BeGig
Website:
begig.io
Job details:
Role: AI Agent Developer
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 execution workflows.
Core Responsibilities
You will:
Build Production AI Agent Systems
Including:
● Multi-step agent workflow development
● Tool-integrated execution pipelines
● Task-based agent workflows
● State-aware execution logic
● Retry and fallback workflow design
● Output validation mechanisms
Design Agent Workflow Systems
You will:
● Define agent workflow steps
● Implement task routing logic
● Design structured execution flows
● Build conditional decision pipelines
● Improve workflow reliability
● Reduce failure points in automation
● Memory+Tools for agents
Optimize Agent Execution Performance
You will:
● Improve workflow execution reliability
● Debug agent failures
● Reduce workflow breakdowns
● Improve system efficiency
● Optimize tool interaction latency
● Handle real-world execution errors
Required Technical Skills
Strong hands-on experience in:
Agent Frameworks
Experience with:
● LangChain Agents
● CrewAI
● AutoGen
● OpenAI Assistants API
● Custom agent orchestration systems
Workflow Development
Experience building:
● Multi-step workflows
● Task-based execution pipelines
● Conditional workflows
● Tool invocation logic
● Agent memory workflows
Programming
Mandatory:
● Python
● API integrations
● Workflow backend logic
System Integration
Hands-on experience with:
● External APIs
● Webhooks
● Databases
● Workflow automation tools
Examples:
● n8n
● Make
● Zapier
● Custom workflow pipelines
Engineering Discipline Expectations
We operate using structured delivery practices:
● Version-controlled repositories
● Defined workflow specifications
● 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 systems - not unstable demos.
Strong Preference Indicators
Candidates with the following experience stand out immediately:
● Built multi-step AI agent workflows
● Delivered deployed agent-based systems
● Integrated multiple external tools into workflows
● Implemented retry and fallback logic
● Debugged real-world automation failures
Non-Negotiable Expectations
You must be able to:
✔ Build production-ready workflow systems
✔ Debug agent execution failures
✔ Implement fallback logic
✔ Deliver structured outputs
✔ Meet defined technical milestones
If your experience is limited to chatbot demos or experimental agent setups, this role will not
be a fit.
Click on Apply to know more.