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JDA TSG · 1 day ago

API & AI Automation Developer

United States

Full-time

Remote

Mid Level

$135K/yr - $150K/yr

3+ years exp

JDA TSG is a company that equips major brands with specialized talent and business process expertise. They are seeking an API & AI Automation Developer responsible for the reliability and scalability of the company's integration and automation ecosystem, blending API development with AI and workflow automation to enhance operational efficiency.

ConsultingInformation Technology

Responsibilities

Own and maintain all existing API integrations across the company’s suite of applications and vendors

Ensure integrations remain stable, secure, and compatible as vendors, schemas, and business processes evolve

Maintain clear documentation, versioning practices, credential management standards, and dependency awareness

Partner with business owners to confirm integration requirements, SLAs, and data-handling expectations

Monitor integration health, performance, throughput, and error rates across production and non-production environments

Diagnose and correct failures such as authentication errors (OAuth/token issues), payload/schema mismatches, rate-limits, and vendor outages

Implement and maintain alerting, structured logging, dead-letter patterns, idempotency, and retry/backoff strategies to reduce incidents

Serve as the primary escalation point for integration-related incidents; lead root-cause analysis and post-incident improvements

Create runbooks and operational playbooks to support consistent triage and resolution

Maintain integration capacity and operational service levels as demand and transaction volume increase

Tune workflows and API calls to improve latency, reduce unnecessary calls, and manage concurrency and queueing effectively

Proactively identify bottlenecks, scaling constraints, and reliability risks before they impact end users

Establish key metrics and dashboards (e.g., success rate, median latency, error taxonomy, throughput, backlog) to measure performance over time

Proactively develop AI and automation solutions to improve employee productivity across IT, Operations, HR, Finance, and Sales workflows

Design, build, and deploy intelligent workflow components using LLMs and AI tools for tasks such as classification, extraction, summarization, routing, enrichment, and decision support

Develop AI-driven agents and orchestrations that connect systems, validate business rules, and reduce repetitive manual steps

Balance speed and innovation with guardrails—ensuring security, privacy, auditability, and quality are maintained in AI-enabled workflows

Evaluate existing integrations for efficiency opportunities, resilience improvements, and AI conversion/expansion potential

Refactor legacy workflows to improve maintainability, observability, and performance; reduce brittle logic and duplicated patterns

Introduce reusable components, standardized templates, and governance for shared automations

Recommend platform and architecture improvements (e.g., event-driven patterns, queueing, caching, secure secrets management) as appropriate to the business

Support vendor evaluations, proofs-of-concept, and technical due diligence for new integration and automation tooling

Partner with stakeholders to clarify requirements, map processes, and define success metrics for automation projects

Communicate clearly during incidents and changes; provide status updates, tradeoffs, and timelines

Maintain organized documentation and change logs within company collaboration tools (e.g., Teams/SharePoint) to reduce tribal knowledge

Qualification

API developmentAI automationN8nMake.comRESTful APIsOAuth2PythonJavaScriptCommunicationAttention to detail

Required

3+ years of experience in API development, systems integration, automation engineering, or a closely related role

Demonstrated ability to build and maintain production integrations with strong reliability and troubleshooting discipline

Hands-on experience with n8n and Make.com building multi-step automations with branching, retries, and error handling

Strong understanding of REST APIs, webhooks, and authentication methods (OAuth2, tokens, API keys)

Working proficiency in at least one scripting language (Python, JavaScript/TypeScript, or similar) for API interaction and automation logic

Experience implementing AI/LLM capabilities inside operational workflows (not just experimentation)

Strong written and verbal communication skills; ability to work across technical and non-technical teams

High attention to detail, follow-through, and comfort operating in a fast-paced environment with shifting priorities

Preferred

Experience with Azure services (e.g., Azure Functions, Logic Apps, Key Vault) and/or AWS/GCP equivalents

Experience integrating SaaS platforms commonly used in mid-market/enterprise environments (e.g., Salesforce, HubSpot, Microsoft 365, ticketing/ITSM, HRIS, finance tools)

Familiarity with event-driven architectures, message queues, and integration patterns (pub/sub, async workflows)

Security-minded engineering habits: least privilege, secrets management, audit trails, and data governance

Experience designing operational metrics and SLAs/SLOs for integration performance