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Senior AI Engineer
Blend360 · Remote, Uruguay
About The Role
- Design and implement autonomous AI agents to qualify inbound leads against Ideal Customer Profile (ICP) criteria.
- Develop AI-powered workflows that leverage external data sources and CRM history for lead enrichment and qualification.
- Build intelligent email agents capable of categorizing customer intent and generating context-aware responses using Large Language Models (LLMs).
- Develop and maintain Retrieval-Augmented Generation (RAG) solutions to provide AI agents with instant access to sales enablement content, including pricing, case studies, and competitive intelligence.
- Ensure seamless synchronization of AI agent activities with Salesforce and/or HubSpot to maintain accurate CRM records and reporting.
- Optimize AI agent performance through prompt engineering, reasoning loop improvements, and continuous experimentation.
- Conduct A/B testing to improve lead qualification accuracy and meeting conversion rates.
- Collaborate with Sales, Solutions Engineering, and GTM stakeholders to continuously enhance AI-driven sales processes.
- Monitor AI agent performance, identify improvement opportunities, and implement scalable solutions.
- 4+ years of experience in Growth Engineering, Solutions Engineering, Sales Engineering, or a similar role within a B2B SaaS environment.
- Hands-on experience building AI agents using Agent-as-a-Service platforms (such as 11x, Regie.ai, or Lyzr) or frameworks including LangChain and LangGraph.
- Strong understanding of Large Language Models (LLMs), including GPT-4o, Claude, or similar technologies.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Deep expertise with CRM platforms such as Salesforce and/or HubSpot.
- Experience working with Sales Engagement platforms including Salesloft or Outreach.
- Familiarity with sales intelligence platforms such as ZoomInfo and 6sense.
- Strong analytical mindset with experience designing experiments and optimizing AI systems through prompt engineering and A/B testing.
- Excellent communication and collaboration skills in cross-functional environments.
- Self-driven, highly organized, and comfortable working in a fast-paced remote environment.
- What about languages?
- Advanced English level is required for written and verbal communication.
- How much experience must I have?
- At least 4 years of professional experience building and deploying AI, ML, or software solutions in production environments.
Our perks and benefits
🍔 Every day lunches! (headquarters)
- Vegetarian, vegan, gluten and sugar free options.
- Gourmet meals every Friday with our on-site chef!
- ⚖️ Flexible working options to help you strike the right balance.
- 👨🏽💻 All the equipment you need to harness your talent (Macbook and accessories).
- ☕ Snacks and beverages available everyday (headquarters).
- 🎮 After office events, football, tennis and game nights (headquarters).
- ⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s.
- Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches.
- Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
📚 Learning opportunities
- AWS Certifications (we are AWS Partners).
- Study plans, courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
- 👩🏫 Mentoring and Development opportunities to shape your career path.
- 🎁 Anniversary and birthday gifts.
- 🏡 Great location and even greater teammates!
- So what are the next steps?
- Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
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