AI Engineer

Role Overview

Build intelligence and ship products that think. As an AI Engineer at Inclusive Minds, you will move beyond building models to putting them into production, solving real-world problems. You will build AI solutions that make our political consultancy teams faster, smarter, and more effective by developing technology, data systems, and communication products.

Responsibilities

• Build and ship AI applications end-to-end, from problem definition to production deployment
• Build LLM-powered products like RAG systems, AI agents, and intelligent automation over multilingual datasets
• Turn models into production-grade services including versioned APIs, containers, and scalable inference pipelines
• Improve systems continuously through evaluation suites, testing, monitoring, fine-tuning, and retraining
• Track frontier models to implement practical solutions rather than just demos

Requirements

• 3+ years of hands-on AI/ML or data science experience with models shipped to production
• Strong Python skills and deep-learning frameworks like PyTorch or TensorFlow
• Real experience with LLMs and generative AI (prompt engineering, RAG, fine-tuning, or agentic workflows)
• Experience deploying models as services using FastAPI, Docker, and cloud platforms like AWS, GCP, or Azure
• Working knowledge of MLOps/LLMOps, including CI/CD, experiment tracking, and monitoring
• Strong data fundamentals with SQL and data pipelines

Nice to Have

• Experience with vector databases such as pgvector, FAISS, or Pinecone
• Experience with Indic-language NLP, speech-to-text, or multilingual models
• Experience with managed ML platforms like SageMaker, Vertex AI, or Azure ML
• Experience with Airflow or Kubernetes
• Contributions to open-source AI projects

Skills

• Python
• PyTorch
• LLMs
• FastAPI
• AWS