Senior Backend Engineer – Automation, Platform Implementation

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Assembly Industries

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Assembly Industries is a company that combines AI technology with human expertise to enhance business operations and workforce efficiency. By offering advanced AI agents that automate complex tasks and integrating human oversight for quality assurance, they aim to transform how organizations function in the digital age. Their solutions are designed to provide specialized support across various sectors, ensuring seamless collaboration between AI systems and human skill sets.

📋 Description

• Build, extend, and optimize Java-based microservices responsible for task execution, state management, and orchestration logic. • Model and manage NoSQL document databases to track execution state, workflow metadata, and session/context persistence. • Define internal API contracts, adapters, and connectors that enable modular integration with external APIs and customer deployments. • Implement production-ready infrastructure for data ingestion, document chunking, embedding indexing, and retrieval (RAG) pipelines. • Architect backend services that support multi-step agentic flows, including context assembly, tool calls, and session memory. • Turn product requirements for semantic search and AI assistant features into resilient, production-grade backend code. • Deploy, configure, and customize the automation platform to meet specific customer use cases and business requirements.

🎯 Requirements

• 4–6 years of software engineering experience building resilient production backend systems and working with distributed architectures. • Strong proficiency in Java, with deep experience developing scalable microservices, handling asynchronous jobs, retries, idempotency, and system failure modes. • Experience with NoSQL document databases (e.g., MongoDB, Firestore, Couchbase) for state and metadata tracking. • Working knowledge of Python for building integrations, tooling, and rapid prototyping. • Solid understanding of LLM application structures, including embedding systems, vector search, retrieval mechanics, context windows, and agent/tool execution. • Proven ability to interface with product teams, solution architects, and customer stakeholders to translate vague user requirements into working, deployed software. • A consistent habit of writing clear system designs and deployment guides so that the next team member never has to start from zero.

🏖️ Benefits

• Remote position available for candidates in Argentina