Lead Backend Engineer

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Company:

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About Team Geek Solutions

At Team Geek Solutions, we are innovators driven by cutting-edge technology. Our mission is to solve real-world problems using scalable backend systems and next-gen AI. We believe in a collaborative, forward-thinking culture where every engineer plays a pivotal role in building impactful products. Join us if you're ready to lead with purpose and innovate with passion.

Position Overview

Lead Backend Engineer

Key Responsibilities

• Lead and mentor a team of backend and AI engineers.
• Architect and develop robust backend solutions using 

  Java

   and 

  Python

  .
• Solve complex problems using 

  structured and unstructured data

  .
• Apply state-of-the-art LLMs (e.g. OpenAI, HuggingFace models) and build solutions using 

  LangChain

  , 

  Transformer

   models, and 

  PyTorch

  .
• Implement techniques like 

  Retrieval-Augmented Generation (RAG)

   to improve performance and capabilities of LLM-based systems.
• Own the development of 

  end-to-end ML pipelines

   including training, fine-tuning, evaluation, deployment, and monitoring (

  MLOps

  ).
• Collaborate with business and product teams to identify use cases and deliver AI-powered solutions.
• Stay updated with the latest advancements in AI and integrate best practices into development workflows.

Required Skills

• Proficiency in 

  Java

   and 

  Python

   with hands-on experience in both.
• Solid understanding of 

  Data Structures & Algorithms

  .
• Deep experience in 

  Transformer-based models

  , 

  LLM fine-tuning

  , and 

  deployment

  .
• Hands-on with 

  PyTorch

  , 

  LangChain

  , and 

  Python web frameworks

   (e.g., Flask, FastAPI).
• Strong database skills with 

  SQL

  .
• Experience in deploying and managing ML models in production environments.
• Leadership experience managing small to mid-sized engineering teams.

Preferred / Good-to-Have Skills

• Experience with 

  LLMOps

   tools and techniques.
• Exposure to cloud platforms (AWS/GCP/Azure) for model deployment.
• Strong written and verbal communication skills for technical and non-technical audiences.
• Passion for innovation and building AI-first products.