Develop, test, analyze, and maintain software application in support of the achievement of business requirements.
Ensure detail specification of the program to be written/coded is clear and understood well.
Code, test and deliver complete with documentations for all programs written following the guideline and standard established within the given timeline.
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Design and develop: Work closely with cross-functional teams to design, develop, and deploy cutting-edge software solutions using technologies like Node.js, React.js, Angular, C# (.NET framework), and Python.
Collaborate with product: Actively engage with the Product team to understand requirements, provide technical insights, and ensure seamless integration with existing systems.
Champion best practices: Implement and advocate for robust source code management strategies, ensuring code quality, maintainability, and efficient code reviews.
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Design and develop: Work closely with cross-functional teams to design, develop, and deploy cutting-edge software solutions using technologies like Node.js, React.js, Angular, C# (.NET framework), and Python.
Collaborate with product: Actively engage with the Product team to understand requirements, provide technical insights, and ensure seamless integration with existing systems.
Champion best practices: Implement and advocate for robust source code management strategies, ensuring code quality, maintainability, and efficient code reviews.
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We are looking for an exceptional Senior/Staff Full Stack Engineer with 10+ years of engineering experience to build the next generation of AI-native software systems.
This is not a traditional full-stack role. We are looking for someone who understands how to build systems where AI agents can reason, execute, observe outcomes, learn from feedback, and continuously improve their own performance.
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We are looking for an exceptional Senior/Staff Full Stack Engineer with 10+ years of engineering experience to build the next generation of AI-native software systems.
This is not a traditional full-stack role. We are looking for someone who understands how to build systems where AI agents can reason, execute, observe outcomes, learn from feedback, and continuously improve their own performance.
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Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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