5 months ago
Hyderābād, IndiaSenior
Responsibilities
- Architect, build, and deploy LLM-powered applications for customer-facing products, customer service, product development, and internal workflows.
- Design autonomous and multi-agent AI systems for technical analysis, testing, troubleshooting, and decision-making.
- Identify and implement AI-driven efficiency improvements across company operations.
- Lead model fine-tuning and contextual optimization using proprietary data, feedback loops, observability metrics, and user interaction data.
- Ensure AI systems adhere to privacy, compliance, and ethical AI principles.
- Collaborate with data, product, and infrastructure teams on Yuno’s long-term AI roadmap.
- Experiment with emerging AI technologies and develop systems that improve efficiency, innovation, and revenue.
Requirements
- 5+ years of professional AI/ML development experience, including at least 2 years focused on LLMs, RAG, or agentic systems.
- Experience designing and deploying systems using models such as GPT, Claude, Gemini, or similar, including RAG and contextual retrieval pipelines.
- Hands-on experience building orchestrated agentic workflows with Crew.ai, LangChain, LangGraph, or similar frameworks.
- Expertise in supervised fine-tuning, LoRA, or custom dataset adaptation for domain-specific tasks.
- Proficiency in Python and Go, with experience using PyTorch, TensorFlow, or JAX.
- Experience designing scalable production AI systems on AWS, GCP, or Azure, including vector databases, model serving, and inference optimization.
- Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.
- Expertise integrating AI systems with RESTful APIs and internal platforms.
- Experience with LlamaIndex, Hugging Face, or similar open-source frameworks is preferred.
- Understanding of context optimization, embedding strategies, knowledge retrieval, MLOps, CI/CD pipelines, and production deployment practices is preferred.
- Experience in fintech, payments, or other data-intensive and regulated industries is preferred.
- Strong engineering, product, analytical, communication, and collaboration skills, with the ability to translate business objectives into measurable AI outcomes.
- Willingness to work from the Hyderabad office.
Benefits
- Full-time, on-site position based in Hyderabad.
- Opportunity to build AI systems across customer-facing products and internal operations in a payment orchestration company.
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