> Markdown version of [/jobs/ext/3786038-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/3786038-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer - **Company:** JOB STREAM CORP. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $111,000 - $135,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Python (Programming Language), Large Language Models, Agentic-AI, Api Management - **Published:** October 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3a1970edeaeab15e ## About the Role * Bachelor's degree with 8+ years of relevant experience, master's degree with 5+ years, or PhD with 3+ years. * Demonstrated experience developing and deploying production software using Python. * Hands-on experience building and deploying LLM-powered applications, retrieval systems, and AI agents. * Experience developing MCP servers, API integrations, or comparable connectors in production environments. * Ability to collaborate directly with non-technical stakeholders, lead technical discovery, scope projects, and deliver solutions aligned with business needs. * Strong communication, problem-solving, and cross-functional collaboration skills. ## Description This role will work closely with engineering teams and business stakeholders to identify automation opportunities, implement production-ready AI solutions, and ensure internal teams have the documentation, training, and resources needed to manage these solutions independently., * Collaborate with engineering teams and business stakeholders to assess workflows and identify opportunities for AI-driven automation. * Design, develop, and deploy agent-based AI applications and process automation solutions. * Build secure API integrations, MCP servers, and data connectors to connect internal systems and data sources. * Implement solutions leveraging large language models (LLMs), retrieval techniques, and tool calling. * Develop reusable templates, frameworks, and internal tools to accelerate future automation initiatives. * Deliver comprehensive documentation, training, and operational runbooks to support long-term solution ownership.