Role: Python Developer with Generative AI

Location: New York, NY (Hybrid)

Duration: 6+ Months (Contract to Fulltime)

We are seeking a Senior Software Engineer with a strong hands-on background in software development. You will be coding daily, so a deep passion for building new systems and solving complex technical problems is essential.

In this role, you’ll take the lead on designing and building cloud-native applications using Client Azure. You’ll work extensively with artificial intelligence (AI), machine learning (ML), and agent based systems, where autonomous software agents collaborate to complete tasks.

Responsibilities

Write clean, maintainable code in C#, Typescript, or Python.
Design and implement cloud-native, agent-based systems from the ground up.
Leverage Azure-native services such as Azure Functions, Durable Functions, Event Grid, and API Management.
Develop monitoring and diagnostic tools to ensure system reliability and performance.
Rapidly prototype and experiment with new SDKs, APIs, and services to support dynamic AI and agentic workflows.
Build scalable, performant, and maintainable cloud applications and services.
Make architectural and design decisions that influence long-term system direction.
Integrate applications with APIs, databases, and machine learning or analytics tools.
Design and build serverless and event-driven architectures that scale with usage.
Advocate and follow best practices in software engineering, including unit testing, design patterns, and system observability.
Conduct code reviews and mentor peers to uphold high technical standards.

Requirements

7–10+ years of professional software development experience in backend or full-stack roles.
This is a 100% hands-on coding role.
Strong coding proficiency in one of the programming languages: C#, Java, or Python.
Hands-on experience with Azure SDKs, Azure Cognitive Services, or equivalent cloud platforms.
Demonstrated expertise in designing and developing scalable microservices and distributed systems, including experience modernizing legacy systems or leading greenfield development initiatives.
Experience with AI/ML technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and building ML pipelines.
Practical knowledge of autonomous agents, multi-agent systems, AI orchestration frameworks, and tools such as LangChain, AutoGen, or Semantic Kernel for building intelligent, collaborative software agents.
Solid understanding of serverless architecture and orchestration tools (e.g., state machines, event-driven systems).
Ability to learn and adapt quickly to new technologies.
Comfort working in agile, fast-paced, and iterative development environments.
Understanding of cloud security, compliance, and cost optimization best practices.
Strong collaboration and communication skills.

Nice to Have

Experience with Client Copilot Studio and building custom copilots using generative AI.
Experience fine-tuning Large Language Models (LLMs).
Familiarity with GraphQL, gRPC, or streaming technologies.
Experience building developer tools or platforms.
Familiarity with data lakes, data mesh, or real-time data processing tools such as Apache Beam or Apache Spark.

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