AI Full Stack Engineer

AI Full Stack Engineer

Key Responsibilities

• Build and maintain scalable AI-driven applications using

  Python

  .
• Design, implement, and optimize

  LLM-powered solutions

  with frameworks such as

  LangChain, LlamaIndex, and OpenAI APIs

  .
• Work with

  Large Language Models (LLMs)

  including GPT-4, LLaMA, and vector databases (e.g.,

  Pinecone, ChromaDB, FAISS

  ) to deliver intelligent solutions.
• Ensure application

  performance, scalability, and low latency

  for production-grade AI systems.
• Collaborate with cross-functional teams to

  define requirements and deliver impactful AI features

  .
• Conduct

  code reviews

  and contribute to best practices in software design and architecture.
• Integrate applications with

  databases

  for efficient storage, retrieval, and embeddings.
• Deploy and manage solutions on

  AWS cloud infrastructure

  .
• Apply advanced

  data processing, chunking, embedding, and similarity search techniques

  .
• Demonstrate strong problem-solving and analytical skills to tackle real-world AI challenges.

Key Requirements

• Bachelor’s/Master’s in Computer Science, Engineering, or related field

  .

• 6+ years of professional experience

  as a Python Developer, with significant exposure to

  AI/ML applications

  .
• Strong expertise in

  Python frameworks

  (Django, Flask, or similar) with AI/ML integration.
• Proven experience with

  AWS cloud services

  for scalable AI deployments.
• Proficiency in

  vector databases

  and

  similarity search techniques

  (e.g., cosine similarity).
• Hands-on experience with

  data pipelines

  ,

  LLM integration

  , and AI workflows.
• Excellent communication and collaboration skills, with the ability to work in a fast-paced environment.

Why Join Us?

• Work on

  cutting-edge AI and SaaS products

  that have a real impact on enterprises.
• Be part of a

  high-growth company

  shaping the future of AI-powered software.
• Tackle challenging problems daily and drive

  innovation in AI applications

  .
• Collaborate with a

  world-class team of AI and engineering experts

  .
• Enjoy a

  flexible work culture

  that values creativity, ownership, and growth.
• Competitive

  compensation and benefits package

  .