Software Developer for AI Agent

2 weeks ago

bangalore, India UniArch Products Pvt Ltd Full time

Company Description: UniArch Products Pvt Ltd specializes in crafting luxury architectural solutions, including metal facades, walls, and ceiling panels designed to redefine elegance and sophistication. Leveraging premium materials such as aluminum, brass, and copper, we create functional yet aesthetic masterpieces tailored to meet the unique vision of each client. Committed to innovation and craftsmanship, UniArch transforms spaces into timeless works of art. With a focus on unparalleled quality, we aim to adorn prestigious spaces worldwide with bespoke solutions that elevate architectural design to the highest standards of luxury. Key Responsibilities ·        Design and implement AI agents using LLMs, planning/decision-making frameworks, and agent-based architectures. ·        Build agent workflows: reasoning, memory/context management, tool or API integration, task decomposition, and decision logic to enable autonomous or semi-autonomous behavior. ·        Integrate agents into applications, services or backend systems — e.g. as chatbots, copilots, automation tools or business-logic agents. ·        Develop and maintain backend infrastructure, APIs, and services to support agent execution, scaling, reliability, and performance. ·        Collaborate closely with cross-functional teams (product, research, design) to iterate on agent capabilities for usability, safety, reliability and real-world use cases. ·        Monitor, test and evaluate agent behavior; implement safety, guardrails, logging/observability, error handling and performance monitoring. ·        Document architecture, design decisions, agent logic, dependencies, evaluation results and best practices. Required Qualifications / Skills ·        Strong programming skills — especially in Python  (or similar languages). ·        Experience working with AI/ML libraries, LLMs or generative-AI APIs. Familiarity with frameworks like those used to build agentic systems (e.g. LLM-wrapping, prompt engineering, tool integration, etc.) is preferred. ·        Understanding of AI agent design concepts: multi-agent systems, memory/context management, planning/decision-making, reasoning workflows, tool use. ·        Backend & infrastructure skills: API development, microservices, deployment workflows, scalable system design, reliability, performance optimization. ·        Good problem-solving and system design abilities; ability to work in a fast-paced, experimental engineering environment; comfortable collaborating with research/product teams. ·        Bachelor’s (or Master’s) in Computer Science, Software Engineering, AI/ML, or equivalent practical experience.

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