Senior AI Native Developer

Role Description

We are seeking a Senior AI Native Developer to deliver production-grade agentic software implementations while collaborating closely with the Solution Architect on infrastructure and with AI Coaches on workflow design.

• Build greenfield BMAD agents and custom workflows prioritised by Cost of Delay across identified use cases
• Deploy and maintain hosted MCP servers within the cloud environment
• Migrate team-level BMAD workflows from local execution (L2) to cloud-hosted agents (L3) by end of October
• Implement SSO/auth integrations to connect agents securely within the client's identity infrastructure
• Build integrations with 3rd-party services as required by CoD-prioritised use cases
• Participate in code reviews, engineering design sessions, and internal demos throughout the engagement
• Support evals setup and contribute to observability instrumentation for deployed agents
• Work with AI Coaches to translate workflow designs into deployable agent implementations

Qualifications

• 4+ years of software development experience, with at least 1 year building LLM-powered or agentic applications
• Proficiency in Python, with familiarity with JavaScript/TypeScript as a plus
• Experience with cloud deployment using AWS Lambda, GCP Cloud Run, or Azure Functions (or equivalent)
• Hands-on experience with MCP server setup, tool use, and multi-agent orchestration
• Understanding of SSO protocols such as OAuth 2.0, SAML, and OIDC, along with enterprise auth integration
• Comfort working in fixed price, outcome-based engagements with evolving requirements and rapid iteration cycles
• Strong written communication for async collaboration across time zones
• English proficiency at B2 level or higher

Requirements

• Background in BMAD framework or equivalent agentic workflow tooling
• Familiarity with UCaaS, SaaS, or telephony integration APIs
• Experience shipping agentic systems used by non-technical end users