Jobs Companies Weekday AI Agentic Architect

Über diese Agentic Architect Stelle bei Weekday AI

Weekday AI · Vor Ort · Chennai, Tamil Nadu, India

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 5500000 (ie INR30-55 LPA)

Experience: 16+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-Time

We are looking for an experienced AI/.NET Engineer to build intelligent, scalable, and high-performance enterprise applications by combining modern .NET technologies with advanced Artificial Intelligence capabilities. This role is ideal for professionals who are passionate about designing AI-powered solutions, integrating Large Language Models (LLMs), and developing robust applications that solve complex business challenges.

As an AI/.NET Engineer, you will work closely with product managers, architects, data engineers, and cross-functional development teams to design, develop, and deploy AI-enabled applications. You will be responsible for integrating LLM-based capabilities into enterprise systems, optimizing application performance, and ensuring scalable, secure, and maintainable software solutions. This position offers the opportunity to work on next-generation AI technologies while contributing to innovative products in a collaborative and fast-paced environment.

Requirements

Key Responsibilities

  • Design, develop, and maintain enterprise-grade applications using the .NET ecosystem and modern software engineering practices.
  • Build and integrate AI-powered features using Large Language Models (LLMs) to enhance application intelligence and user experience.
  • Develop scalable APIs, backend services, and AI-driven workflows that support business-critical applications.
  • Collaborate with architects and engineering teams to design robust, secure, and maintainable application architectures.
  • Implement intelligent automation, natural language processing, and AI-assisted functionalities within enterprise solutions.
  • Optimize application performance, scalability, reliability, and security across distributed environments.
  • Work closely with product and engineering teams to translate business requirements into technical solutions.
  • Participate in system design discussions, code reviews, testing, deployment, and continuous improvement initiatives.
  • Troubleshoot and resolve application, integration, and AI model-related issues in development and production environments.
  • Maintain technical documentation, development standards, and best practices throughout the software development lifecycle.
  • Stay updated with emerging AI technologies, .NET advancements, and enterprise application development trends.

What Makes You a Great Fit

  • 5+ years of experience in software development with strong expertise in the .NET ecosystem.
  • Hands-on experience building AI-enabled applications using Large Language Models (LLMs) and modern AI frameworks.
  • Strong understanding of enterprise application architecture, backend development, and API design.
  • Experience integrating AI capabilities into production-grade applications while ensuring scalability and performance.
  • Good knowledge of software design principles, object-oriented programming, and distributed system architecture.
  • Familiarity with Retrieval-Augmented Generation (RAG), AI solution architecture, or modern AI frameworks is an added advantage.
  • Strong analytical and problem-solving skills with the ability to design innovative technical solutions.
  • Experience working in Agile development environments with cross-functional engineering teams.
  • Excellent communication, collaboration, and stakeholder management skills.
  • A proactive mindset with a passion for AI innovation, continuous learning, and delivering high-quality enterprise software solutions.
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Über Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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