
Leading AI Systems Developer
1 week ago
Full-Stack AI and Data Engineer
As a key player in shaping the future of hyperlocal discovery, you will design and deploy large-scale real-world AI systems that blend LLMs, data engineering, and product infrastructure.
This role is ideal for an individual who has built end-to-end pipelines, retrieval systems, or agents and wants to push the frontier of city-scale intelligence.
Key Responsibilities:- Build, deploy, and scale LLM-powered workflows from fine-tuning to inference optimization.
- Architect multilingual, multimodal systems spanning text, voice, and images tailored for India's diversity.
- Implement retrieval-augmented generation (RAG) pipelines with embeddings, hybrid search, and vector DBs.
- Design real-time agents and tool-calling systems for discovery, recommendations, and conversational transactions.
- Engineer data pipelines: cleaning, structuring, and streaming hyperlocal content from multiple sources.
- Run offline/online experiments to improve accuracy, reliability, and latency at scale.
- Build internal AI tooling for observability, evaluation, and safety making AI explainable and citizen-first.
- Strong foundations in Computer Science, AI/ML, or related fields (degree or equivalent experience).
- Hands-on experience with modern AI/ML libraries (PyTorch, Hugging Face, LangChain, OpenAI APIs).
- Proven ability to ship production-grade AI systems and end-to-end pipelines.
- Deep understanding of LLMs: finetuning, inference patterns, and prompt engineering.
- Familiarity with vector databases and agent orchestration patterns.
- Ability to work like a builder: lean, fast, and hands-on shipping solutions that scale.
- Experience with multilingual NLP especially Indian languages.
- Contributions to open-source AI projects papers or public demos.
- Knowledge of low-latency inference and optimization for scale.
- Interest in city-tech discovery platforms or citizen engagement systems.
At Cityscope, you'll be working at the intersection of AI, community, and city infrastructure building tools that empower citizens, creators, and businesses. You'll join a lean team with global ambitions and the freedom to experiment, ship, and shape the future of hyperlocal discovery.
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