AI/ML Engineer

Role Overview

We are looking for a highly skilled AI/ML Engineer with 4–7 years of experience to design, develop, and integrate AI-powered solutions into modern SaaS products. You will work closely with product, engineering, and architecture teams to build scalable and production-ready AI solutions.

Responsibilities

• Design, develop, and implement AI/ML solutions for SaaS products.
• Build scalable AI services using Python, FastAPI, and microservices architecture.
• Develop conversational AI solutions using LLMs, LangChain, and modern AI frameworks.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
• Work on prompt engineering, embeddings, retrieval workflows, and LLM integration.
• Design and integrate Vector Databases for semantic search and knowledge retrieval.
• Develop and deploy AI-powered features and services in production environments.
• Optimize AI workflows for performance, scalability, reliability, and cost.
• Collaborate with product and engineering teams to identify and implement AI use cases.
• Participate in system architecture and AI platform design discussions.
• Implement testing, monitoring, documentation, and deployment processes for AI services.
• Stay updated with emerging technologies in Generative AI, LLMs, and Machine Learning.

Requirements

• 4–7 years of experience in AI/ML Engineering or related software development roles.
• Strong proficiency in Python and Object-Oriented Programming.
• Hands-on experience with LLMs and Generative AI.
• Minimum 3 years of recent experience with LLM/GenAI technologies preferred.
• Strong hands-on experience with LangChain or similar LLM orchestration frameworks.
• Experience building RAG pipelines and semantic retrieval systems.
• Hands-on experience with Vector Databases such as Pinecone, ChromaDB, Qdrant, FAISS, or Weaviate.
• Experience with FastAPI or similar Python backend frameworks.
• Strong understanding of microservices and distributed systems.
• Experience integrating AI capabilities into SaaS or production applications.
• Experience with REST APIs and AI service deployment.
• Strong analytical, debugging, and problem-solving skills.
• Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related field.

Skills

• Python
• LangChain
• LLMs
• FastAPI
• Vector Databases

Good to Have

• Experience with LangGraph, LlamaIndex, Hugging Face, OpenAI, Anthropic, or Azure OpenAI.
• Knowledge of AI agents and agentic workflows.
• Experience with AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• Experience with CI/CD and MLOps.
• Knowledge of NLP, Computer Vision, or document processing.
• Experience with model fine-tuning and inference optimization.

Benefits

• Flexible schedule
• Food provided
• Provident Fund