Senior Software Engineer: PDLC

What you'll do

• Translate ambiguous business problems into end-to-end agentic AI solutions with clear success criteria and measurable outcomes.
• Design and build core agentic systems including orchestration, tool-use pipelines, and integration with enterprise systems.
• Apply context engineering to optimize RAG patterns, structured retrieval, and dynamic prompt assembly while balancing cost and latency.
• Develop evaluation frameworks and safety guardrails to ensure AI solutions are reliable, accurate, and secure in production.
• Architect memory and state management systems to enable agents to reason across sessions and complex workflows.
• Manage technical trade-offs between short-term delivery needs and long-term scalability regarding infrastructure, models, and costs.
• Lead design and code reviews while mentoring junior engineers on technical quality and best practices.
• Define and monitor key metrics for performance, cost, accuracy, and security of all agentic features.

What we're looking for

• Must have 6+ years of professional software engineering experience designing and delivering complex, scalable distributed systems.
• Must possess AI fluency with hands-on experience in LLMs, foundation model APIs, prompt engineering, RAG architectures, and embedding-based search.
• Must have experience designing, building, and operating AI agents or agentic workflows in production environments.
• Must be proficient in Python and have a strong grasp of cloud-native development on AWS and/or GCP.
• Must possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• Experience with RESTful services, event-driven architectures, and backend databases (preferred).
• Familiarity with containerization technologies like Kubernetes and Docker, along with modern CI/CD practices (preferred).
• Background in retail, e-commerce, or supply chain domains (preferred).