AI Engineer

AI Engineer

Build intelligence. Ship products that think.

Inclusive Minds · Full-time · On-site · Hyderabad

Most AI jobs stop at building models. Yours puts them into production, solving real problems that people interact with every day.

We’re Inclusive Minds - India’s only full-service political consultancy with a national footprint, working alongside the Indian National Congress. We build technology, data systems, and communication products that shape how campaigns understand people, make decisions, and respond in real time. You’ll build AI solutions that make our teams faster, smarter, and more effective.

What you’ll actually be doing:

— 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 - versioned APIs, containers, and scalable inference pipelines

— Improve systems continuously through evaluation suites, testing, monitoring, fine-tuning, and retraining

— Track frontier models and separate the useful from the hyped - practical solutions, not just demos

You won’t just train models. You’ll ship products people actually use.

What we need from you:— 3+ years of hands-on AI/ML or data science experience - models shipped to production, not just prototyped— Strong Python, plus deep-learning frameworks (PyTorch or TensorFlow) and the Hugging Face ecosystem— Real experience with LLMs and generative AI like prompt engineering, RAG, fine-tuning, or agentic workflows— Experience deploying models as services - REST APIs (FastAPI), Docker, and AWS, GCP, or Azure— Working knowledge of MLOps/LLMOps - CI/CD for models, experiment tracking, monitoring, and evaluation— Strong data fundamentals (SQL, pipelines) and the judgment to turn vague needs into shippable AI solutionsBonus points if you:— Have shipped AI products with real users and can point to usage, feedback, or measurable impact— Have worked with vector databases (pgvector, FAISS, Pinecone, or similar) and embedding pipelines— Have experience with Indic-language NLP, speech-to-text, or multilingual models— Have used managed ML platforms (SageMaker, Vertex AI, Azure ML) or tools like Airflow and Kubernetes— Contribute to open-source AI projects or maintain a GitHub profile worth readingWhy this is different:

Your work won’t stay inside notebooks. The systems you build will power products, automate decisions, and directly influence how campaigns operate at scale.

Don’t apply if:

— You enjoy training models more than shipping them

— You consider the job done when the notebook runs

— You’d rather follow tutorials than untangle problems no one has solved for you

Apply if:

— You like turning ambiguous ideas into intelligent products

— You care about latency, cost, and reliability as much as accuracy

— You want your work to create measurable impact - Faster

Ready? Send us what you’ve built - products, deployed models, or repositories you’re proud of. Show us what you’ve shipped, not just what you’ve studied. More about us:

Pay: ₹50,000.00 - ₹80,000.00 per month

Work Location: In person