Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Your Role & MissionAs a Senior AI Engineer on our AI Engineering team, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You'll work on critical Apollo capabilities including our AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features that directly impact millions of users' productivity. The mission of our AI teams is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation. What You'll Be Working OnAI Assistant & Agent Systems - Agent Architecture & Implementation: Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows - Context Management: Develop systems that maintain conversational context across complex multi-turn interactions - LLM and Agentic Platforms: Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem - Backend Systems: Build back-end systems necessary to support the agents. - AI features: Conversational AI, Natural Language Search, Personalized Email Generation and similar AI features Classical AI/ML (Optional Focus) - Search Scoring & Ranking: Develop and improve recommendation systems and search relevance algorithms - Entity Extraction: Build models for automatic company keywords, people keywords, and industry classification - Lookalike & Recommendation Systems: Create intelligent matching and suggestion engines Key Responsibilities - Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements - Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows - Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques - System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services - Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards - Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios - Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions Required QualificationsCore AI/LLM Experience (Must-Have) - 7+ years of software engineering experience with a focus on production systems - 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs - Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools) - Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation - Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques Technical Engineering Skills - Python Proficiency: Expert-level Python skills for production AI systems - Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures - LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks - API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities - Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure) Quality & Evaluation Focus - Testing & Evaluation: Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics - A/B Testing: Understanding of experimental design for AI system optimization - Monitoring & Reliability: Experience with production monitoring, alerting, and debugging complex AI systems - Data Pipeline Management: Experience building and maintaining scalable data pipelines that power AI systems What Makes a Great CandidateProduction-First Mindset - You've built AI systems that real users depend on, not just demos or research projects - You understand the difference between a working prototype and a production-ready system - You have experience with user feedback, iterative improvements, and feedback systems Technical Depth with Business Impact - You can design end-to-end systems, including back-end systems, asynchronous workflows, LLMs, and agentic systems - You understand the cost-benefit trade-offs of different AI approaches - You've made decisions about when to use different LLM providers, fine-tuning vs prompting, and architecture choices Evaluation & Quality Excellence - You implement repeatable, quantifiable evaluation methodologies - You track performance across iterations and can explain what makes systems successful - You prioritize safety, reliability, and user experience alongside capability Adaptability & Learning - You stay current with the rapidly evolving LLM landscape - You can quickly adapt to new models, frameworks, and techniques - You're comfortable working in ambiguous problem spaces and breaking down complex challenges Our AI Impact at ApolloJoin a team that's already making significant impact: - Our AI Assistant helps sales teams automate research, scoring, and outreach processes - Assisted Prompting Mode allows users to leverage AI power-ups without being prompt engineering experts - Our AI email assistant processes hundreds of thousands of words monthly for Professional plan user - We help users "book more meetings in less time by automating research, scoring, outreach, & more with embedded AI sales assistants" If you're looking for a place where your AI engineering work directly impacts millions of users, where you can push the boundaries of what's possible with LLMs and agents, and where your career can thrive in the AI-native future—Apollo is the place for you. Application InstructionsTo help us identify candidates with strong real-world AI engineering experience, please answer the following five short screening questions directly in your application (2–5 sentences per response). Applications without answers to these questions will not be reviewed. Apollo.io Tech Blog : deep dives into engineering, product design, and company-culture stories from the Apollo team, offering behind-the-scenes insight into how Apollo builds and scales its B2B sales platform We are AI NativeApollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at ApolloAt Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!

• Lead the design and implementation of AI architectures, frameworks, and reusable patterns that support scalable, production-ready AI systems. • Serve as the technical authority for AI initiatives, helping teams make sound decisions around model selection, infrastructure, security, and performance. • Design, build, and maintain AI-powered services and applications using Python and modern AI/LLM tooling. • Integrate and operationalize large language models and AI services, including Anthropic, within real-world production environments. • Architect and deploy AI workloads on AWS, including model hosting, inference pipelines, monitoring, and cost optimization. • Collaborate with product, engineering, and client stakeholders to translate business problems into effective AI solutions. • Establish best practices for AI development, including prompt design, evaluation, testing, observability, and responsible AI usage. • Mentor and guide engineers working with AI technologies, raising the overall AI maturity of the organization. • Stay current with emerging AI tools, frameworks, and industry trends, and proactively recommend improvements and innovations.

