AI/ML Engineer

We are seeking an innovative AI/ML Engineer with a strong background in Python and backend development to build and deploy advanced AI solutions. You will be responsible for developing scalable APIs, implementing LLM-driven workflows, and building Retrieval-Augmented Generation (RAG) pipelines. This role requires hands-on experience with frameworks like LangChain, proficiency in vector databases, and collaboration with cross-functional teams to bring robust AI features to production.

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.