- Company Name
- Accion Labs
- Job Title
- Automation Developer - with AI
- Job Description
-
Job Title: Automation Developer – with AI
Role Summary:
Design, develop, and maintain AI‑driven automation solutions that integrate with enterprise systems and APIs. Collaborate with stakeholders to translate business requirements into scalable, event‑driven workflows, ensuring secure, high‑availability delivery across cloud and on‑prem environments.
Expectations:
- 4–5 years of professional experience in software development with a focus on AI‑powered automation.
- Proven track record delivering end‑to‑end solutions that include API integration, workflow orchestration, and secure authentication.
- Ability to work independently and as part of cross‑functional teams, delivering projects on time and within scope.
Key Responsibilities:
- Architect and implement automated workflows using Python or JavaScript/TypeScript (Node.js).
- Develop and consume RESTful APIs and webhooks, ensuring robust authentication (OAuth 2.0, JWT, API keys, MFA).
- Design event‑driven architectures and manage workflow orchestration pipelines.
- Build and maintain database schemas and queries for SQL/NoSQL stores.
- Implement CI/CD pipelines, containerize applications with Docker, and orchestrate deployments on Kubernetes.
- Apply security best practices: encryption, secret management, role‑based access control (RBAC).
- Engineer AI prompts, leverage Copilot, and integrate large language models (LLMs) into automation agents.
- Troubleshoot and optimize performance, scalability, and reliability of automation services.
- Stay current with emerging AI and cloud technologies, evaluating applicability to projects.
Required Skills:
- Programming: Python OR JavaScript/TypeScript, Node.js
- API Design/Integration: RESTful APIs, webhooks
- Authentication: OAuth 2.0, JWT, API keys, MFA
- Automation: Workflow orchestration, event‑driven architecture
- Databases: SQL and NoSQL systems
- DevOps: CI/CD pipelines, Docker, Kubernetes
- Security: Encryption, secret management, RBAC
- Generative AI: Prompt engineering, Copilot
Nice‑to‑Have Skills:
- Datacenter infrastructure (servers, storage, networking)
- Cloud platforms: AWS, Azure, GCP
- GenAI: LLM integration, MCP server development, AI agent development
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Certifications in relevant technologies (e.g., AWS/Azure/GCP Cloud Practitioner, Kubernetes Administrator, Certified DevOps Practitioner) are advantageous.