vinod.tiwari@tekgence.com
Job Role: ServiceNow AI-Developer
Location: Juno Beach, Florida-Onsite
Note: Must have 3+ years in AI/ML development, with at least 2 year in agentic AI or LLM-based systems
- Deep knowledge of ServiceNow’s extensibility model, hands-on experience with AI agents, and the ability to translate business requirements into impactful, production-ready solutions
- 4+ years of ServiceNow development experience, including:
- Scoped application development
- Now Assist agent setup and configuration
- Building and configuring assessments and surveys
- 3+ years in AI/ML development, with at least 1 year in agentic AI or LLM-based systems.
- Strong hands-on expertise in:
- JavaScript, Glide APIs for ServiceNow
- Python for AI workflows
- AI frameworks like LangChain, LlamaIndex, AutoGen (or similar)
- Experience with REST/SOAP APIs, IntegrationHub, Workflow Data Fabric, Service Now Control Tower, Flow Designer integrations.
- Familiarity with cloud-native deployment (AWS/Azure/GCP) and containerization (Docker, Kubernetes).
- Strong troubleshooting, debugging, and communication skills.
- ServiceNow Certified Application Developer or Certified Implementation Specialist.
- Familiarity with Agile/Scrum delivery methodologies.
- Hands-on experience with MLOps tools (MLflow, Weights & Biases) and data governance/security frameworks.
Roles & Responsibilities
ServiceNow Development
- Design, build, and maintain scoped applications using ServiceNow Studio.
- Develop and configure assessments, surveys, metrics, and custom reports for performance tracking.
- Build and implement Now Assist agents to enhance automation and self-service.
- Develop custom workflows using Flow Designer, Script Includes, Business Rules, and UI Policies.
- Integrate ServiceNow with external systems using REST/SOAP APIs, IntegrationHub, and scripted integrations.
- Collaborate with process owners across ITSM, ITOM, GRC, CMDB, and SecOps modules to align development with business objectives.
- Ensure security best practices and access control in scoped apps.
- Support testing, deployment, and documentation of developed features.
AI Agentic Systems Development
- Architect and develop agentic AI models capable of multi-step reasoning, planning, and execution.
- Rapidly prototype, iterate, and productionize AI agents and autonomous systems.
- Deploy models to cloud-native environments (AWS, Azure, GCP) with a focus on scalability, performance, and security.
- Implement retrieval-augmented generation (RAG), tool use (APIs, plugins), memory, and multi-agent orchestration.
- Design feedback loops for continuous improvement of AI systems.
- Stay current with LLMs, agentic AI frameworks, and autonomous system innovations.