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Design, build, test, deploy, and support production-grade GenAI assistants, agents, and automation solutions. Develop Python microservices, LLM/RAG/agent workflows, retrieval/vector-search pipelines, APIs, and operational tooling. Ensure scalability, cost-efficiency, security, monitoring, and runbooks. Collaborate across teams and follow Responsible AI, governance, and Agile practices throughout the solution lifecycle.
Job Purpose and Impact
Key Accountabilities
Qualifications
- Experienced professional individual contributor who works independently on end-to-end delivery of production-grade AI Assistants, GenAI applications, data platforms, and automation solutions. Solves difficult, multi-component technical problems with limited supervision and may provide peer review or technical coaching within the job area.
JOB SUMMARY
The Software Engineer will design, build, test, deploy, and support AI Assistants, AI Agents, and workflow automation solutions using ChatGPT-based copilots, Copilot Studio agents, Power Automate, and cloud-native services. Deliverables may span Python microservices, APIs and integration services, retrieval and vector-search pipelines, LLM/RAG/agent workflows, operational tooling, and user-facing experiences.
Working within the Food APAC Digital Technology and Data team, this role will translate product requirements into secure, scalable, observable, and cost-efficient services or agents. The engineer will contribute across the full solution lifecycle-from experimentation and prototyping through production deployment, monitoring, support, and continuous improvement.
- Experienced professional individual contributor who works independently on end-to-end delivery of production-grade AI Assistants, GenAI applications, data platforms, and automation solutions. Solves difficult, multi-component technical problems with limited supervision and may provide peer review or technical coaching within the job area.
Key Accountabilities
- Design, Development & Support
- Build reusable Agentic AI workflows and automate business processes.
- Develop scalable Python microservices for LLM, RAG, and AI agent solutions.
- Implement prompt engineering, vector search, retrieval pipelines, grounding, and caching.
- Optimize AI solution performance, scalability, and cost.
- Develop, test, debug, and maintain AI applications and services.
- Create and maintain technical documentation and deployment guides.
Operational Excellence- Develop runbooks, monitoring dashboards, alerts, and incident-response procedures.
- Troubleshoot and resolve production issues to ensure reliability and uptime.
Collaboration & Delivery- Partner with cross-functional teams to design and deliver business solutions.
- Work in Agile environments with end-to-end ownership of solution delivery.
- Ensure compliance with architecture, security, governance, privacy, and Responsible AI standards.
Technology Exposure- Experience with Python, APIs, cloud platforms, CI/CD, containerization, RAG, vector databases, and monitoring tools.
- Exposure to Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT, Copilot Studio, Power Automate, or similar platforms is preferred.
Qualifications
- Minimum requirement of 3 years of experience building AI-based software solutions or data platforms.• Typically reflects 3 years or more of relevant experience, including 2+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP, or 2+ years of software development experience.
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
