Python/AI Engineer

Description

Python/AI Engineer

18 Month W2 Contract

NYC- Hyrbird 3 days onsite

$60-$68/hour

Python Developer/ AI Engineer

Project Details

• Develop core Agent Runtime capabilities and reusable platform services.
• Build agent orchestration, memory management, context management, and runtime execution capabilities.
• Develop APIs, SDKs, and platform components for scalable AI adoption.
• Implement platform guardrails, security controls, governance, and policy enforcement capabilities.
• Build testing, benchmarking, evaluation, and observability frameworks.
• Troubleshoot runtime, performance, integration, scalability, and operational issues.
• Conduct proof-of-concepts and evaluate emerging AI technologies.
• Participate in full SDLC activities including requirements analysis, design, development, testing, and deployment.
• Conduct code reviews and contribute to engineering standards and best practices.

Must Haves / Required Skills:

7 years of experience minimum, internships do not count

• Python.
• FastAPI.
• Asynchronous programming (async/await).
• API design and integration.
• MongoDB.
• Redis.
• Skills / Experience That Are A Plus

"nice to have", but not necessarily required:

• LangChain.
• LangGraph.
• Dependency injection.
• Background processing.
• Automated testing (unit, integration, regression, performance, evaluation).
• CI/CD pipeline development.
• Enterprise application development.
• Security controls, governance, policy enforcement, and guardrails.
• Look for candidates with enterprise platform engineering, API development, testing automation, CI/CD, and distributed systems experience.
• Experience building reusable frameworks, SDKs, platform services, and developer tooling is highly relevant.
• AI agent framework experience (LangChain, LangGraph, etc.) is beneficial but not required.

We are seeking a Software Engineer to help develop AI solutions. In this role, you will ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.

This includes requirements analysis, architecture design, coding, testing, and deployment. Job expectations include a considerable amount of knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

• Design, develop, and enhance core Agent Runtime capabilities and reusable platform services that enable the development, deployment, orchestration, and management of AI agents.
• Implement agent platform features, including tool integration frameworks, orchestration logic, memory management, context management, and runtime execution capabilities.
• Develop and maintain platform controls, guardrails, policy enforcement mechanisms, and safety capabilities to support secure and compliant use of Generative AI solutions.
• Build and enhance evaluation frameworks, automated testing capabilities, benchmarking tools, and observability solutions to measure agent quality, reliability, safety, and performance.
• Design and implement APIs, SDKs, and platform components that enable scalable adoption of agent capabilities across engineering teams.
• Translate business, product, and technical requirements into robust software solutions while adhering to enterprise architecture, security, and compliance standards.
• Execute story refinement, technical analysis, solution design, and effort estimation activities throughout the software development lifecycle.
• Perform proof-of-concept development and technical experimentation to evaluate emerging AI technologies, frameworks, and design patterns.
• Develop and maintain automated unit, integration, regression, performance, and evaluation test suites to ensure platform stability and reliability.
• Troubleshoot and resolve complex issues involving agent execution, model integration, runtime performance, scaling, observability, and platform operations.
• Optimize platform components for performance, reliability, scalability, and cost efficiency across production environments.
• Conduct peer code reviews and contribute to engineering standards, development practices, and reusable patterns that improve overall platform quality.
• Ensure delivered solutions meet defined expectations for functionality, security, governance, quality, reliability, and operational supportability.

Experience Required:

• 7+ years of professional software engineering experience designing, developing, and supporting enterprise-grade applications and platform services.
• Strong experience developing Python-based services using FastAPI, asynchronous programming patterns (async/await), API design, dependency injection, background processing, and integration with external systems and services.
• Experience developing reusable platform capabilities, SDKs, frameworks, or shared services used by multiple engineering teams.
• Experience implementing security controls, policy enforcement, guardrails, governance capabilities, and observability solutions for enterprise applications.
• Experience designing and implementing automated testing frameworks, including unit, integration, regression, performance, and evaluation testing.
• Experience developing CI/CD pipelines and automating software build, deployment, and release processes.
• Strong troubleshooting and debugging skills with the ability to diagnose and resolve complex application, runtime, performance, and integration issues.
• Experience working in Agile development environments and participating in requirements analysis, technical design, estimation, and software delivery.
• Strong analytical, problem-solving, and communication skills with the ability to work effectively across engineering, product, and architecture teams.

Experience Desired (not essential):

• Kubernetes/OpenShift
• Kafka and event-driven architecture
• MongoDB and Redis
• LangChain, LangGraph, or similar agent frameworks
• OpenTelemetry and Splunk
• Galileo, LangSmith, or similar AI evaluation and observability tools