Yuno15.04.2026
Senior AI Engineer
Hyderabad
Обязанности
- 01Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno
- 02Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale
- 03Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth
- 04Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations
- 05Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence
- 06Lead fine-tuning and contextual optimization of AI models using Yuno’s proprietary data
- 07Continuously refine performance through structured feedback loops, observability metrics, and user interaction data
- 08Ensure adherence to privacy, compliance, and ethical AI principles in all model development
- 09Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno
- 10Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage
- 11Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function
Требования
- 015+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems
- 02Strong engineering and product mindset, capable of balancing technical depth with strategic impact
- 03Exceptional communication and collaboration skills to work across product, engineering, and data functions
- 04Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation
- 05Willing to work from the Hyderabad office
- 06Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems
- 07Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows
- 08Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks
- 09Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX
- 10Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization
- 11Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance
- 12Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products
Условия
- 01Hyderabad, On-site, Full Time
- 025+ years experience