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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MCP Solutions Architect - **Company:** Sightly Enterprises - **Location:** New York, NY, United States (Remote available) - **Salary:** $175,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Python (Programming Language), Next.js, SQL Databases, Systems Integration, Cloud Platform System, Large Language Models, Snowflake, Backend, Fastapi, Automation Anywhere, Docker - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eaef8d00c5f11e1e ## About the Role Do you have experience in Tooling?, * Strong understanding of MCP and how it differs from a traditional API * Hands-on experience with Claude, OpenAI, or similar LLM platforms * Familiarity with AI agents, tool calling, prompts, context windows, and structured outputs * Ability to understand tool schemas, parameters, logs, and common integration issues * Comfortable reading Python or backend code well enough to trace issues * Strong communication skills with both technical and non-technical audiences * Ability to turn vague client requests into clear workflows and implementation steps Nice to have: * Experience building or integrating MCP servers * Experience with LangChain, LangGraph, Vercel AI SDK, CrewAI, or similar frameworks * Familiarity with FastAPI, FastMCP, SQL, Snowflake, vector databases, or embeddings * Experience with Docker, auth, secrets, cloud environments, or log-based debugging * Experience in media, adtech, social listening, or marketing intelligence ## Description Sightly is building the cultural intelligence layer for modern media buying, and MCP is becoming a key way clients connect their AI agents, workflows, and internal tools directly to Brand Mentality's data and intelligence. As our MCP Solutions Architect, you will help agencies, brands, and partners understand how Sightly's MCP fits into their AI ecosystem. You'll translate client use cases into clear agentic workflows, support technical onboarding, and work closely with Product, AI Engineering, and Data teams to improve our MCP tools and integrations. This is a technical, client-facing role. You should be comfortable talking to AI engineers, product leaders, and media strategists, while also being technical enough to test tools, read logs, understand schemas, and help debug issues. What you'll work on: * Help clients understand how to use Sightly's MCP in their AI workflows * Translate client needs into clear MCP use cases and agent workflows * Support demos, pilots, onboarding, and technical discovery * Work with Product and Engineering to define new MCP tools and improvements * Troubleshoot tool call issues, integration problems, and unexpected agent behavior * Create documentation, examples, and best practices for clients * Act as the bridge between client technical teams and Sightly's internal teams ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [MCP Mashups: How AI Agents are Reviving the Programmable Web](https://www.wearedevelopers.com/videos/1392-mcp-mashups-how-ai-agents-are-reviving-the-programmable-web) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [API, MCP or MCP App? 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