BeGig
Website:
begig.io
Job details:
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 system execution, including:
● Requirement discovery
● Workflow and architecture design
● Engineering execution
● QA validation
● Production deployment
You will not be building demo chatbots.
You will be assigned structured AI workflows used in production systems.
Core Responsibilities
You will:
Build Production AI Workflow Systems
Including:
● LLM-powered automation workflows
● Multi-step AI processing pipelines
● Prompt orchestration workflows
● AI decision-making pipelines
● Structured output workflows
● AI response validation logic
Implement AI Integration Pipelines
You will:
● Integrate LLM APIs into backend systems
● Build API-driven AI workflows
● Handle structured request-response pipelines
● Implement retry and fallback logic
● Manage AI workflow dependencies
● Maintain workflow reliability
Design Prompt and Response Logic
You will:
● Build structured prompt pipelines
● Implement prompt chaining logic
● Handle multi-step reasoning workflows
● Maintain consistent output structures
● Optimize prompt performance
● Manage prompt reliability
Manage AI Workflow Monitoring and
Debugging
You will:
● Monitor AI workflow performance
● Debug failed AI responses
● Optimize response latency
● Improve output reliability
● Maintain production stability
You must be comfortable debugging AI systems running in live environments.
Required Technical Skills
Strong hands-on experience in:
Programming and Backend Logic
You must have production experience with:
● Python (mandatory)
OR
● Node.js
Hands-on experience required in:
● API development
● Backend logic implementation
● Structured request handling
● Error handling logic
● Multi-step workflow execution
You must have built:
● Production backend systems supporting AI workflows
AI Integration
Hands-on experience required in:
● OpenAI APIs
● Gemini APIs
● LLM-based workflows
● Prompt orchestration
● Structured output handling
You must have built:
● Production AI workflows
Not just chatbot demos.
Workflow and Pipeline Design
Strong experience required in:
● Multi-step workflow logic
● AI pipeline orchestration
● Conditional execution workflows
● Failure recovery logic
● Workflow dependency handling
Data Handling
Working knowledge of:
● JSON-based workflows
● Structured data transformation
● Input-output validation
● Multi-stage data processing
Model Usage and Optimization
Experience required in:
● Prompt optimization
● Response validation
● Token usage optimization
● Latency optimization
● Workflow performance tuning
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 AI systems
✔ Opportunity for repeat engagements
You build production AI systems — not experimental scripts.
Strong Preference Indicators
Candidates with the following experience stand out immediately:
● Built multi-step AI workflow pipelines
● Delivered production AI automation systems
● Designed structured prompt workflows
● Integrated AI into backend systems
● Debugged production AI failures
Click on Apply to know more.