Live opening · Posted 1 day ago
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About the role
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We're looking for an AI Engineer to drive the design and development of next-generation AI systems, someone who's not just experimented with LLMs but has shipped production-grade AI products at scale. If you're passionate about pushing the boundaries of GenAI and Agentic AI, this role is for you.
Responsibilities:
Design and development of #AI/ #GenAI-powered products and platforms.
Design and build agentic AI systems capable of autonomous, multi-step reasoning and task execution.
Architect and optimize #RAG (#RetrievalAugmentedGeneration) pipelines for accuracy, latency, and scale.
Fine-tune, evaluate, and deploy #LLMs for real-world production use cases.
Build robust, scalable Python backend systems to power AI applications.
Collaborate with product and engineering teams to define technical solutions.
Follow best practices for AI system design, evaluation, and deployment.
Requirements:
Strong hands-on experience with #AI, #GenAI, and #AgenticAI system design.
Proven expertise working with LLMs for fine-tuning, prompting, evaluation, and deployment.
Practical experience building and optimizing RAG pipelines (vector databases, embeddings, and retrieval strategies).
Strong Python backend development skills, with experience building scalable APIs and services.
Solid understanding of ML/AI fundamentals, model lifecycle, and production deployment challenges.
Experience with cloud platforms and MLOps/LLMOps practices is a strong plus.
Ability to work independently and collaborate effectively within the engineering team.
Bachelor's or master's degree in computer science, AI/ML, or a related field (premier institute preferred).
Experience
4-6 yrs
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