Python Backend & Ai Integration Consultant

The Software Engineering Consultant is a backend-focused role with hands-on data platform and large language model (LLM) experience. This consultant will design, build, and deploy scalable services and integrations for business-critical applications. Success requires strong Python skills, production-ready coding standards, and effective collaboration in a client-facing consulting environment.Key ResponsibilitiesDesign and build backend services and REST APIs using Python (FastAPI, Flask, Django);
occasional Node.Js/TypeScript as neededDevelop distributed microservices with token-based authentication and role-based access controlsIntegrate applications with third-party systems, external APIs, and Snowflake for data access and transformationBuild LLM-powered features including model APIs, prompt workflows, structured outputs, and retrieval-augmented generation (RAG) applicationsWrite secure, modular code with unit, integration, and automated testsParticipate in Git workflows, code reviews, and CI/CD pipelinesTroubleshoot application issues across integrations, data, and production environmentsCollaborate with teams to translate requirements into implementation plans and technical documentationRequired Qualifications
3–5 years of software development or consulting experienceStrong Python proficiency with at least one framework (FastAPI, Flask, Django)Working knowledge of Node.Js/TypeScriptSolid grasp of REST API design, microservices, authentication, and service-to-service integrationExperience with Git workflows, CI/CD, and automated testingHands-on Snowflake experience (data migration, querying, app integration)Proficiency integrating LLMs via hosted model APIs or enterprise AI platformsStrong debugging, communication, and problem-solving skillsPreferred Qualifications
Experience in consulting environments with client-facing responsibilitiesBackground in enterprise data platforms or AI-driven applicationsFamiliarity with cloud infrastructure and containerization (Docker, Kubernetes)Certifications
None required;
cloud or AI certifications (AWS, GCP, Azure, or AI/ML specialization) preferred
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