
Full Stack Automation Engineer
3 days ago
Talent is not evenly distributed - Assembly Industries aims to break this pattern by building a platform that connects top professionals with innovative companies. As a fast-growing startup, we focus on impactful growth and exceptional results.
Job OverviewThis role involves contributing to our internal orchestration platform, a mission-critical system powering automation across our products and services. You will help architect, design, and implement a robust orchestration engine built using Java microservices and a NoSQL document database.
This isn't just about tools and scripts automation. You will build backend systems that are reliable, scalable, and extensible for automation. Your core responsibility includes collaborating with teams to expose automation capabilities as APIs and internal services while ensuring seamless integration with other systems.
Key Responsibilities- Design and develop the backend orchestration platform that powers automation workflows at Assembly.
- Lead the development of Java-based microservices and distributed components responsible for task execution, state management, and orchestration logic.
- Model and manage NoSQL document databases for tracking task states, contexts, metadata, and agent workflows.
- Define internal API contracts, services, and system boundaries that enable modular orchestration logic and integration with LLMs or external APIs.
- Collaborate on infrastructure that supports agentic workflows, RAG pipelines, and other AI-native use cases.
- Architect services that support document chunking, metadata extraction, embedding indexing with vector databases, prompt chaining, and context injection.
- Work with AI and Product teams to design systems that are extensible to evolving LLM tooling and chaining methods.
- Integrate third-party APIs and automation layers into the orchestration fabric as plugins or services.
- Provide extensible APIs and libraries for building reusable automation blocks or launching agents programmatically.
- Collaborate with frontend and systems engineers to surface automation configuration, execution results, and observability.
- Work with solution engineers and AI specialists to prototype LLM-integrated automation flows.
- Build internal tooling for LLM evaluation, tracing, prompt versioning, and response debugging.
- 6+ years of software engineering experience, including system design and distributed architecture.
- Strong proficiency in Java, especially for building scalable microservices.
- Experience with NoSQL document databases (e.g., MongoDB, Firestore, Couchbase).
- Deep understanding of distributed systems patterns—queues, retries, idempotency, service orchestration.
- Comfort working with solution architects, AI engineers, and product stakeholders to translate business problems into backend architecture.
- Strong communication skills and ability to document systems for a cross-disciplinary team.
If you have built RAG, agentic, or automation backend projects on your own, that would be a huge plus.
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