Senior Python Platform Engineer – AI Platform & GenAI

Lancesoft

New York (NY)

On-site

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

Lancesoft in New York, NY seeks a senior Python developer to help build a firmwide AI Development Platform and drive adoption of AI capabilities across the enterprise. You will design and maintain production-grade Python applications, APIs, and libraries, with a platform mindset and emphasis on modular, testable code.

The role requires hands-on experience with Kubernetes, cloud platforms (AWS, Azure, GCP), CI/CD (Jenkins) and modern software delivery practices.

Qualifications

  • 10+ years in software engineering, design and development.
  • 5+ years building and maintaining production Python apps or libraries with idiomatic Python and tests.
  • Experience in production development in Java or C# with strong design principles.
  • Strong APIs/SDKs design experience and modular, well-tested code.
  • Understanding of DI, data structures, and maintainable software design.
  • Familiarity with TDD, unit/integration testing and CI/CD (Jenkins).
  • Experience with Kubernetes workloads and cloud platforms.

Responsibilities

  • Develop tooling and self-service capabilities for deploying AI solutions using Kubernetes, Python, APIs, and REST frameworks.
  • Build reusable platform components to scale Generative AI use cases and model deployments.
  • Integrate with vector stores for embeddings and AI capabilities.
  • Define best practices for Generative AI ecosystems and tooling (GPT, Llama, LangChain).
  • Contribute to agentic orchestration and agent builder frameworks; participate in Agile ceremonies.

Skills

Python
Distributed systems
Agile/Scrum
APIs
CI/CD
DevOps
Communication

Education

Bachelor's or Master's in Computer Science

Tools

Kubernetes
AWS
Azure
GCP
LangChain
OpenTelemetry

Job description

Lancesoft in New York, NY seeks a senior Python developer to help build a firmwide AI Development Platform and drive adoption of AI capabilities across the enterprise. You will design and maintain production-grade Python applications, APIs, and libraries, with a platform mindset and emphasis on modular, testable code.

The role requires hands-on experience with Kubernetes, cloud platforms (AWS, Azure, GCP), CI/CD (Jenkins) and modern software delivery practices.

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