AI/ML Engineer

AI/ML Engineer

Roles & Responsibilities:

• Develop and maintain scalable backend APIs and services in

  Python (3.11+)

  using

  FastAPI

  .
• Design and implement

  LLM-driven solutions

  , including prompt engineering and intelligent AI agent workflows.
• Build and deploy

  Retrieval-Augmented Generation (RAG) pipelines

  using vector databases such as Weaviate and Neo4j.
• Leverage

  LangChain and LangGraph

  for orchestrating LLM interactions and knowledge graph tasks.
• Integrate and manage data storage with

  Firebase Firestore

  or similar NoSQL databases on Google Cloud Platform (GCP).
• Process, clean, and analyze text data using

  NLP techniques

  to feed into AI pipelines.
• Collaborate with cross-functional teams to translate requirements into robust AI features.
• Create dashboards and developer tools using

  JavaScript/TypeScript

  for monitoring and analytics of AI systems.
• Ensure code quality and follow best practices (testing, CI/CD) for reliable production deployments.

Skills Required:

• Strong focus on

  Python (3.11+)

  and backend development.
• Proficiency with

  FastAPI

  or similar Python web frameworks.
• Hands-on experience with

  LLMs (Large Language Models)

  and Generative AI, including prompt engineering.
• Solid experience with

  LangChain and LangGraph

  (or equivalent frameworks).
• Proven track record in building

  RAG systems

  and deploying AI agents in production.
• Proficient in using

  vector databases like Weaviate

  .
• Strong

  NLP and text data processing skills

  .
• Experience with

  GCP

  services and

  Firebase Firestore

  .
• Basic proficiency in

  c/TypeScript

  .
• Excellent problem-solving, communication, and teamwork skills.
• Experience with

  Docker, Kubernetes

  , and

  CI/CD pipelines

  is a plus.

QUALIFICATION:

• Bachelor's degree in Computer Science, AI, or a related technical field, or equivalent practical experience.