Senior Software Engineer, Python + AI Platform

Role Description

Smarsh is hiring a senior backend/platform engineer to build and scale agentic AI systems for enterprise use. You will build fast-moving, early-stage Python services that integrate AI capabilities into a production agentic platform. Your scope spans workflow execution, scale, reliability, and platform hardening as we grow.

This is not a generic backend role. The focus is building and designing agentic systems, shipping working software, and solving hard platform problems in a fast-moving AI-native environment. You will join a small, high-velocity cross-functional group and own problems end to end, designing and building from scratch, making fast architectural calls, and driving ideas from whiteboard to working system with a small, high-agency team.

What will you do?

• Drive backend development for AI workflows as part of a collaborative team.
• Build and evolve Python/FastAPI services powering core agentic workflows and platform capabilities.
• Productionize LLM integrations.
• Design for security and compliance.
• Build for scale.
• Support multi-tenant architecture.
• Improve platform reliability.
• Build real-time capabilities.
• Contribute to technical decisions.
• Work across ambiguity.
• Champion code quality.
• Design typed API contracts.

Qualifications

• Strong Python backend engineering: 7+ years professional software development, including 5+ years building Python services in production.
• Cloud-native backend experience: AWS experience, ideally with services relevant to secure enterprise workloads.
• Production distributed systems: Proven ability to productionize complex backend systems.
• Data-intensive system design: Strong knowledge of PostgreSQL and large-scale data processing patterns.
• Security and compliance mindset: Experience with multi-tenant systems and secure data handling.
• Strong ambiguity handling: Ability to work from partial requirements.
• Agentic workflow engineering: Hands-on experience building LLM-driven workflows.
• AI-native engineering: Experience working on or alongside AI-native engineering teams.
• Product mindset: Bias for shipping and learning from real usage.

Strong Pluses

• LLM / AI platform experience: Bedrock, OpenAI, Anthropic, LangChain/LangGraph.
• Identity and access: SSO/SAML/OIDC, enterprise auth patterns.
• Graph-shaped data and entity resolution: Experience with graph-backed data models.
• Observability stack: OpenTelemetry, tracing, metrics, alerting.
• Regulated communications or compliance domain: Background in systems that handle sensitive communications.
• Infrastructure as code: Terraform, feature flags, canary deployments.

Salary

$195,000 - $260,000 a year. The salary range above represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting.

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility, and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success.