GTM AI Engineer

Job description

About You: You are an AI-native builder. You don’t just use AI tools; you build agents, copilots, and autonomous systems. You understand how modern LLMs actually work: tool use, reasoning loops, structured outputs, retrieval, memory, and orchestration. You are comfortable vibe-coding, shipping fast, and learning new AI tooling weekly. You’ve built side projects, internal tools, or production systems using LLMs, agents, or automation frameworks. You think in systems, not scripts. You’ll be responsible for building AI agents and systems that directly improve revenue, efficiency, and scalability across our company. You know that the leverage of a single great AI builder today is 10–100x a traditional engineer. This is a remote role with the option to work anywhere in India. You Will: Design and deploy autonomous AI agents that can research, reason, and execute real business workflows Build agentic systems using modern LLM capabilities including tool use, function calling, structured outputs, and multi-step reasoning Create internal AI copilots used daily by marketing, sales, operations, and leadership Implement retrieval systems (RAG) using embeddings and vector databases to give agents context and memory Build AI workflows that can enrich accounts, qualify leads, generate insights, and automate execution Integrate AI agents deeply into our stack: HubSpot, internal databases, enrichment platforms, and product systems Automate workflows that previously required human operational effort Build scraping, parsing, and AI extraction systems to convert unstructured web data into structured intelligence Rapidly prototype, test, and deploy new AI capabilities as new models and tools become available Continuously improve agents to make them faster, smarter, cheaper, and more reliable Build reusable internal frameworks, tools, and agent architectures Own systems end-to-end — from idea to production You Have: Strong software engineering ability and the ability to ship working systems quickly Hands-on experience building with modern LLMs and AI tools (OpenAI, Anthropic, open models, or similar) Experience building AI agents, copilots, or automated workflows Strong prompt engineering skills and understanding of structured prompting and reliability Experience integrating APIs, webhooks, and external systems Ability to work with structured and unstructured data Experience with automation tools like N8N, Make, Zapier, or similar Comfort working with web scraping, enrichment systems, and data pipelines Strong builder mindset — you learn fast, experiment fast, and ship fast High agency — you figure things out without needing step-by-step instructions Curiosity and obsession with new AI capabilities Bonus: Experience with vector databases, embeddings, or retrieval systems Bonus: Experience building multi-step agent workflows Bonus: You actively build AI projects outside of work Bonus: You use AI coding tools as part of your daily workflow Our Benefits: Competitive Compensation: Attractive salary and benefits package. Flexible Work Environment: Fully remote work with flexible hours to promote work-life balance. Professional Growth: Opportunities for career advancement and professional development. Health & Wellness: Comprehensive health and vision insurance plans. Paid Time Off: Generous PTO and paid holidays to recharge and relax. Collaborative Culture: A supportive team environment that values innovation and collaboration. Equity Options: Opportunity to own a part of Fello and share in our success. Cutting-Edge Projects: Work on innovative products that leverage AI and advanced technologies. About Fello: Fello is a profitable, hyper-growth, VC-backed B2B SaaS company building the agentic real estate platform of the future. Our platform combines data intelligence, marketing automation, and conversational AI to help real estate teams engage smarter and scale faster. At the center of it is Felix, our AI teammate, which takes real work off a team's plate — running follow-up across calls, texts, and emails today, with more of the team's day-to-day work coming next. We're not another tool in the stack. We're the system that powers it — learning, adapting, and executing in real time so teams can focus on growth, not guesswork. If you're excited about building an AI product that's changing how an entire industry works, you'll fit right in.