Senior Software Engineer, AI
New
S
Sprout SocialSocial Media
Remote USFull-TimeSenior
Salary149200 - 220000 USD per year
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Job Details
- Experience
- 4+ years of experience designing, developing, and supporting production-grade backend distributed systems or platform services at scale; 3+ years of experience improving architectural patterns of large-scale software applications; 1+ years of experience driving root-cause analysis and resolving complex architectural and performance bottlenecks across the entire stack
- Required Skills
- AWSPythonJavaKubernetesMySQLRedisLLMGenerative AILangChain
Requirements
- 4+ years of experience designing, developing, and supporting production-grade backend distributed systems or platform services at scale in languages such as Java or Python
- 3+ years of experience improving architectural patterns of large-scale software applications
- 1+ years of experience driving root-cause analysis and resolving complex architectural and performance bottlenecks across the entire stack
- 1+ years of experience architecting high-throughput, cost-optimized, and scalable systems that power AI-enabled features (preferred)
- 1+ years of experience implementing and leveraging LLM and agent orchestration frameworks (e.g., LangChain4j, LangGraph, CrewAI) (preferred)
- Experience designing and implementing secure, extensible Java MCP architectures (bonus)
- Experience supporting server-driven UI, with the ability to contribute across both platform and web (bonus)
Responsibilities
- Ensure we build, scale, ship, and monitor our AI and Agent platforms reliably, leveraging technologies such as Java, Python, MySQL, OpenSearch, Redis, AWS, and Kubernetes
- Integrate generative AI and agentic AI across Sprout’s existing ecosystem and infrastructure, helping define and build frameworks for platform AI enablement
- Build with AI and agentic AI in your own work, using tools such as Claude Code
- Influence and contribute to technical roadmaps by researching and prototyping emerging AI technologies, frameworks, and state of the art methods
- Partner with product managers, designers, applied AI/ML scientists, and other engineers to define requirements and complete feature work
- Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring
- Contribute to the team’s growth through mentorship, knowledge sharing, and providing feedback on PRs and technical designs
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