineer
Type: Contract / Project-Based
Platform: BeGig AI Studio
Clients: US, UK, Middle East
About BeGig
BeGig is an on-demand tech talent marketplace that connects companies with vetted
engineers and specialists for contractual and outcome-driven projects. Companies use
BeGig to access reliable technical talent without long hiring cycles, while freelancers get
access to structured, well-managed project opportunities.
Within the BeGig ecosystem, BeGig AI Studio handles outcome-based AI and automation
projects that require structured delivery. Studio teams work on end-to-end product
development, including:
● Requirement discovery
● Workflow and architecture design
● Engineering execution
● QA validation
● Production deployment
You won’t be handed vague prompts.
You’ll be assigned clearly defined system integration workflows.
Core Responsibilities
You will:
Build Production Integration Systems
Including:
● API-based system integrations
● Data synchronization pipelines
● Event-driven workflow systems
● Webhook-based automation flows
● System-to-system communication pipelines
● Error-handling and retry mechanisms
Design Integration Architecture
You will:
● Define API communication flows
● Design data movement pipelines
● Implement structured data mapping logic
● Build system integration workflows
● Ensure reliable data exchange
● Reduce integration failure points
Optimize Integration Reliability
You will:
● Debug integration failures
● Improve data synchronization accuracy
● Implement retry and fallback workflows
● Reduce system downtime risks
● Improve workflow stability
● Handle real-world integration errors
Required Technical Skills
Strong hands-on experience in:
API Integration
Experience building:
● REST API integrations
● Webhook-based workflows
● API authentication workflows
● API rate-limit handling
● Error-handling and retry logic
Workflow Automation
Experience working with:
● Integration workflows
● Event-based automation
● Task-based system execution
● Multi-system orchestration
Examples:
● n8n
● Make
● Zapier
● Custom integration workflows
Programming
Mandatory:
● Python or Node.js
● API integrations
● Backend workflow logic
Data Handling
Hands-on experience with:
● JSON data structures
● Data mapping and transformation
● Structured data pipelines
● Database integration workflows
Examples:
● PostgreSQL
● SQL
● MongoDB
● RDBMS
System Integration
Experience working with:
● CRM systems
● External SaaS tools
● Messaging systems
● Third-party platforms
● Database synchronization
Engineering Discipline Expectations
We operate using structured delivery practices:
● Version-controlled repositories
● Defined integration workflows
● Scheduled milestone reviews
● QA validation cycles
Developers who prefer structured engineering workflows perform best here.
What You Get
These are operational guarantees - not marketing claims.
✔ Projects fully scoped before development
✔ Defined deliverables and timelines
✔ Controlled scope change process
✔ Dedicated project coordination
✔ QA-backed validation before delivery
✔ Exposure to international production-grade systems
✔ Opportunity for repeat engagements
You build reliable systems - not unstable integrations.
Strong Preference Indicators
Candidates with the following experience stand out immediately:
● Built multi-system API integrations
● Delivered production integration pipelines
● Implemented webhook-based workflows
● Handled real-time data synchronization
● Debugged production integration failures
Non-Negotiable Expectations
You must be able to:
✔ Build reliable integration workflows
✔ Debug API failures
✔ Implement retry and fallback logic
✔ Deliver structured data pipelines
✔ Meet defined technical milestones
If your experience is limited to simple API calls or basic automation scripts, this role will not
be a fit.
Click on Apply to know more.