Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Senior AI Engineer to design, develop, and manage autonomous AI agents that support the entire sales lifecycle - from lead qualification to meeting scheduling. This role combines AI engineering, sales technology, and automation to build intelligent systems capable of researching prospects, handling customer objections, managing communications, and maintaining CRM data integrity.
Job Description- 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.
Additional InformationOur 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!
Skills Required
- 4+ years experience in Growth Engineering, Solutions Engineering, Sales Engineering, or similar in a B2B SaaS environment
- Hands-on experience building AI agents using Agent-as-a-Service platforms (11x, Regie.ai, Lyzr) or frameworks such as 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 (Salesloft, Outreach)
- Familiarity with sales intelligence platforms such as ZoomInfo and 6sense
- Experience designing experiments, prompt engineering, and running A/B tests to optimize AI systems
- Excellent communication and collaboration skills for cross-functional stakeholder engagement
- Advanced English level (written and verbal)
- At least 4 years professional experience building and deploying AI, ML, or software solutions in production
- Self-driven, highly organized, comfortable working in a fast-paced remote environment
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
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