M
Python Developer/AI Engineer
Matlen Silver
1 hour ago
Full-time
On-site
New York City, New York, United States
Job Title: Python Developer/AI Engineer
Duration: 18 Month W2 Contract
Location:NYC/Jersey City
Required Pay Scale: $60-$68/hour
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. 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. Key Responsibilities
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.
Required Qualifications
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 Requirement Minimum:
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.
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. 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. Key Responsibilities
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.
Required Qualifications
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 Requirement Minimum:
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.