Agentic Solutions Engineer

About the Role

We’re hiring an Agentic Solutions Engineer to be the hands‑on technical backbone supporting our Agentic Solutions Architect and the broader delivery team. This is a builder’s role: you design, develop, and maintain the API‑first, MCP‑enabled infrastructure that powers our autonomous marketing workflows and AI‑driven client solutions.

You’ll architect and implement the service layer that connects everything—MCP servers, REST APIs, Django backends, and React‑powered admin interfaces—enabling the Architect to design agentic systems that actually ship. If you love writing clean Python and Type Script, building reliable API infrastructure, and want to work at the bleeding edge of AI tooling, this role was built for you.

This is NOT a generalist Dev Ops or data engineering role. You specialize in API‑first design, MCP protocol implementation, and full‑stack internal tooling for agentic systems. You are the engineer who makes the Architect’s blueprints real.

Perfect for someone with a strong backend and full‑stack background who is passionate about applying cutting‑edge AI tooling to solve real‑world marketing technology problems.

API-FIRST INFRASTRUCTURE & MCP ENGINEERING

• Design, build, and maintain RESTful and GraphQL APIs that serve as the backbone of agentic workflow systems.
• Implement Model Context Protocol (MCP) servers that expose tools, resources, and prompts to LLM agents—enabling Claude and other agents to interface with internal and external data and services.
• Develop webhook receivers, event‑driven triggers, and real‑time communication layers (Web Sockets, SSE) to support autonomous agent pipelines.
• Ensure APIs are secure, versioned, rate‑limited, and observable with proper logging and distributed tracing.
• Build and maintain the internal MCP server registry; keep tool schemas, descriptions, and input validation accurate and up to date.

BACKEND ENGINEERING — DJANGO

• Build and extend Django‑based backend services that power internal tools, client data pipelines, and agent orchestration APIs.
• Design PostgreSQL schemas for agentic workflow state, job queuing, and audit trails.
• Implement Django REST Framework (DRF) endpoints consumed by React frontends and external agent clients.
• Develop background task processing using Celery and Temporal or similar for async agent jobs, polling loops, and scheduled automations.
• Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta, Google, GA4), and data warehouses (Snowflake).

FRONTEND TOOLING — REACT & REACT-ADMIN

• Build internal admin dashboards using React‑Admin to surface agentic workflow status, inspect agent job runs, and manage MCP server configurations.
• Develop React‑based monitoring and configuration UIs for the Architect and delivery teams.
• Create reusable React components and hooks for common UI patterns across internal tool surfaces.
• Integrate frontend tooling with Django/DRF backends and MCP‑driven data sources.

AGENTIC TOOLING & DEVELOPER ENABLEMENT

• Develop and maintain a reusable Python + Type Script SDK of pre‑built agent tools—platform API wrappers, data warehouse clients, webhook handlers—so new MCP servers and workflows can be stood up faster.
• Support the Architect in prototyping and evaluating new agentic frameworks (Flowise, Lang Chain, custom orchestration).
• Document MCP servers, API contracts, and SDK usage so the broader engineering team can build on your infrastructure.
• Test and validate the accuracy and reliability of API outputs, MCP tool responses, and agentic workflow integrations.

REQUIRED EXPERIENCE:

• 3–6 years in backend or full‑stack engineering roles, ideally at an agency, SaaS, or data/AI company.
• Expert‑level Python: you write clean, tested, idiomatic Python for APIs, data pipelines, and LLM integrations daily.
• Hands‑on experience building and consuming REST APIs—you understand OAuth2, JWT, API versioning, pagination, and webhook security.
• React experience: you can build functional, component‑driven UIs and are familiar with hooks, state management, and API integration patterns.
• Familiarity with relational databases (PostgreSQL preferred) and ability to write efficient…