Role Overview
The AI Automation Developer designs and implements secure, observable AI-powered automation pipelines that reduce manual effort across operational, security, and content workflows. The role prioritizes reliability, guardrails, monitoring, and maintainability over fragile automation.
Key Responsibilities
- Build automation workflows using LLMs, APIs, scripting, and orchestration tools.
- Design prompts with safety controls, evaluation criteria, and fallback logic.
- Implement logging, monitoring, alerting, and error handling.
- Version automation code and maintain detailed documentation.
- Measure automation impact (time saved, error reduction, reliability).
- Reliable automations with logging, guardrails, and error handling.
- Reduced manual workload and faster cycle times for target processes.
- Clear documentation and maintainable pipelines
- Orchestrate LLMs/agents, RPA/RDA, API integrations, webhooks.
- Prompt engineering, evaluation, and safety controls.
- Required Skills & Qualifications
- Core Technical Skills
- Python/Node, REST APIs, webhook orchestration,
- LLM/agent frameworks, prompt engineering,
- Security guardrails, logging/observability, Bitrix/Excel integration, documentation.
- Nice to have skills
- Queueing systems, serverless, Secrets management, IaC
Mindset, Attitude & Behavior
- Curious, disciplined, and ethical researcher
- Clear communicator under pressure
- Willingness to continuously learn and adapt to evolving threats
- Pragmatic, securityaware, documentationfirst; communicates tradeoffs clearly.
Certifications
- Optional, masters/PGD allowed
Experience Level
- College students and freshers can start as Intern/Trainee; upon graduation and strong performance, convert to Fulltime.Experience equivalence: complete2 years postconversion, and your prior trainee+internship is recognized asfull 4 years company experience. Leaving earlier voids the equivalence.
What Success Looks Like
- Automations are reliable, safe, and observable
- Measurable efficiency gains achieved
Why Join Us
- Focused, high-impact engagement with clear deliverables
- Opportunity to apply privacy expertise in a real-world environment
- Direct collaboration with cross-functional stakeholders