Senior Agentic Automation Engineer

Quick Facts

• Role: Senior Agentic Automation Engineer
• Focus: End-to-end design and deployment of agentic multi-agent systems

Description

You will lead the design, development, and deployment of intelligent multi-agent systems that combine reasoning, decision-making, and autonomous execution. You will own the full lifecycle of agentic solutions—embedding security, auditability, and performance into the design—and help other teams adopt solutions via reusable templates and documentation.

Responsibilities

• Design and deploy end-to-end agentic systems that support reasoning, decision-making, and autonomous execution
• Create multi-agent architectures using established agent design patterns and robust cross-agent communication
• Build advanced context and memory capabilities (dynamic context compression, persistent multi-layer memory, retrieval and forgetting)
• Develop custom RAG and vector-based retrievers optimized for relevance, latency/throughput, and semantic search
• Orchestrate tools via MCP with transport and authentication knowledge
• Script in JavaScript and/or Python to extend platform functionality and preprocess data
• Implement secure, auditable pipelines with encryption, access control, PII sanitization, and traceability
• Design and operate solutions using cloud agent frameworks (AWS, GCP, Azure)
• Implement end-to-end observability using LLM-specific tooling, OpenTelemetry tracing, and infrastructure monitoring
• Create reusable workflow templates and documentation for broader adoption
• Own the lifecycle from design and implementation through observability and iteration
• Enable other teams through clear documentation, templates, and guidance

Requirements

• 3+ years of experience in software or automation engineering
• Proven expertise in end-to-end agentic system design (reasoning, decision-making, execution)
• Expertise in multi-agent architecture, including design patterns and cross-agent collaboration/critique
• Proficiency in advanced context and memory techniques (compression, multi-layer memory, retrieval/forgetting, vector stores, RAG pipelines)
• Background in custom RAG and retrieval optimization for relevance, latency/throughput, and semantic search
• Knowledge of MCP at depth, including HTTP, WebSocket, gRPC and OAuth/token-based authentication
• Scripting skills in JavaScript and/or Python for extending platforms and preprocessing data
• Competency in designing secure, auditable pipelines (encryption, access control, PII handling, traceability)
• Familiarity with cloud agent frameworks (AWS, GCP, Azure) at an intermediate level
• Understanding of observability practices (LLM-specific tooling, OpenTelemetry, infrastructure monitoring with cost/performance tracking)
• Ability to build reusable templates and produce cross-team documentation
• English fluency (written and spoken) at B2 level or higher

Benefits

• Engineering community and friendly team environment; flexible schedule and opportunity for remote work within Poland
• Chance to work abroad up to 60 days annually; business-driven relocation opportunities
• Career growth roadmap, leadership development, career advising, soft skills, and well-being programs
• Certifications (GCP, Azure, AWS); unlimited LinkedIn Learning, Get Abstract, Cloud Guru; English classes
• Stable income (Employment Contract or B2B) and participation in Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Offices with entertainment/relaxation zones, table tennis and football, free snacks, and great coffee
• Referral bonuses and corporate/community/well-being events

Note

Bonuses may vary by role and are discussed during the general interview.