Python Developer/AI Engineer

Job Description

Job Title: Python Developer/AI Engineer

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Duration: 18 Month W2 Contract

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Location:NYC/Jersey City

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Required Pay Scale: $60-$68/hour

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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.

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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.

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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.

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Key Responsibilities

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• Design, develop, and oversee the end-to-end implementation of the GenAI platform and related business use cases.
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• Build scalable, resilient, maintainable, and reusable application architectures.
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• Develop production-ready Python applications and integrate AI-powered solutions into business workflows.
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• Design and implement software integration solutions involving AI platforms, applications, and supporting infrastructure.
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• Lead technical delivery and collaborate with cross-functional teams to deliver high-quality solutions.
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• Drive Software Development Life Cycle (SDLC) automation and initiatives focused on platform performance, scalability, and resiliency.
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• Research, prototype, and evaluate emerging AI technologies and potential solutions.
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• Apply software engineering best practices for code quality, architecture, error handling, testing, and production support.
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• Mentor team members on software design, coding standards, and development best practices.
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Required Qualifications

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• 7+ years of professional Python development experience. Internships do not count toward the required experience.
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• Strong hands-on coding skills and the ability to develop solutions independently without AI assistance.
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• Strong understanding of Python fundamentals, including data structures, error handling, and application architecture.
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• Demonstrated experience developing, deploying, and maintaining production-grade applications.
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• Experience building APIs and backend services using FastAPI .
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• Experience with Unix/Linux environments and scripting.
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• Experience working with relational and NoSQL databases.
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• Strong problem-solving, analytical, and critical-thinking skills.
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• Ability to work independently and thrive in a fast-paced, collaborative environment.
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• Strong understanding of software development best practices, including writing clean, maintainable, scalable, and reliable code.
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Preferred Qualifications – AI / GenAIThe following skills are beneficial but are not mandatory. Conceptual knowledge is acceptable where hands-on implementation experience is limited.

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• Understanding of Large Language Model (LLM) concepts and AI-powered application development.
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• Familiarity with Retrieval-Augmented Generation (RAG), including retrieval patterns and orchestration concepts.
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• Knowledge of agentic AI and multi-agent systems.
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• Familiarity with Google Agent Development Kit (ADK).
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• Understanding of Model Context Protocol (MCP).
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• Knowledge of event-driven agent workflows and orchestration patterns.
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• Exposure to machine learning frameworks such as TensorFlow or PyTorch.
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• Experience prototyping or integrating AI technologies into production applications.
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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.

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The ideal candidate will demonstrate:

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• The ability to independently design, code, troubleshoot, and deliver production-ready applications.
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• Strong software engineering fundamentals and sound architectural judgment.
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• Critical thinking and the ability to solve complex technical problems.
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• A builder mindset with a focus on implementation, integration, and delivery.
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• Adaptability and the ability to learn emerging AI technologies as needed.
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• Effective collaboration and communication skills when working across technical teams.
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Important Hiring Considerations

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• Python engineering fundamentals are the highest priority. Candidates must have strong hands-on development experience and proven coding ability.
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• Independent coding is essential. Candidates should be able to demonstrate their technical skills without relying on AI tools during interviews or technical assessments.
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• Production experience is required. Candidates should have experience building and maintaining real-world applications, not just prototypes or proof-of-concepts.
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• Deep AI expertise is not required. Basic LLM knowledge and an understanding of RAG, retrieval, and orchestration concepts are sufficient.
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• Advanced AI technologies are a plus. Agentic AI, multi-agent systems, Google ADK, MCP, and event-driven workflows are desirable but not required.
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• 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.
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Experience Requirement Minimum: 7+ years of professional Python development experience, excluding internships.

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Primary focus: Python engineering, production-grade application development, software architecture, and API development.

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Secondary focus: GenAI platform integration, LLM concepts, RAG, and AI orchestration.