Architect and build autonomous AI agents for revenue operations: develop agentic systems using LangChain/LlamaIndex, implement RAG and prompt engineering, integrate with Salesforce and cloud services, optimize LLM inference, and add observability and scalable deployments to drive predictive sales and customer success automation.
Senior AI/Data Engineer - Autonomous Agentic Systems
MaxIQ is building the industry’s first revenue AI platform that transforms how B2B SaaS companies manage customer journeys. Join us to pioneer autonomous agentic systems that empower sales teams with predictive insights and intelligent automation.
You’ll architect AI agents that autonomously optimize revenue operations for sales, customer success, and RevOps teams.
These agents will replace fragmented workflows with predictive guidance, real-time customer journey analysis, and context- aware automation. Your work will directly contribute to MaxIQ’s mission of turning customer interactions into predictable revenue engines
- Autonomous Agent Development: Build AI agents using LangChain, LlamaIndex, and Python/Java to automate deal qualification, churn prediction, provide valuable insights and calculate customer health scoring
- Sales Intelligence Augmentation: Design agents that provide role-specific insights (e.g., deal guidance for AEs, renewal alerts for CSMs) while integrating with tools like Salesforce
- Prompt Engineering & RAG: Evolve chat-based assistants into autonomous systems using retrieval-augmented generation and real-time data pipelines.
- Observability Stack: Implement tracing, logging, and monitoring for agent decisions to ensure transparency in revenue-critical operations
- Scalable Inference: Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployment
Education: BS/MS in Computer Science, Data Science, or related fields
- 5+ years with Gen AI frameworks, LLM fine-tuning, and agentic architectures
- Expertise in Python/Java, AWS/GCP, and containerized microservices
- Experience building observability into AI agents is a plus
- Passion for solving complex revenue operations challenges in B2B SaaS
- Startup mindset – thrives in fast-paced environments with high ownership
- Category-Defining Product: Shape the future of AI- powered customer journey management
- Agentic AI Focus: Work on cutting-edge autonomous systems that process millions of customer interactions daily
- Global Impact: Deploy solutions used by enterprises to drive reductions in sales cycle times and higher customer lifetime value
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
Build and optimize scalable streaming and batch data pipelines, ETL and feature-extraction services, and Java/Python microservices to support LLM-driven AIOps products. Integrate observability data, manage embeddings and vector retrieval, enforce schema/lineage/privacy, instrument services with OpenTelemetry, and collaborate with AI, SRE, and platform teams to ensure performant, fault-tolerant AI pipelines.
Top Skills:
AirflowCi/CdClickhouseContainerizationDelta LakeEmbeddingsFastapiGrpcIcebergJavaKafkaKubernetesLanggraphLlmsOpentelemetryPythonRedis StreamsRestSparkSpring BootSseVector RetrievalWebsockets
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead design and delivery of agentic LLM-powered workflows and autonomous agents across GTM systems (Salesforce, Slack). Build RAG/semantic search, orchestration, vector retrieval, evaluation frameworks, CI/CD, and secure AI integrations. Mentor engineers, replace legacy integrations, enforce AI engineering standards, and implement observability, governance, and automation for production-grade enterprise AI.
Top Skills:
AgentcoreAgentforceApexAutogenAws BedrockCopadoCrewaiGithub ActionsJavaScriptJenkinsLangchainLanggraphLightning Web ComponentsLlamaindexMcpPythonRestSalesforce EinsteinSalesforce Platform EventsSemantic KernelSlackSlack Workflow BuilderSoapTypescriptVector DatabasesVertex Ai
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Design, develop, and own Java-based backend services and REST APIs; build and enhance Angular/Node.js UIs; ensure code quality through testing and automation; troubleshoot distributed production issues; collaborate cross-functionally; mentor engineers and drive engineering best practices, performance, resiliency, and AI readiness.
Top Skills:
Ai Engineering TechnologiesAngular (2+)JavaMcp ServersNode.jsRest ApisSpring BootStreaming
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
