AI Engineer - Large Language Models

The Role :

We are looking for an AI Engineer / Generative AI Developer with good Python fundamentals and hands-on exposure to Large Language Models and modern AI development tools.

You will work with experienced developers and product teams to build AI-powered applications such as intelligent assistants, knowledge systems, workflow automation, data extraction tools, and AI agents.

This role is ideal for someone who has already experimented with Generative AI through projects or professional work and now wants to develop deeper practical experience building production-ready applications.

Key Responsibilities :

• Build Generative AI Applications : Develop applications using leading Large Language Models through APIs and existing AI platforms.

• Build AI Assistants and Simple Agents : Create conversational assistants and agentic workflows that can retrieve information, use tools, call APIs, and perform multi-step tasks.

• Implement RAG Systems : Build Retrieval-Augmented Generation solutions using documents, databases, embeddings, and vector search.

• Integrate APIs and Tools : Connect AI applications with external APIs, databases, business systems, and other software services.

• Prompt and Context Engineering : Design and improve prompts, system instructions, examples, retrieved context, and conversation history to improve the reliability of AI applications.

• Work with Structured and Unstructured Data : Prepare and transform data from documents, APIs, databases, spreadsheets, and other sources for use in AI applications.

• Build and Integrate APIs : Develop REST APIs and backend services that expose AI functionality to web and mobile applications.

• Test AI Outputs : Help create test cases and simple evaluation methods to measure the accuracy, relevance, and reliability of AI responses.

• Improve Reliability : Implement practical validation, error handling, retries, permissions, and guardrails around AI workflows.

• Deploy AI Applications : Assist with deploying and maintaining AI services in development and production environments.

• Learn Continuously : Keep up with developments in Generative AI and experiment with new models, frameworks, and techniques where they can improve our applications.

Required Qualifications : Software Development Fundamentals :

• Good proficiency in Python.

• Understanding of software development fundamentals and clean coding practices.

• Experience working with REST APIs and JSON.

• Familiarity with databases such as PostgreSQL, MySQL, MongoDB, or similar.