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Job details:
Our Client is a global leader in diversified electronics for the semiconductor
manufacturing ecosystem. They invent systems and solutions for the manufacturing of
wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel
displays. They focus more than average on innovation and invest 15% of sales back into
R&D. Their expert teams of physicists, engineers, data scientists and problem-solvers
work together with the world’s leading technology providers to accelerate the delivery of
tomorrow’s electronic devices.
Location : Chennai
Experience : 5+ years
What will you do :
- Collaborate closely with business stakeholders to gather requirements and translate them into robust, scalable AI-driven solutions
- Design, develop, and maintain high‑performance Python applications, focusing
- on Agentic AI architectures, automated reasoning workflows, and autonomous task‑orchestration systems
- Build AI agents capable of planning, tool‑use, retrieval‑augmented generation (RAG), and multi‑step autonomous decision-making
- Develop end‑to‑end pipelines including data ingestion, vector embeddings, model integration, orchestration logic, and monitoring
- Implement complex business logic, model interaction rules, and state management for agent-based systems
- Participate in sprint planning, daily standups, and agile ceremonies while ensuring timely delivery of development milestones
- Conduct and coordinate user acceptance testing (UAT) for AI features, resolve issues, and support deployment to production environments
- Prepare and maintain technical documentation, workflows, and operating procedures for AI services and Python-based applications
- Mentor junior developers, lead knowledge‑sharing sessions, and introduce best practices for Python engineering and AI developments
Minimum Qualifications
- 5+ years of hands-on Python development experience , building production-grade backend services or data-intensive applications.
- 2+ years working with modern AI ecosystems, including Agentic AI frameworks, RAG pipelines, vector stores, and tool‑calling workflows.
- Strong expertise with FastAPI / Flask, asynchronous programming, microservices, and API integrations.
- Experience integrating Large Language Models (LLMs) into applications.
- Proficiency in designing data pipelines and working with SQL/NoSQL technologies.
- Exposure to cloud platforms and containerization.
- Strong analytical and debugging skills with ability to translate business needs into technical implementations.
- Excellent communication, collaboration, and stakeholder‑management skills.
- Ability to work in fast‑paced environments, multitask, and deliver high‑quality outputs within sprint timelines.
- Positive attitude with willingness to learn evolving AI technologies.
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