Lead AI Engineer, Salesforce
Search & AI Components
$172.5-260.1k
+ Employee stock purchasing program
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$172.5-260.1k
+ Employee stock purchasing program
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, AI, Information Technology, or related fields
- 8+ years of proven experience as a full-stack software engineer, developing robust web and AI-enabled applications
- Strong knowledge of embedding models, LLM grounding, and agentic AI skills development
- Familiarity with the Salesforce ecosystem, Agentforce, and pro-code tools such as Heroku
- Hands-on experience with NoSQL and Graph databases (Neo4j, MongoDB, Cassandra, Redis) and vector databases (Milvus, Pinecone)
- Proficient in back-end development using Python, Java, or similar languages and server-side frameworks
- Skilled in version control (Git) and CI/CD pipelines for production deployment
- Ability to translate complex AI research into actionable engineering solutions
- Strong problem-solving skills and the ability to think strategically about emerging AI technologies
What the job involves
- We are seeking a Lead AI Engineer to shape the technical foundations of Salesforce’s Agentic Enterprise product suite
- In this role, you will develop agentic retrieval and AI skills, leveraging cutting-edge AI, GraphRAG, and multi-agent architectures
- You will collaborate with data engineers, product managers, and data scientists to execute the product roadmap, building scalable, high-impact solutions that redefine what’s possible in Agentforce
- You will be a technical thought leader, translating innovative AI concepts into production-ready systems that power next-generation agentic experiences
- You'll design and implement new features and functions across the app ecosystem in partnership with Product Managers and data engineers
- Build scalable agentic AI architectures for MCP servers and multi-agent environments
- Design RAG and GraphRAG pipelines to ensure agents are grounded in accurate, high-context, and real-time data
- Optimize retrieval strategies for enhanced agent performance and responsiveness
- Develop infrastructure that delivers seamless, responsive AI experiences for internal and external users
- Integrate Salesforce technologies and open-source tools to create the enterprise agentic data foundation
- Collaborate with Data Scientists to translate evaluation metrics into scalable, production-grade services
- Establish frameworks to continuously measure and improve agent performance
- Define and enforce coding standards, testing strategies, and best practices to maintain high-quality, high-performance systems
- Produce strategic technical documentation that captures architecture, product strategy, and implementation details
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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