Lead Python Engineer with LLM

Jobs
EPAM Systems

EPAM Systems

- Full Time

🌎 Remote

Posted on: 11 October, 2024

Lead Python Engineer with LLM

We are in search of a committed and skilled Lead Python Engineer to enhance our team’s efforts in developing multiple artificial intelligence proofs of concept (AI PoCs).

The selected candidate will oversee development processes, improve our systems, and participate in crafting innovative solutions utilizing large language models (LLM) and associated technologies.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

RESPONSIBILITIES

  • Oversee the creation and setup of custom GPTs on the ChatGPT platform
  • Develop and execute robust solutions with LangChain, LlamaIndex, and other LLM frameworks
  • Work with interdisciplinary teams to merge AI solutions into existing infrastructures
  • Manage the construction of retrieval-augmented generation (RAG) solutions
  • Deploy and manage applications using Docker
  • Keep AI applications up-to-date on Microsoft Azure
  • Guide junior developers and offer technical leadership
  • Supervise system performance and address issues when necessary
  • Keep abreast of the latest trends and developments in AI and machine learning
  • Aid in the growth of AI functionalities within the organization

REQUIREMENTS

  • 5+ years of experience in Python programming
  • 1+ years of relevant leadership experience
  • Skills in configuring and building custom GPTs on the ChatGPT platform
  • Experience with open-source LLM models like llama and mixtral
  • Background in devising solutions with LLM frameworks such as LangChain and LlamaIndex
  • Expertise in Docker and understanding of cloud platforms like Azure
  • Experience in developing RAG solutions and employing function calling methods
  • Excellent analytical and problem-solving skills
  • Strong capabilities in communication and collaboration

NICE TO HAVE

  • Previous involvement with AI PoCs
  • Contributions or publications in AI or machine learning fields

WE OFFER

  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within EPAM
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Consider relocation options in over 30 countries worldwide
  • Participate in volunteer, charity programs and communities (both technical and interest-based)
  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

Tags:
ai
ml
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