Senior AI & Solutions Engineer

Role Overview

Senior AI & Solutions Engineer at MaxAccelerate. This is a fully remote role working with an international team and customers across multiple markets.

Role Purpose

Build AI-powered enterprise solutions by combining full-stack engineering expertise with hands-on experience in large language models, Salesforce, and proprietary CRM technology. You will take customer challenges from concept through architecture, code, and working prototype to production solution, while shaping the company's AI strategy and embedding AI capabilities throughout the organization.

Key Responsibilities

AI Solution Development

• Build AI agents, intelligent CRM capabilities, AI sales assistants, customer intelligence platforms, automated workflows, RAG and enterprise knowledge systems, AI-powered business processes, AI copilots, multi-agent solutions, LLM-powered applications, and industry-specific AI solutions.
• Work hands-on with the latest AI technologies including OpenAI, Anthropic Claude, Gemini, and proprietary platforms.
• Experiment with new technologies and approaches to determine what genuinely works.

Salesforce & AI Integration

• Build innovative AI experiences around Salesforce using Salesforce, Salesforce Agentforce, Einstein, Apex, Lightning Web Components, Salesforce Flow, Salesforce APIs, and external LLM integrations.
• Combine Salesforce capabilities with leading LLMs such as Claude and OpenAI to create solutions beyond standard CRM functionality.

Proprietary CRM Development

• Work directly on the proprietary AI-powered CRM platform to design and build AI-native CRM functionality, AI sales intelligence, automated account research, intelligent lead analysis, AI-generated customer insights, sales agents, automated workflows, AI-powered customer engagement, intelligent recommendations, and enterprise AI assistants.
• Help shape what an AI-native CRM should look like rather than simply integrating AI into an existing product.

Full-Stack Engineering

• Develop front-end solutions using React, TypeScript, JavaScript, Next.js, HTML/CSS, and modern component architectures.
• Build backend systems using Python, Node.js, FastAPI, REST APIs, GraphQL, and microservices.
• Implement AI engineering solutions using OpenAI/ChatGPT, Anthropic Claude, Gemini, LLM APIs, prompt engineering, RAG, vector databases, embeddings, function/tool calling, AI agents, agentic workflows, multi-agent architectures, AI evaluation, AI guardrails, and AI security.
• Utilize frameworks such as LangChain, LangGraph, or equivalent technologies.

Customer Engagement & Solutions Design

• Work directly with customers, prospects, and senior stakeholders to understand their businesses and identify where AI can make a real difference.
• Conduct customer discovery sessions, technical workshops, AI strategy discussions, and solution design.
• Deliver technical demonstrations and lead proof-of-concepts.
• Respond to RFP/RFI requests and deliver customer presentations.
• Develop AI roadmaps and implement solutions.
• Explain complex technology in ways that make sense to CEOs, CIOs, CTOs, and business leaders.

Business Development Partnership

• Become a key technical partner to the Business Development team to create best-in-class industry demonstrations designed around real customer challenges.
• Build industry-specific demonstrations that help customers immediately understand and get excited about solutions tailored to their problems.
• Turn opportunities into compelling technical demonstrations.

Internal AI Leadership

• Work with R&D and Services teams to introduce new AI technologies and develop AI engineering standards.
• Train developers and consultants on AI capabilities and best practices.
• Build reusable AI components and create internal AI frameworks.
• Identify opportunities for automation and help teams incorporate AI into existing solutions.
• Run internal AI workshops and share new developments and technologies.
• Become a key technical voice shaping the company's AI strategy.

Content Creation & Storytelling

• Create product demonstrations, AI demo videos, technical walkthroughs, customer presentations, internal training videos, LinkedIn/video content, technical articles, and architecture demonstrations.
• Be comfortable demonstrating work on camera and presenting technology to audiences.

Fast-Paced Execution

• Work to tight deadlines and rapidly prototype ideas.
• Prioritize what matters and make decisions quickly.
• Work independently and iterate quickly based on feedback.
• Move from idea to demonstration in days rather than weeks.
• Build, test, learn, and improve quickly without requiring everything to be perfect on the first attempt.

Qualifications & Experience

• 7 or more years of software engineering or solution architecture experience.
• Significant Salesforce experience.
• Experience with Salesforce Agentforce and Einstein.
• Hands-on experience with OpenAI and/or Anthropic Claude.
• Experience building LLM-powered applications.
• Experience with AI agents and RAG.
• Strong API and integration experience.
• Cloud experience.
• Enterprise architecture experience.
• Experience working directly with customers.

Skills & Competencies

Full-Stack Development

• Strong full-stack development skills.
• Strong React and TypeScript.
• Strong Python and/or Node.js.
• JavaScript, Next.js, HTML/CSS, and modern component architectures.
• FastAPI, REST APIs, GraphQL, and microservices architecture.

AI Engineering

• Hands-on experience with OpenAI, Anthropic Claude, Gemini, and LLM APIs.
• Prompt engineering, RAG, vector databases, embeddings, and function/tool calling.
• AI agents, agentic workflows, and multi-agent architectures.
• AI evaluation, AI guardrails, and AI security.
• Frameworks such as LangChain, LangGraph, or equivalent technologies.

Salesforce

• Salesforce CRM, Salesforce Agentforce, Einstein, Apex, Lightning Web Components, Salesforce Flow, and Salesforce APIs.

Database & Infrastructure

• PostgreSQL, MongoDB, Redis, vector databases, pgvector, Pinecone, Weaviate, and Elasticsearch/OpenSearch.
• Azure, AWS, Google Cloud, Docker, Kubernetes, Git, GitHub/GitLab, and CI/CD.

Communication & Soft Skills

• Excellent communication skills.
• Ability to explain complex technology to business leaders.
• Comfort with public speaking and on-camera demonstration.
• Commercial thinking and business acumen.
• Creativity and problem-solving ability.
• Curiosity and enthusiasm for emerging technologies.

Additional Information

• Fully remote role with international team and customers across multiple markets.
• Fast-paced environment where customer opportunities often appear with tight deadlines.
• Opportunity to experiment, innovate, and influence the direction of AI technology.
• Freedom to build and showcase work through customer demos, videos, presentations, and industry events.
• Genuine opportunity to shape the product and influence how AI products and the AI-powered CRM are built.