Software Engineering SMTS
Hybrid (Indiana - Indianapolis; Texas - Dallas)$0Full timePosted yesterday
About the role
Senior software engineer role within the Agentic Selling Team, building production AI agents and integrating with Salesforce platforms. Focus on architecting and delivering agent systems using Agentforce, Agent Script, and NGA, with emphasis on scalability, AI/ML, and enterprise integration.
Responsibilities
- Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users
- Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases
- Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences
- Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy
- Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs and MCP
- Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases
- Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) while maintaining zero downtime for production systems
- Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction
- Mentor junior engineers through code reviews, technical guidance, and knowledge sharing
- Make critical technical decisions on agent design patterns, performance optimization, and scalability
- Work in an Agentic Agile engineering model leading design discussions, implementation, and delivery of major features
- Participate in architecture reviews and contribute to technical roadmap planning
- Lead UAT efforts, production deployments, and maintain high availability standards through bi-weekly release cycles
Qualifications
- 6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope
- Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#)
- Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama)
- Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents
- Experience with conversational AI, chatbots, or agent development platforms (Agentforce experience strongly preferred)
- Experience with cloud infrastructure (e.g., AWS, GCP, Heroku) and designing scalable, distributed system architectures
- Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization
- Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience
- Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms and data structures
- Excellent verbal and written communication skills with ability to influence technical decisions and collaborate across organizations
- Strong experience in test-driven development including unit testing, integration testing, and end-to-end automation for AI systems
- Proven ability to debug complex production issues, optimize system performance, and resolve customer-impacting problems
- Experience with developer tools such as Git, Docker, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker)
- Track record of mentoring engineers and elevating team technical capabilities
- Experience delivering large-scale features used by thousands of users with measurable business impact
Skills
Required:Backend developmentLarge language models (LLMs)Prompt engineeringCloud infrastructureSalesforce platformAPI architectures
Nice to have:Observability & debuggingMentoring
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
- comprehensive benefits details available at Salesforce benefits website
Last updated Oct 25, 2026. Interested? Apply on the company site.
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