Software Engineering Intern at Intapp working on AI - powered solutions and web applications. Collaborate with engineers, gain mentorship, and learn best practices in a hybrid environment.
About the role
- Senior Software Engineer designing and building core platform capabilities for production-grade agents. Focused on orchestration and intelligent digital workflows with a strong engineering background.
Responsibilities
- Design and implement multi-agent and digital worker orchestration patterns that enable specialized agents to delegate, collaborate, and complete multi-step business goals.
- Build stateful and cyclic workflows using frameworks such as LangGraph, CrewAI, AutoGen, or similar, enabling reflection, recovery, and adaptive execution beyond simple linear chains.
- Develop reusable orchestration components for routing, retries, fallback logic, structured outputs, and human-in-the-loop interventions.
- Define how digital workers compose and invoke reusable skills across common enterprise workflows.
- Build and maintain reusable skills that encapsulate business actions, domain logic, tool usage, and workflow steps in a standardized way.
- Implement resilience patterns for non-deterministic AI systems, including timeout handling, intelligent retries, degraded execution modes, and escalation paths.
- Design systems for long-running, resumable workflows for agents and digital workers, including checkpointing, persistence, context restoration, and lifecycle management.
- Build automated evaluation frameworks to measure workflow quality, skill execution quality, tool-use accuracy, groundedness, safety, and task success.
- Drive reusable engineering standards, shared libraries, and reference patterns for agent development, digital workers, and skills across the platform.
Requirements
- 8+ years of software engineering experience with strong proficiency in Python and backend/platform engineering.
- Hands-on experience building LLM-powered systems, agents, digital workers, or workflow automation platforms in production.
- Experience with frameworks such as LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or similar.
- Strong experience in APIs, distributed systems, cloud-native engineering, and production reliability.
- Experience designing and integrating RAG pipelines, tool-calling systems, reusable skills, and structured output patterns.
- Experience with at least one major cloud platform such as AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD practices.
- Ability to design systems with strong trade-off awareness across quality, latency, cost, resilience, and maintainability.
Benefits
- Flexible working hours
- Professional development opportunities
Job title
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Not specified
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Tech skills
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