Senior AI-Native Software Engineer POST NUMBER: 233517
We’re partnering with a rapidly growing consumer-facing organization building an internal enterprise AI orchestration platform focused on intelligent support, enterprise knowledge retrieval, workflow automation, and AI-enabled experiences across field operations and corporate teams.
This is not a traditional software engineering role centered around a specific language or framework. The team is looking for a strong senior engineer who remains highly hands-on technically, thinks in systems, and uses AI-assisted development tools to accelerate delivery of production-ready software.
The environment is highly integration-focused and product-oriented, with an emphasis on building scalable internal platforms and operational tooling rather than isolated AI demos or prototypes.
What You’ll Be Doing
- Build AI-enabled internal applications and workflow experiences across desktop and mobile contexts
- Develop secure API-first integrations across enterprise systems, SaaS platforms, and internal services
- Design and implement agentic workflows capable of retrieving knowledge, calling tools, and automating operational tasks
- Work closely with architecture, product, and business stakeholders to translate ambiguous operational challenges into working software
- Use AI-assisted development tooling such as Cursor, Claude Code, GitHub Copilot, or similar platforms to accelerate engineering delivery
- Review, validate, and harden AI-generated code for production use
- Contribute to scalable engineering patterns, integration standards, and platform architecture decisions
- Build with strong attention to testing, observability, maintainability, and security
Required Skills & Experience
- 4 years of professional software engineering experience
- Strong background in application, platform, or full stack engineering
- Experience building production-grade enterprise applications, integrations, or internal platforms
- Strong API and systems integration experience
- Familiarity with API gateway or service gateway platforms such as Kong, Apigee, AWS API Gateway, or similar technologies
- Experience working directly with business stakeholders and operating in ambiguous environments
- Hands-on experience using AI-assisted development workflows in real-world software delivery
- Strong systems thinking and product mindset
- Experience with CI/CD, automated testing, observability, and secure engineering practices
Preferred Experience
- Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar
- MCP, tool-calling, or function-calling workflows
- RAG, vector search, embeddings, or enterprise knowledge retrieval systems
- AWS Bedrock or enterprise LLM platforms
- Experience with enterprise automation or orchestration tooling
- Familiarity with Workato, MuleSoft, Boomi, or similar iPaaS platforms
- Exposure to retail, restaurant, field operations, or enterprise support environments
- Experience integrating platforms such as Zendesk, Workday, Teams, Snowflake, Datadog, or similar enterprise systems
- Mobile application exposure is helpful but not required
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