AI Engineer

About Us:

Join one of India's fastest-growing marketplace AdTech data platforms. At Hector, we

are redefining how Amazon and Flipkart sellers manage their advertising data and drive

performance across channels.

Hector is a cutting-edge data visualization, analytics, and optimization platform

designed specifically for marketplace brands. Built by performance marketing

specialists, Hector delivers intelligent, structured insights that help brands scale

profitably through granular analysis and smarter strategic decision-making.

Hector's Recent Accolades:

Winner of the 2025 Amazon Ads Partner Award for Seasonal Sales Strategy APAC.

Winner of the Amazon Ads Innovation Challenge 2025.

Role Overview:

We are looking for a skilled AI Engineer to join our team and help build production-

ready AI solutions for advertising analytics and campaign optimisation platform.

Key Responsibilities:

At Hector, you'll be building AI-powered solutions that directly impact how brands

optimize their advertising campaigns:

LLM-based Analytics Systems Work with OpenAI, Claude, and other frontier

models to build intelligent campaign analysis tools

RAG & Document Intelligence Develop retrieval systems for extracting insights

from advertising data and reports

Amazon Ads Optimization Build AI workflows for campaign performance

analysis, budget optimization, and targeting strategies

MCP Integration Work on Model Context Protocol implementations for

enhanced AI agent capabilities

Production Deployment Deploy and maintain AI systems using FastAPI, Docker,

and cloud infrastructure

Prompt Engineering & Fine-tuning Optimize model performance for domain-

specific advertising use cases

Requirements:

Proven experience as a Python Developer, databases & data warehouses.

Proven experience with extracting data from various sources, including

databases, APIs, and message queues (experience with SQS, RabbitMQ, or Kafka a plus)

Strong problem-solving skills and attention to detail.

Ability to work independently and in a team-oriented environment.

Good communication and documentation skills.

Must-Have Skills:

2+ years of experience in AI/ML engineering or applied data science

Strong proficiency in Python (PyTorch, Hugging Face, LangChain/LangGraph)

Hands-on experience with LLMs (OpenAI, Claude, Gemini) and prompt engineering

Experience building RAG systems, embeddings, and vector search

Familiarity with FastAPI, REST APIs, and backend development

Understanding of MLOps principles and model deployment

Strong problem-solving skills and ability to work independently

Nice-to-Have:

Experience with advertising platforms (Amazon Ads, Google Ads, Meta)

Knowledge of MCP (Model Context Protocol) or AI agent frameworks

Familiarity with multimodal AI and document understanding

Experience with Docker, Kubernetes, or cloud platforms (AWS/GCP)

Background in computer vision or NLP

Exposure to fine-tuning open-source models (Llama, Mistral)