Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments and needs to implement features for GenAI services and APIs that power chat assistants, and automation workflows across Splunk products.
Requirements
- Proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Go, or Java) and solid software design/debugging skills.
- Some hands-on experience with LLM APIs and ecosystems (e.g., OpenAI, Claude, Bedrock, or OSS models such as Llama) and related production features.
- Familiarity with web APIs and microservices (REST/gRPC), including testing, deployment, and basic observability (logs/metrics).
- Experience or strong interest in RAG systems and vector databases (Weaviate, Qdrant, Milvus, FAISS, etc.).
- Exposure to agentic frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar) and tool/agent orchestration patterns.
- Familiarity with LangSmith or similar evaluation platforms, or experience instrumenting prompts/pipelines for quality and debugging.
- Background contributing to platform or Developer experiences capabilities: internal libraries, SDKs, templates, or shared components that other engineers use.
Responsibilities
- Implement features for GenAI services and APIs that power chat assistants, and automation workflows across Splunk products.
- Help build and maintain RAG pipelines: retrieval orchestration, hybrid search, chunking & embeddings, and grounding with logs/events/metrics.
- Contribute to agentic and multi-agent workflows using frameworks like LangChain or LangGraph, integrating with MCP tools, internal APIs, and external systems.
- Develop and refine developer-facing SDKs, templates, and reference apps (primarily Python/TypeScript) that make it simple for other teams to compose tools, chains, and agents on top of it.
- Integrate with LangSmith or similar eval stacks to instrument prompts, capture traces, and run evaluations under the guidance of more senior engineers and scientists.
- Collaborate with product managers and UX to turn user stories into GenAI experiences, iterate based on feedback, and ship features that move customer and business metrics.
- Apply and advocate responsible AI practices in day-to-day work: grounding, guardrails, access controls, and human-in-the-loop flows.
Other
- Bachelor's degree in computer science, Engineering, or equivalent practical experience.
- 5+ years of hands-on experience building and operating backend or distributed systems in production or 2+ years of experience with a Master’s degree
- Demonstrated ability to work end-to-end on features: collaborate on design, implement, write tests, help deploy, and iterate based on metrics or feedback.
- Strong communication skills and a growth mindset, comfortable asking questions, giving/receiving feedback, and learning from more senior teammates.
- Ability to work in the U.S. and/or Canada, with specific salary ranges and benefits provided
