AI Engineer

Role Overview

We’re looking for an AI Engineer with 3+ years of hands-on experience building and deploying AI-powered applications. You’ll work on real-world AI products, integrate modern AI models into applications, and take solutions from concept to production.

Responsibilities

• Build and deploy AI/ML applications for real-world use cases.
• Work with LLMs, Generative AI, RAG pipelines, AI agents, and AI APIs.
• Develop and optimize AI workflows and model integrations.
• Build backend services and APIs for AI-powered products.
• Work with vector databases, embeddings, prompt engineering, and knowledge retrieval.
• Evaluate model performance, accuracy, latency, and cost.
• Integrate AI solutions with existing software, databases, and business systems.
• Collaborate with product, design, and engineering teams to build scalable solutions.
• Deploy, monitor, and continuously improve AI applications in production.

Requirements

• 3+ years of professional experience in AI/ML, Machine Learning Engineering, or related software engineering roles.
• Strong proficiency in Python.
• Hands-on experience with LLMs and Generative AI.
• Experience with frameworks/tools such as LangChain, LlamaIndex, OpenAI APIs, or equivalent.
• Experience building RAG-based applications and AI agents.
• Good understanding of APIs, databases, and backend development.
• Experience with vector databases and embeddings.
• Understanding of ML concepts, model evaluation, and optimization.
• Experience with Git, Docker, and cloud platforms is preferred.
• Strong problem-solving and analytical skills.

Nice to Have

• Experience fine-tuning or working with open-source LLMs.
• Experience with AWS / Azure / GCP.
• Experience with AI observability and evaluation frameworks.
• Experience deploying AI applications at scale.
• Knowledge of MLOps / CI-CD.
• Experience building AI products from scratch.

Skills

• Python
• LangChain
• LLMs
• Vector Databases
• Docker

Benefits

• Food provided