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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Developer/AI Engineer - **Company:** Matlen Silver - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $124,800.0 - $141,440.0 - **Contract:** Internship / Graduate position - **Skills:** Clean Code Principles, Artificial Intelligence, Applications Architecture, Software Quality, Data Structures, Python (Programming Language), NoSQL, Software Architecture, Tensorflow, Software Construction, Software Engineering, Systems Integration, Software Organization, Scripting, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, Fastapi, AI Platforms, Solid Principles, Production Code, Enterprise Integration, Virtual Agents, Api Design, Software Coding, Model Context Protocol - **Published:** October 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=40173dc357b4338d ## About the Role The ideal candidate will have 7+ years of professional Python development experience, strong software engineering fundamentals, and the ability to independently write high-quality code without relying on AI assistance during technical assessments. A deep understanding of AI theory is not required; familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration concepts is beneficial. Candidates must demonstrate strong problem-solving, critical-thinking, and independent engineering skills. Production-grade software development expertise is the top priority, with AI-specific knowledge considered a secondary skill that can be developed on the job., * 7+ years of professional Python development experience. Internships do not count toward the required experience. * Strong hands-on coding skills and the ability to develop solutions independently without AI assistance. * Strong understanding of Python fundamentals, including data structures, error handling, and application architecture. * Demonstrated experience developing, deploying, and maintaining production-grade applications. * Experience building APIs and backend services using FastAPI. * Experience with Unix/Linux environments and scripting. * Experience working with relational and NoSQL databases. * Strong problem-solving, analytical, and critical-thinking skills. * Ability to work independently and thrive in a fast-paced, collaborative environment. * Strong understanding of software development best practices, including writing clean, maintainable, scalable, and reliable code. Preferred Qualifications - AI / GenAIThe following skills are beneficial but are not mandatory. Conceptual knowledge is acceptable where hands-on implementation experience is limited. * Understanding of Large Language Model (LLM) concepts and AI-powered application development. * Familiarity with Retrieval-Augmented Generation (RAG), including retrieval patterns and orchestration concepts. * Knowledge of agentic AI and multi-agent systems. * Familiarity with Google Agent Development Kit (ADK). * Understanding of Model Context Protocol (MCP). * Knowledge of event-driven agent workflows and orchestration patterns. * Exposure to machine learning frameworks such as TensorFlow or PyTorch. * Experience prototyping or integrating AI technologies into production applications. Ideal Candidate ProfileThe successful candidate will be a hands-on engineer who combines strong Python development expertise with sound software design principles and practical problem-solving ability. The ideal candidate will demonstrate: * The ability to independently design, code, troubleshoot, and deliver production-ready applications. * Strong software engineering fundamentals and sound architectural judgment. * Critical thinking and the ability to solve complex technical problems. * A builder mindset with a focus on implementation, integration, and delivery. * Adaptability and the ability to learn emerging AI technologies as needed. * Effective collaboration and communication skills when working across technical teams. Important Hiring Considerations * Python engineering fundamentals are the highest priority. Candidates must have strong hands-on development experience and proven coding ability. * Independent coding is essential. Candidates should be able to demonstrate their technical skills without relying on AI tools during interviews or technical assessments. * Production experience is required. Candidates should have experience building and maintaining real-world applications, not just prototypes or proof-of-concepts. * Deep AI expertise is not required. Basic LLM knowledge and an understanding of RAG, retrieval, and orchestration concepts are sufficient. * Advanced AI technologies are a plus. Agentic AI, multi-agent systems, Google ADK, MCP, and event-driven workflows are desirable but not required. * Strong engineers take precedence over AI specialists. Candidates with extensive AI knowledge but weak Python fundamentals, software architecture, or production engineering experience are not a fit. Experience RequirementMinimum: 7+ years of professional Python development experience, excluding internships. Primary focus: Python engineering, production-grade application development, software architecture, and API development. Secondary focus: GenAI platform integration, LLM concepts, RAG, and AI orchestration. ## Description Job Description: Senior Python Developer / AI Engineer - GenAI PlatformRole OverviewWe are seeking a highly skilled Senior Python Developer / AI Engineer to design, develop, and implement a GenAI platform and associated business use cases. This role is primarily focused on strong software engineering, hands-on Python development, and building production-ready applications that integrate AI-powered solutions., * Design, develop, and oversee the end-to-end implementation of the GenAI platform and related business use cases. * Build scalable, resilient, maintainable, and reusable application architectures. * Develop production-ready Python applications and integrate AI-powered solutions into business workflows. * Design and implement software integration solutions involving AI platforms, applications, and supporting infrastructure. * Lead technical delivery and collaborate with cross-functional teams to deliver high-quality solutions. * Drive Software Development Life Cycle (SDLC) automation and initiatives focused on platform performance, scalability, and resiliency. * Research, prototype, and evaluate emerging AI technologies and potential solutions. * Apply software engineering best practices for code quality, architecture, error handling, testing, and production support. * Mentor team members on software design, coding standards, and development best practices.