Associate AI Engineer

Overview

We are looking for a motivated and curious Associate AI Engineer to join our growing AI team. This role is ideal for recent graduates or early-career professionals (up to 1 year of experience) with strong Python fundamentals and a genuine interest in Artificial Intelligence and emerging technologies.

You will work alongside experienced engineers on real-world projects involving AI/ML, Generative AI, Agentic AI, and cloud technologies. This is a hands-on learning role with structured mentorship and a clear path to growth as an AI Engineer.

Key Responsibilities

Development

Write clean, well-structured Python code for applications, scripts, and AI-powered features.

Assist in building Generative AI and LLM-based applications using APIs from providers such as OpenAI, Anthropic, or Google Gemini.

Support the development of RAG (Retrieval-Augmented Generation) pipelines, including data preparation, embeddings, and vector search.

Contribute to building AI agents and automated workflows under the guidance of senior engineers.

Practice prompt engineering, structured outputs, and tool/function calling techniques.

Integration and Data

Work with REST APIs, JSON data, and databases to integrate AI capabilities into applications.

Assist in building simple backend services using frameworks such as FastAPI or Flask.

Clean, process, and prepare data for AI and ML tasks.

Testing and Deployment

Test, debug, and troubleshoot assigned modules and features.

Help evaluate AI outputs for accuracy, relevance, and quality.

Gain exposure to cloud platforms (AWS, Azure, or GCP), Docker, and deployment workflows.

Collaboration and Learning

Understand project requirements and collaborate closely with senior team members.

Participate in code reviews, team discussions, and knowledge-sharing sessions.

Maintain clear documentation of code, experiments, and project work.

Continuously learn new tools, frameworks, and techniques as AI technologies evolve.

Required Skills

Strong understanding of Python fundamentals, including data structures, functions, OOP, and error handling.

Good grasp of core programming concepts and logical problem-solving.

Basic knowledge of AI/ML concepts, gained through academics, internships, courses, or personal projects.

Familiarity with Generative AI and LLMs (for example, using an LLM API or building a simple chatbot).

Basic understanding of APIs, JSON, and working with data.

Familiarity with Git and GitHub.

Good analytical skills and attention to detail.

Clear written and verbal communication.

A strong willingness to learn and adapt quickly.

Good to Have

Hands-on project experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks.

Exposure to vector databases such as ChromaDB, FAISS, Pinecone, or Qdrant.

Familiarity with Python libraries such as Pandas, NumPy, scikit-learn, or Hugging Face Transformers.

Interest in or basic understanding of Agentic AI concepts and the Model Context Protocol (MCP).

Basic exposure to cloud platforms (AWS, Azure, or GCP) or Docker.

Basic SQL knowledge.

Relevant certifications, hackathon participation, Kaggle work, or open-source contributions.

A GitHub profile or portfolio showcasing AI or Python projects.

Educational Qualifications

Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related technical field.

Academic, internship, or personal projects involving Python, AI/ML, Generative AI, or cloud technologies will be strongly considered.

What We’re Looking For

Strong fundamentals, a solid educational background, and a problem-solving mindset.

Candidates who can explain their academic or personal projects clearly, including what they built, the tools they used, and what they learned.

Curiosity, ownership, and the ability to learn quickly in a fast-evolving field.

Extensive professional experience is not required; we value potential, attitude, and a passion for building with AI.

Pay

₹300,000.00 - ₹450,000.00 per year

Benefits

Health insurance

Leave encashment

Provident Fund

Work Location

In person