AI/ML Developer (Python)

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About the Role

AI/ML Developer

Key Responsibilities

• Design, develop, and maintain a scalable

  backend architecture

  for an LLM-based chatbot.
• Build, document, and optimize

  RESTful APIs

  and

  microservices

  to interface with the frontend, databases, and AI models.
• Integrate

  open-source LLMs

  (e.g., LLaMA, Mistral, Falcon, GPT-J) using frameworks like

  HuggingFace

  ,

  Ollama

  , or

  LangChain

  .
• Implement and manage the

  MCP (Modular Chatbot Platform)

  design pattern for scalable component interactions.
• Perform

  web scraping and data automation

  using reliable tools to collect and structure high-quality data.
• Handle

  LLM fine-tuning

  , embeddings generation, and

  vector database

  integration (FAISS, ChromaDB, Pinecone).
• Collaborate with frontend, product, and data teams to improve chatbot accuracy, performance, and user experience.
• Ensure

  security

  ,

  performance

  , and

  robustness

  of backend and API infrastructure.
• Write clean, tested, and documented code; participate in regular

  code reviews

  and design discussions.

Required Skills

• Strong programming skills in

  Python

  with a solid foundation in

  Data Structures and Algorithms

• Hands-on with

  NumPy, Pandas, Scikit-learn, TensorFlow, Keras

• Proven backend experience using

  FastAPI

  ,

  Flask

  , or

  Django

• Experience with

  Transformers

  and

  LLM frameworks

  (HuggingFace, LangChain, LlamaIndex)
• Solid grasp of

  RESTful API development

  , microservices, and async programming
• Knowledge of

  web scraping tools

  like BeautifulSoup, Scrapy, Selenium, or Playwright
• Familiar with

  LLM training

  ,

  prompt engineering

  , and

  RAG pipelines

• Understanding of

  vector databases

  (FAISS, ChromaDB, Weaviate, Pinecone)
• Familiarity with

  MCP (Modular Chatbot Platform)

  design or similar scalable architectures
• Experience with

  Git

  , CI/CD, and Linux terminal usage
• Good understanding of

  authentication

  ,

  rate limiting

  , and backend

  security practices

Nice to Have

• Experience with

  containerization (Docker)

  and deploying ML models to the cloud (GCP, AWS, Azure)
• Exposure to

  GCP Vertex AI

  ,

  AWS SageMaker

  , or

  Azure AI Services

• Familiar with

  MLOps tools

  like MLflow, Weights & Biases, or DVC
• Experience working with

  OpenAI

  ,

  Mistral

  ,

  Anthropic

  , or

  Cohere

  APIs
• Prior experience in

  chatbot development

  ,

  NLP applications

• Ability to collaborate with frontend frameworks (React, Next.js, Streamlit)

Education

• Bachelor’s or Master’s degree in

  Computer Science, Artificial Intelligence, Data Science

  , or a related field
• Equivalent hands-on experience in industry projects and open-source contributions is also considered

What We Offer

• Competitive salary: ₹6 – ₹10 LPA (depending on experience and expertise)
• End-to-end ownership and leadership on greenfield AI projects
• Access to

  GPUs

  ,

  paid API credits

  , and cutting-edge LLM tools
• Fully remote-first culture with flexible work timings
• An opportunity to work in a

  fast-paced

  ,

  product-driven environment

  with real-world impact

How to Apply

resume

to: hr.india@orisoninfosystem.com

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