At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity. Sr. Enterprise AI Engineer United States of America At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being dramatically lower cost than legacy hyperscalers, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity. Role Description: Enterprise AI Engineer . *Principals only. No recruiters. Role Purpose: Wasabi is seeking an AI Engineer to help build and scale our Enterprise AI Platform. This platform will be the foundation that enables AI assistants, agents, and AI-powered applications across Wasabi’s business functions. In this role, you’ll be a hands-on engineer who can translate business needs into concrete AI solution designs, implement core platform and application components, and drive solutions into production with measurable impact. You’ll operate at the intersection of AI innovation, software engineering, and business operations. You will partner closely with stakeholders across Sales, Marketing, Finance, HR, Legal, Customer Support, and IT to deliver secure, reliable, and scalable AI capabilities that elevate productivity and decision-making across the company. Responsibilities: - - Design and implement AI-powered solutions (assistants, agents, and apps) that solve business problems across enterprise functions. - Build platform capabilities for modern AI workloads, including retrieval-augmented generation (RAG), agent orchestration, evaluation, and production inference services. - Implement scalable services that support low-latency, high-throughput AI applications, while meeting reliability, security, and cost objectives. - Develop reusable patterns, libraries, and best practices that enable teams to safely and efficiently build on the Enterprise AI Platform. - Support rapid experimentation (POCs), evaluate emerging AI tools/frameworks, and help evolve platform architecture to incorporate successful innovations into production. - Contribute to MLOps pipelines (training, fine-tuning, versioning, deployment, monitoring, drift detection) to streamline the model lifecycle. - Help define and implement automated testing strategies for AI solutions (quality, safety, regression, hallucination checks, latency, and robustness). - Partner with Data/Analytics, Security, IT, and Engineering teams to ensure strong data governance, privacy protections, and responsible AI practices. - Contribute to team engineering excellence through code reviews, documentation, and knowledge-sharing. Requirements: - - 5+ years of experience in software engineering or applied AI/ML engineering, with experience building production services. - Demonstrated ability to design and deliver AI/ML-powered applications and/or platform capabilities in real-world environments. - Solid understanding of core AI concepts and modern Generative AI patterns (RAG, prompt engineering, evaluation, agentic workflows). - Experience with the AI lifecycle: data pipelines, training/fine-tuning (where applicable), evaluation, deployment, and monitoring. - Proficiency in one or more of: Python, Go, Java, or similar languages with strong fundamentals in APIs, reliability, observability, and performance. - Experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and cloud AI/ML platforms (AWS, GCP, Azure). - Strong communication skills and the ability to work effectively with technical and non-technical stakeholders. Nice to have: - - BS in CS/ML or related field, or equivalent practical experience. - Experience with security and privacy controls for AI systems (PII handling, access control, guardrails, auditability). - Experience working with distributed systems and large-scale data platforms. Base Salary – $160,000 - $200,000 The base salary range reflects the full range for this position at Wasabi Technologies. At Wasabi, we believe in paying fairly and competitively, and individual compensation is determined based on factors such as job-related experience, skills, location, and internal equity. Base pay is just one part of our total rewards approach. Depending on role eligibility, Wasabi team members may also receive additional compensation and benefits, including bonus or variable compensation, equity, and a comprehensive benefits package designed to support both professional growth and personal well-being. Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy. Key Responsibilities: This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance. Platform Assessment & Implementation · Leverage first, build second: Prioritize the use of AI capabilities already available within FINN Partners’ tech stack to automate workflows and boost productivity. · Assess, evaluate, and implement a standard agentic AI platform to serve as the foundational technology for enterprise-wide solutions, ensuring our internal AI stack remains modern, efficient, and aligned with industry best practices. Internal Tool Development & Prototyping · Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements. · Rapidly prototype lightweight AI‑enabled utilities, validate business value, and promote successful pilots into robust production services. · Oversee architectural and technology choices made by AI systems by reviewing model selection, libraries and frameworks, and debug complex multi‑service environments when needed. System Architecture & Technical Oversight · Oversee architectural and technology choices for all internal AI systems by reviewing model selection, libraries, and frameworks. · The Solutions Engineer is also responsible for debugging multi-service environments when needed. Hands-On Prompt Engineering & Solutioning · Provide expert guidance on crafting effective prompts and interaction patterns for generative models (Gemini, ChatGPT, Claude, etc.). · Assist teams with data preparation, fine‑tuning and evaluation to maximise solution accuracy, safety and reliability. Required Skills & Qualifications Technical Expertise · A solid understanding of machine learning techniques and algorithms. · Strong proficiency in applicable programming languages · Experience with AI frameworks and libraries Platform & Systems Knowledge · Practical experience with generative AI APIs and evaluation methods. · Strong familiarity with cloud platforms like Azure, GCP, or AWS and their respective AI/ML services. The ability to design and implement scalable and robust AI systems is a core requirement. · Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions Problem-Solving Strong analytical thinking and problem-solving capabilities are essential for navigating complex technical challenges and translating business needs into technical requirements. Work Experience A degree in Computer Science, Artificial Intelligence, or a related field is typically required, along with significant hands-on experience in a similar role. Why Join Us? ● Be at the forefront of AI innovation and directly impact how our entire organization leverages this transformative technology. ● Work in a collaborative and supportive environment where your contributions are highly valued. ● Opportunity for continuous learning and professional development in a rapidly evolving field. ● Shape the future of AI adoption and empower 1300+ employees to achieve their full potential. Anticipated Salary: $90K to $100K.; salary commensurate with experience and depending upon workplace. Please upload your resume and cover letter, as well as indicate your desired salary in $US Dollars. While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest. #LI-DS1 #LI-remote About FINN Partners: Founded in 2011 on the core principles of innovation and collaborative partnership, FINN Partners has grown from about $24 million in fees to nearly $200 million in fees over ten years, becoming one of the fastest growing independent public relations agencies in the world. The full-service marketing and communications company's record setting pace is a result of organic growth and integrating new companies and new people into the FINN world through a common philosophy. With more than 1,300 professionals across 35 offices, FINN provides clients with global access and capabilities in the Americas, Europe and Asia. FINN Partners clients are also supported through longstanding partner agencies and its membership in the PROI network of leading agencies around the world. Headquartered in New York, FINN has offices in: Abu Dhabi, Atlanta, Bangalore, Bangkok, Beijing, Boston, Chicago, Delhi, Denver, Detroit, Dublin, Fort Lauderdale, Frankfurt, Hong Kong, Honolulu, Jerusalem, Kuala Lumpur, London, Los Angeles, Madison, Manila, Mumbai, Munich, Nashville, Orange County, Paris, Portland, San Diego, San Francisco, Seattle, Shanghai, Singapore, Washington D.C. and Yangon.