Lead Backend Engineer – GenAI & LLMs (Java and Python)

Location:

Noida / Indore

Company:

Team Geek Solutions

Experience Required:

7–10 Years

Qualification:

Bachelor’s or Master’s in Computer Science & Engineering

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

We are looking for a highly skilled

Lead Backend Engineer

with strong command over

Java/Python

and a deep understanding of

GenAI and Large Language Models (LLMs)

. You will lead a team of developers and data scientists to build scalable backend architectures and AI-driven solutions, pushing the boundaries of what’s possible with today’s AI capabilities.

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.
  

Skills: algorithms,langchain,pytorch,sql,flask,transformer-based models,ml,java,llm fine-tuning,fastapi,data structures,models,data,mlops,python