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Staff Applied AI Engineer
Weekday AIIndia6 hours ago
Job descriptionSearch 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. 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. 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. 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). 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. 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. Generative AI Prompt Engineering Multi-Agent Systems Conversational AI Chatbot Development
This role is for one of the Weekday's clients
Salary range : Rs - Rs (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)
Key Responsibilities
Required Qualifications
Core AI / LLM Experience
Technical Skills
Quality & Evaluation Focus
What Makes a Great Candidate
Skills
Large Language Models (LLMs)
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Applied Ai Engineer • India
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