Lead Software Engineer, AI Applications

Salesforce•Palo Alto, CA

1d•$172,500 - $285,800•Hybrid

About The Position

This is a revolutionary role where you will architect the next generation of enterprise solutions at the intersection of AI + Data + CRM. As a trailblazing AI Applications Engineer specializing in modern tools (e.g., Langchain), you will be the core driver of innovation. Your mandate is clear: design, fine-tune, and optimize for a diverse portfolio of high-impact enterprise use cases like moving entire customizations from one stack to another. You will be developing state-of-the-art solutions that fundamentally transform how organizations leverage AI in their critical workflows. This requires a mastery of backend engineering, AI Tools, all focused on extracting the maximum potential from LLMs. Join interdisciplinary teams to seamlessly integrate these cutting-edge AI technologies into the heart of the Salesforce product ecosystem. Furthermore, you will directly empower almost ALL of our Application teams by collaborating closely to bring their visionary ideas to fruition and by building essential tooling to accelerate their success. This is your chance to build a legacy by defining the future of AI.

Requirements

Strong expertise in using LLMs & AI application frameworks (e.g. LangChain)
7+ years of professional software development experience
High proficiency in Python and Java programming language
Experience in REST-based API development, API lifecycle management and/or client SDKs development
Solid understanding of both relational and non-relational databases.
Experience with developer tools such as Git and Jenkins
Demonstrated experience of working with ReST and thorough understanding of its fundamentals
Working knowledge of building B2B or B2C SaaS applications using cloud providers such as AWS, GCP, or Azure is desired
Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.
Experience with Spring, gRPC, REST and the HTTP protocol
Experience with Agile development methodology

Nice To Haves

Proficiency in Python and popular AI application frameworks like Langchain
Prior experience in building AI solutions for enterprise software or SaaS platforms.

Responsibilities

AI Application development
Leverage tools such as LangChain to creatively and resourcefully tackle problems, maintaining an open-minded approach to implementation.
Good grasp & experience with full stack development (data modelling concepts, business logic, UI)
Translating business requirements into viable AI solutions and effectively conveying intricate technical concepts to non-technical audiences.
Proven experience working in cross-functional teams to deliver impactful results.
Ability to effectively communicate and execute with geographically distributed teams.
Experience in a fast-paced technical environment with changing priorities
Ability to develop and ship products in quick increments across multiple versions
Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available