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 architect and manage autonomous AI agents that streamline the entire sales lifecycle - from lead qualification to meeting scheduling and customer engagement. You will develop intelligent systems capable of researching prospects, handling inbound communications, enriching CRM data, and supporting Sales teams through AI-powered automation.
Job Description- Design, build, and deploy autonomous AI agents to support marketing operations and demand generation initiatives.
- Develop intelligent research agents that identify intent signals, company news, funding events, hiring trends, and other market insights to enrich CRM data.
- Build AI-powered campaign management systems capable of monitoring and optimizing paid media, email, and social campaigns based on real-time performance.
- Develop dynamic lead nurturing workflows using NLP and LLMs to personalize prospect engagement.
- Create human-in-the-loop evaluation frameworks to ensure AI-generated outputs align with brand voice, quality, and security standards.
- Integrate AI agents with marketing platforms including HubSpot, Salesforce, 6sense, Google Analytics, and related MarTech tools.
- Design scalable prompt engineering strategies that improve reasoning accuracy and minimize hallucinations.
- Build AI workflows leveraging APIs, JSON data structures, and Retrieval-Augmented Generation (RAG).
- Continuously evaluate campaign performance and optimize autonomous marketing agents for maximum ROI.
- Partner with cross-functional teams to identify automation opportunities across the customer acquisition funnel.
- 2–4 years of experience in Growth Engineering, Marketing Engineering, Marketing Automation, or related technical roles.
- Experience building AI-powered workflows or autonomous agents.
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, or similar technologies.
- Experience with low-code/no-code automation platforms including Zapier, Make.com, Clay, or equivalent.
- Strong understanding of prompt engineering and LLM-based applications.
- Experience working with APIs, JSON, and RAG architectures.
- Knowledge of B2B marketing, buyer journeys, demand generation, and attribution models.
- Experience integrating AI solutions with CRM and marketing platforms.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred:
- Experience working within B2B SaaS organizations.
- Familiarity with Google Analytics, Salesforce, HubSpot, and 6sense.
- Experience deploying AI solutions into production environments.
- Knowledge of modern AI orchestration frameworks and evaluation methodologies.
What about languages?
Advanced English level is required for written and verbal communication.
How much experience must I have?
At least 3 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
- 3+ years professional experience building and deploying AI, ML, or software solutions in production environments
- Experience building AI-powered workflows or autonomous agents
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, or similar
- Experience with low-code/no-code automation platforms (Zapier, Make.com, Clay, or equivalent)
- Strong understanding of prompt engineering and LLM-based applications
- Experience working with APIs, JSON, and RAG architectures
- Experience integrating AI solutions with CRM and marketing platforms
- Knowledge of B2B marketing, buyer journeys, demand generation, and attribution models
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities; advanced English (written and verbal)
- Familiarity with Google Analytics, Salesforce, HubSpot, and 6sense
- Experience working within B2B SaaS organizations
- Experience deploying AI solutions into production environments
- Knowledge of modern AI orchestration frameworks and evaluation methodologies
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.
