Job Title: Senior Full-Stack Engineer, AI & Automation Company Name: Implentio, Inc Job Url: https://www.simplyhired.com/job/Xt9shpGGv_RqkE_8IfXjjDy6nLMXKKEifTn7I6nHVfkOKkA6b76aHg Job Description: Senior Full-Stack Engineer, AI & Automation Implentio, Inc Remote Job Details Full-time $150,000 - $225,000 a year 1 day ago Qualifications Cloud infrastructure Node.js Engineering testing Logistics JavaScript frameworks Automating deployment processes Incident response Product development Continuous improvement Decision making E-commerce fulfillment operations Developing data pipelines Scalability Developing and maintaining backend systems Regression testing Web applications Senior level AI Cross-functional collaboration TypeScript Python Software architecture Debugging Order fulfillment Full Job Description Senior Full-Stack Engineer, AI & Automation Remote Full-Time ABOUT US Implentio is building the intelligence layer for modern ecommerce operations. We help DTC and ecommerce brands recover lost money and eliminate operational waste across their parcel and 3PL networks through software, data, and deep operational expertise. Our platform identifies billing errors, uncovers inefficiencies, and transforms messy operational data into clear, high-impact decisions. Behind the technology is a team that has spent years operating inside high-growth ecommerce and logistics environments. We know how complex these systems are because we’ve run them ourselves. Implentio is backed by leading venture investors and led by a founding team with a track record of building and scaling successful companies. We’re building a focused, high-caliber team that values clear thinking, moves quickly, and takes real ownership of outcomes. If you’re excited about building software that solves real operational problems for some of the fastest-growing ecommerce brands, we’d love to meet you. ABOUT THE ROLE We're hiring a Full-Stack Engineer, AI & Automation to help build the intelligent systems at the core of our products. This is a hands-on, high-ownership role for someone who wants to work at the intersection of applied AI, product engineering, and real-world operational data. You will design and ship LLM-powered features, build automation that replaces manual workflows, and integrate AI into how we detect billing errors, optimize carrier selection, and surface insights for customers. You will work across the full stack, including Python backend services, React frontend, data pipelines, and cloud infrastructure, with AI woven into each layer. Experience in logistics, fulfillment, 3PL, or e-commerce is a plus. WHAT YOU’LL DO Build and Ship AI Products. Design, develop, and deliver agentic features end-to-end, including chat-based interfaces, agent workflow experiences, and internal copilots that serve real users in production. Leverage Agentic Coding Workflows. Use modern agentic coding tools daily (e.g., Claude Code, Codex, Cursor, and similar assistants) to accelerate delivery while maintaining high code quality and engineering standards. Design Agent Systems. Architect agent internals: tool calling, multi-step orchestration, memory and state management, retrieval pipelines, permissions models, and failure recovery strategies. Own Evals and Quality. Build and maintain agent evaluation infrastructure - regression suites, scenario-based tests, golden traces, and both offline and online metrics - so you always know whether your agent got better or worse. Implement Observability. Instrument agents with production-grade observability: distributed tracing, prompt and version tracking, tool-call telemetry, and cost/latency monitoring. Own Production Readiness. Take responsibility for the full lifecycle: rollout plans, QA, guardrails, incident response, and continuous improvement of deployed agents. WHAT WE’RE LOOKING FOR Proficiency in TypeScript/Node.js and/or Python, with experience in modern web stacks and startup-pace of delivery. Proven full-stack engineering ability. You've shipped production software end-to-end, not just prototypes or demos. Shipped LLM-powered features to production. You've owned at least 1–2 agentic features or products from design, build, deployment and operation Familiarity with agentic coding best practices. You understand task decomposition, agent delegation, prompt hygiene, iterative loops, and how to review and steer agentic outputs effectively. Practical experience with agent evals and tracing. Solid engineering fundamentals. Testing, debugging, performance optimization, and reliability are second nature to you. Familiarity with agent tooling ecosystems: prompt/version stores, eval harnesses, tracing and telemetry platforms (OpenTelemetry, LangSmith, Datadog, Honeycomb, or similar) - Nice to have. Experience with RAG architectures: vector databases, indexing strategies, chunking approaches, and retrieval evaluation - Nice to have. WHAT SUCCESS LOOKS LIKE You build a strong understanding of our products, workflows, data, and operational constraints quickly You ship improvements that make the product smarter, more scalable, and more useful in production You apply AI in ways that are practical and durable, not gimmicky You become a trusted partner to product and operations by solving messy real-world problems You raise the quality of systems you touch — code, data models, reliability, and deployment WHO YOU ARE You dig into how things work, ask good questions, and do not stop at the surface. You follow through and ship. Work moves because you move it. You make sound decisions and practical tradeoffs without needing perfect information. You care about quality and think through edge cases, testing, and production behavior. You collaborate well across functions and focus on building what works Pay: $150,000.00 - $225,000.00 per year Work Location: Remote