Senior Developer for Store Associate Assistant

Purpose:

Design and build the full‑stack (front‑end + back‑end) foundation of an agentic AI platform that empowers in‑store associates with real‑time guidance, task automation, and data‑driven decision support. The Senior Software Engineer will turn cutting‑edge AI research—LLMs, retrieval‑augmented generation, and autonomous task orchestration—into robust, secure, and scalable web and mobile experiences used daily in 250+ retail locations.

Minimum Eligibility Requirements

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

Professional Experience

5 + years building production‑grade, customer‑facing software; 3 + years in modern front‑end frameworks and 1 + years designing REST/GraphQL or event‑driven back‑end services. Experience with AI RAG or MRKL architectures. 2 years implementing systems using the Agile/Scrum methodology

Technical Stack Mastery

• React / TypeScript (or equivalent) • Node.js, Python, or Java Springboot micro‑services • Cloud architecture on AWS, Azure, or GCP • CI/CD pipelines and automated testing.

Authorization

Eligible to work in the hiring region without sponsorship (unless company policy allows).

Major Responsibilities

Architecture & Design

• Define component, API, and data contracts that enable conversational agent workflows, RAG and MRKL pipelines, and store‑level telemetry at scale.
• Select libraries / frameworks (React, Next.js, FastAPI, LangChain, Temporal, etc.) that balance rapid iteration with enterprise security and performance needs.

Feature Development

• Build intuitive UIs for associates: chat interfaces, voice input, task dashboards, and AR‑assisted guidance.
• Implement back‑end services for intent routing, vector search, function calling, and policy enforcement.

AI Integration & Evaluation

• Orchestrate model calls (proprietary LLMs and third‑party APIs), tool‑use chains, and feedback loops to ensure agent safety, observability, and continuous improvement.
• Design A/B tests and offline evals to measure latency, hallucination rate, and task‑completion KPIs.

Operational Excellence

• Automate builds, tests, and deployments with GitHub Actions / Jenkins and infrastructure‑as‑code (Terraform, CDK).
• Monitor production (OpenTelemetry, Dynatrace) and lead incident response / root‑cause analysis.

Collaboration & Mentorship

• Partner with product managers, ML engineers, UX researchers, and store‑operations leaders to translate associate pain‑points into shippable features.
• Mentor mid‑level and junior engineers through code reviews, design sessions, and knowledge‑sharing.

Preferred Qualifications

• Advanced Degree — MS in CS, ML, HCI, or related field.
• Domain Expertise — Hands‑on experience with retail, supply‑chain, or other high‑throughput operational environments.
• Gen‑AI Depth — Prompt‑engineering, fine‑tuning, and deployment of transformers; familiarity with vector databases (Pinecone, FAISS) and guard‑rail frameworks.
• Mobile & Edge — React Native, Flutter, or PWA development; experience optimizing model inference on edge devices.
• Design Systems — Proven ability to implement accessible, component‑driven UI libraries (Storybook, Figma tokens).
• Security & Compliance — Knowledge of SOC 2, GDPR, and enterprise IAM patterns; experience with secret management and secure SDLC.
• Leadership — Track record of driving 0→1 products or leading cross‑functional engineering squads in an agile environment.

Working Conditions (travel & environment)

• Travel may be required including air and car travel
• The noise level in the work environment is typically quiet to moderate.

PHYSICAL/SENSORY    REQUIREMENTS

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects.  Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time.