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The Senior Software Engineer will lead the design and support of AI Assistants and automation solutions, develop scalable micro-services, and manage product requirements, focusing on reliability and efficiency.
Job Purpose and Impact
The Software Engineering Senior Professional will lead the design, build, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food EMEA AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector‑search pipelines, enterprise‑scale LLMOps/AgentOps operational tooling, and intuitive front‑end experiences for both office users and plant operators.
This role will work primarily within the Food EMEA Digital Technology and Data team, owning and shaping solutions across the Food EMEA technology stack that serve Food EMEA teams and customers. In this role, you'll act as a technical leader and trusted partner to the business Product Owner, with a strong emphasis on translating complex product requirements into secure, scalable, observable, and cost‑efficient services or agents; managing the lifecycle from experiment to production; and proactively driving improvements in reliability, latency, and cost.
Key Accountabilities
Qualifications
The Software Engineering Senior Professional will lead the design, build, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food EMEA AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector‑search pipelines, enterprise‑scale LLMOps/AgentOps operational tooling, and intuitive front‑end experiences for both office users and plant operators.
This role will work primarily within the Food EMEA Digital Technology and Data team, owning and shaping solutions across the Food EMEA technology stack that serve Food EMEA teams and customers. In this role, you'll act as a technical leader and trusted partner to the business Product Owner, with a strong emphasis on translating complex product requirements into secure, scalable, observable, and cost‑efficient services or agents; managing the lifecycle from experiment to production; and proactively driving improvements in reliability, latency, and cost.
Key Accountabilities
- Develop multi-agent workflow automation patterns using Agentic AI
- Process redesign and mapping to agentic workflow patterns
- Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
- Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
- Profile inference latency, GPU/CPU utilization, and memory
- Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions
- Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents
- Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.
- Own on-call runbooks, SLOs, and incident reviews; embed observability
- Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.
- Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.
- Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.
- Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.
- Experience with digital technologies in the commercial & sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
