Staff Applied Ai Engineer

This role is for one of the Weekday s clients Salary range Rs 8000000 - Rs 13000000 ie INR 80-130 LPA Min Experience 10 years Location Remote India JobType full-time As a Staff Applied AI Engineer you will be responsible for building and productionizing advanced AI systems powered by Large Language Models LLMs and intelligent agents You will work on mission-critical capabilities such as AI Assistants Autonomous AI Agents Deep Research Agents Conversational Interfaces Semantic Search Search Personalization and AI-driven automation delivering features that directly impact millions of users productivity The mission of the AI Engineering team is to leverage large-scale data and cutting-edge AI to predict user behaviors personalize experiences and optimize every stage of the customer journey through intelligent automation Requirements What You ll Be Working On AI Assistant Agent Systems Agent Architecture Implementation Build sophisticated multi-agent systems capable of reasoning planning and executing complex workflows Context Management Develop systems that maintain conversational context across multi-turn interactions LLM Agentic Platforms Build scalable large language model and agentic platforms that drive adoption of AI-powered systems Backend Systems Develop scalable backend infrastructure to support AI assistants and agents AI Features Work on Conversational AI Natural Language Search Personalized Content Generation and similar applications Classical AI ML Optional Focus Search Scoring Ranking Enhance recommendation systems and search relevance algorithms Entity Extraction Build models for entity classification and automated keyword extraction Lookalike Recommendation Systems Develop matching engines and intelligent suggestion systems Key Responsibilities Design Deploy Production LLM Systems Deliver scalable reliable AI systems that serve millions of users Agent Development Create advanced AI agents that chain multiple LLM calls integrate with APIs and maintain state across workflows Prompt Engineering Design and optimize prompting strategies balancing fine-tuning and advanced prompting techniques System Integration Build robust APIs and integrate AI features into existing infrastructure and external platforms Evaluation QA Implement evaluation frameworks A B testing and monitoring systems to ensure accuracy reliability and safety Performance Optimization Optimize systems for latency scalability and cost across different LLM providers Collaboration Partner with product teams backend engineers and stakeholders to translate business requirements into technical solutions Required Qualifications Core AI LLM Experience 10 years of software engineering experience focused on production systems 1 5 years 2023-present of hands-on experience building real-world LLM-powered applications GPT Claude Llama or others Proven experience in building customer-facing scalable LLM applications beyond prototypes Strong expertise in multi-step AI agent development LLM chaining and workflow automation Deep understanding of prompt engineering few-shot learning and optimization techniques Technical Skills Expert-level Python programming for production AI systems Strong backend engineering skills with scalable APIs and distributed architectures Experience with LangChain LlamaIndex or similar frameworks API integration expertise to enable advanced AI functionality Experience deploying and managing AI systems in cloud environments AWS GCP Azure Quality Evaluation Focus Hands-on experience with evaluation frameworks for LLM systems accuracy safety and performance Strong knowledge of A B testing and experimental design Experience in production monitoring debugging and reliability engineering Skilled in managing scalable data pipelines to support AI systems What Makes a Great Candidate Production-First Mindset You ve built and scaled AI systems used by real customers not just research projects Technical Depth with Business Impact Ability to design end-to-end solutions while balancing cost scalability and performance trade-offs Evaluation Quality Excellence Focus on measurable performance safety and user experience Adaptability Learning Comfortable with ambiguity rapidly evolving frameworks and staying ahead of the AI landscape Skills Large Language Models LLMs o Generative AI o Prompt Engineering o Multi-Agent Systems o Conversational AI o Chatbot Development