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Senior Software Engineer

2 months ago

New York, New York, United States Avant Tech Full time
{"title": "Full Stack Engineering Lead", "subtitle": "Drive AI Innovation at Avant Tech", "content": "

About the Role:

Avant Tech is seeking a skilled Full Stack Engineering Lead to join our Engineering Operations division. This is a contract to hire position (full time after 6 months on contract) that focuses on the most modern technology and engineering disciplines, including generative AI, cloud computing, security, modern app stacks (Golang, Gatekeeper), open source technologies, and the latest in the Kubernetes ecosystem.

We are seeking an innovative engineering leader to join our clients Operations Engineering and Architecture team. This team is dedicated to shaping the future of operations technology by reducing process friction, errors, and manual effort. As a key player, you\u2019ll guide the technical direction of products and services, establish engineering best practices, and lead cultural change throughout the organization. You\u2019ll also have the opportunity to work with Generative AI technologies, embedding their capabilities into our systems through prompt engineering.

This position is ideal for those passionate about AI, LLMs, and love programming. You\u2019ll contribute to building scalable, robust solutions in a fast-paced environment.

Key Responsibilities:

  • Contribute to both engineering and research efforts.
  • Develop robust, scalable, and user-friendly AI solutions.
  • Work in a fast-paced environment tackling cutting-edge problems.
  • Pair program, embrace lean methodologies, and eliminate bureaucracy.
  • Deliver iterative solutions and pivot as needed.
  • Develop foundational components and mature AI/LLM technologies.
  • Drive enterprise-wide adoption of AI and LLMs.

Required Skills:

  • Deep hands-on knowledge of Kubernetes and scalable backend platforms.
  • Fluency in at least two programming languages, preferably Python, JavaScript/TypeScript, or Golang.
  • Experience designing control and sandboxing systems for AI research.
  • Proficiency with PyTorch and TensorFlow.
  • Experience with bug bounty and responsible disclosure programs.
  • Understanding of language models and transformers.
  • Expertise in vector stores and search algorithms.
  • Large-scale ETL development experience.
  • Proven experience with high-performance, large-scale AI/ML systems.
  • Experience supporting fast-paced startup engineering teams.
  • Familiarity with LangChain and potential contributions to the project.

In your application, please share a specific AI engineering project related to LLMs that you\u2019re proud of. This should showcase complex architectures, clever designs, or a systematic evaluation of an LLM\u2019s behavior.

", "lang_code": "en-US"}