Senior AI Engineer – Data Science & Generative AI
Mission Build and productionize intelligent AI systems — combining deep data science expertise with engineering rigor to deliver scalable Gen AI solutions.
What You'll Do
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Design and build end-to-end Gen AI and ML pipelines - from data exploration to production deployment
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Develop agentic AI systems: RAG, tool orchestration, planning/execution flows
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Build retrieval services, embedding pipelines, and model-routing infrastructure
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Train, fine-tune, and evaluate LLMs and ML models; implement monitoring and cost-control frameworks
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Translate data science research into robust, production-grade services
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Collaborate with Engineering and Product; contribute to AI architecture decisions
Requirements:
What We're Looking For
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5+ years in data science, ML engineering, or AI development
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Strong Python with solid software engineering practices
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Hands-on experience with Gen AI: LLMs, prompt engineering, RAG, embeddings, agents
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Deep analytical skills — ability to explore, understand, and interpret complex datasets to select the right approach (statistical, ML, or AI-based)
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Solid grounding in classical data science methods (statistical modeling, feature engineering, hypothesis testing) — knowing when not to use LLMs
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Production deployment of ML/AI systems (APIs, microservices, cloud — AWS/Azure/GCP)
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Familiarity with evaluation frameworks and model observability
Nice to Have
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Vector databases (Pinecone, Weaviate, FAISS)
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LLM fine-tuning or RLHF experience
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Databricks / large-scale data platforms
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Agentic frameworks (LangChain, LlamaIndex, AutoGen)
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Async/streaming architectures
Who You Are Curious and rigorous — you think in experiments but build for production. You bridge the gap between data science and engineering, and care about impact, quality, and reusable foundations.
Country:
India
City:
Bangalore
