Full Stack AI + Data Engineer

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<p style="min-height:1.5em"><strong>About TechTorch</strong></p><p style="min-height:1.5em">TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.</p><p style="min-height:1.5em">Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators.</p><p style="min-height:1.5em">TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We were built to deliver results that matter.</p><p style="min-height:1.5em"><strong>About the Team</strong></p><p style="min-height:1.5em">TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries.</p><p style="min-height:1.5em">We're a team of engineers and architects who take things from a whiteboard to production. We don't hand off at boundaries — we own outcomes.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>About the Role</strong></p><p style="min-height:1.5em">We're looking for a Full Stack AI + Data Engineer who owns the complete product lifecycle — from discovery and ideation through to production deployment. Not a specialist who stops at the API boundary. Someone who can sit in a client session, shape the solution architecture, build the stack, and ship it.</p><p style="min-height:1.5em">The role sits at the center of client delivery and internal accelerator development — someone who can own the full arc of a project and be the person who makes things real.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What You'll Do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own the full product lifecycle — from discovery and ideation through system design, build, and production deployment</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design and build RAG pipelines, agentic workflows, and multi-agent systems using LangGraph and the broader AI agent ecosystem</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and compose AI capabilities using MCP servers, Skills, and Plugins — and stay sharp on how these primitives are evolving</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Develop Next.js frontends that make complex AI workflows feel intuitive to end users</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build Python-based APIs and backend services using FastAPI, with PostgreSQL as the primary data store</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design and implement automation workflows using Celery, Temporal, or equivalent orchestration tools</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Architect and maintain data pipelines (ETL/ELT), data models, and dbt-based analytics engineering layers</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Set up and own CI/CD pipelines and cloud deployments on AWS and Azure</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Leverage AI-paired programming tools (Claude Code or similar) as a daily accelerator — not as a crutch, but as a force multiplier</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Translate ambiguous client requirements into clear system designs, and communicate trade-offs across both technical and business audiences</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Contribute to reusable internal accelerators and technical assets within the Data Practice</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What You Bring</strong></p><p style="min-height:1.5em">Production-grade experience across AI engineering, full-stack development, and data — with genuine depth, not just surface familiarity.</p><p style="min-height:1.5em"><strong>AI & GenAI Engineering</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">RAG pipeline design — retrieval strategies, vector stores, chunking, re-ranking, and evaluation</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Agentic AI systems using LangGraph — multi-agent coordination, tool use, memory, and state management</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Building and composing AI capabilities via MCP servers, Skills, and Plugins</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">AI-paired accelerated programming — proficient at using Claude Code or a comparable agentic coding tool as a daily productivity layer</p></li></ul><p style="min-height:1.5em"><strong>Full Stack Development</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Python — primary language, used for services, automation, and data work</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">FastAPI — async REST API design, dependency injection, testing</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Next.js — component architecture, server-side rendering, state management, and UX sensibility</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">PostgreSQL — schema design, query optimization, indexing</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">System Design — can architect a system from a blank page: services, boundaries, trade-offs, and scale</p></li></ul><p style="min-height:1.5em"><strong>Automation & Workflow Orchestration</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Building automation workflows using Celery or Temporal — task queuing, retries, distributed scheduling</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Event-driven patterns and async processing at the application layer</p></li></ul><p style="min-height:1.5em"><strong>Data Engineering</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">ETL/ELT pipeline design — batch, incremental, and event-driven ingestion patterns</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Data pipelining and modeling — dimensional modeling, EDW design, schema governance</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">dbt — transformation logic, testing, documentation, and analytics engineering best practices</p></li></ul><p style="min-height:1.5em"><strong>DevOps & Cloud</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">CI/CD and deployment — GitHub Actions or equivalent, containerized delivery, environment management</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exposure to common cloud services on AWS and Azure — compute, storage, managed databases, serverless</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>You might be a fit if...</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You've shipped full-stack AI applications in production — not just demos or PoCs</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You're comfortable switching between designing a data model in the morning and debugging an agentic pipeline in the afternoon</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You get restless when handing things off — you'd rather own it end to end</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You can explain a RAG pipeline to a business stakeholder and architecture trade-offs to an engineering team in the same day</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You're opinionated about system design and can back it up</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Nice to have</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience in a consulting or client-delivery environment</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Contributions to open-source AI or data tooling</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exposure to multi-cloud or hybrid cloud architectures</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Knowledge of MLflow, Weights & Biases, or similar experiment tracking tools</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Familiarity with streaming data patterns (Kafka, Spark Streaming)</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What we Offer</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Fully remote position — work from anywhere, globally</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">High-autonomy, high-ownership work — you drive the technical direction</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exposure to cutting-edge AI engineering across multiple industries and use cases</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Opportunity to shape the Practice's internal accelerators and reusable assets</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">A team of sharp engineers who take craft seriously and skip the bureaucracy</p></li></ul><p style="min-height:1.5em"></p>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

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With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...