[Remote] Senior Backend Engineer – Automation & Platform Implementation -

Note: The job is a remote job and is open to candidates in USA. Assembly Industries is a fast-growing startup focused on building an AI-enabled talent platform that connects skilled global professionals with innovative companies across the US. They are seeking a Senior Backend Engineer to work on Automation & Platform Implementation, focusing on engineering internal orchestration infrastructure and executing customer-facing platform deployments.

Responsibilities

• 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
• Connect external systems through custom sync pipelines, webhooks, and enterprise integrations (e.g., OAuth, ETL-style ingestion)
• Debug production issues across our stack and customer environments, capturing field insights to improve the core platform
• Enhance platform observability by setting up robust tracing, execution visibility, and debugging tools for failed runs

Skills

• 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
• Experience building or integrating workflow engines or enterprise automation systems (beyond one-off scripting)
• 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
• Strong interest or hands-on experience in semantic search, RAG pipelines, or conversational AI backends
• High Agency & Independent Execution: You have a strong sense of ownership and the exceptional self-direction required to navigate undocumented paths, make sound architectural calls, and take a project to completion with minimal guidance
• Thrives in a Startup Environment: You are energized by a fast-paced, evolving startup environment, are comfortable when requirements pivot, and are explicitly not looking for a predictable, mature role at a big company
• Wears Multiple Hats Comfortably: You gladly step outside a narrow engineering lane. You can context-switch seamlessly between core backend engineering, customer fire drills, and partner-facing implementation without losing quality
• Customer-Facing Technical Experience: Proven ability to interface with product teams, solution architects, and customer stakeholders to translate vague user requirements into working, deployed software
• Strong Documentation Culture: A consistent habit of writing clear system designs and deployment guides so that the next team member never has to start from zero
• Familiarity with durable execution systems or workflow engines (e.g., Temporal, Airflow, Camunda)
• Experience designing plugin, connector, or developer framework ecosystems
• Understanding of Edge/serverless computing or Backend-for-Frontend (BFF) patterns for customer-facing apps

Company Overview