Backend Engineer – AI Group
6 days ago
Sisense is building the future of AI-powered analytics. Our platform enables developers to seamlessly embed intelligence into their products, and AI is now at the core of this journey.
We're looking for a
Backend Engineer
with experience building production-grade services, eager to apply their expertise to AI-driven features. This role is about engineering at scale: designing APIs, pipelines, and services that bring advanced AI capabilities into a real-world analytics platform.
You'll work closely with product managers, data scientists, and fellow engineers to transform AI concepts into
production-grade APIs, services, and workflows
that are scalable, reliable, and performant.
What You'll Do
- Design and build backend services
that power AI features across the Sisense platform (e.g., Natural Language Query, semantic search). - Collaborate with cross-functional teams,
turning prototypes from data scientists into robust, customer-facing features. - Develop orchestration pipelines and APIs
that integrate LLMs and other AI services into our product. - Ensure
scalability, reliability, and performance
of AI-powered services in production. - Build
internal tooling and reusable components
to accelerate AI feature delivery across teams. - Integrate with infrastructure components, including LLM gateways, vector databases, and observability tools.
What You Bring
- 4+ years of backend or full-stack engineering experience
, building scalable, distributed systems. - Proficiency in
Python, , or Go
(bonus if you've worked with multiple). - Strong experience with
APIs, microservices, orchestration, and cloud platforms
(AWS, GCP, or Azure). - Ability to take experimental logic (e.g., from Data Science or AI prototypes) and
productionize it into maintainable services
. - Familiarity with
AI frameworks and tools
such as LangChain, RAG, MLflow, or vector databases. - Strong collaboration skills and ability to work across product, infra, and data teams.
Bonus points
- Experience with
agentic workflows, multi-agent orchestration
, or other advanced AI service patterns. - Exposure to
knowledge graphs, semantic search, or retrieval-augmented generation (RAG)
. - Interest in
AI observability, monitoring, and lifecycle management
.
Why This Role Matters
You'll be at the heart of bringing AI features to life for our customers. This is an opportunity to work on
production-grade AI systems at scale
, while still being grounded in solid backend engineering. If you're a software engineer excited to push the boundaries of applied AI in a real product, this role is for you.
About Sisense:
Sisense is a pioneer in embedded analytics and a leading provider of Analytics Platform as a Service (AnPaaS). We empower developers and product teams to infuse intelligence into every product and workflow. As we embrace the generative AI revolution, we're scaling our platform to help users ask, understand, and act on data with unprecedented ease and speed.
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