Senior Agentic Automation Engineer

Quick Facts

• Role: Senior Agentic Automation Engineer

• Focus: Intelligent multi-agent systems and end-to-end agentic automation

Description

Lead the design, development, and deployment of intelligent multi-agent systems that combine reasoning, decision-making, and autonomous execution. Own the full lifecycle of agentic solutions—covering secure and auditable pipelines, advanced context and memory, custom RAG/retrievers, tool orchestration, and production observability. Enable other teams through reusable templates, documentation, and guidance.

Responsibilities

• Lead design and deployment of end-to-end agentic systems for reasoning, decision-making, and autonomous execution

• Design 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/forgetting strategies)

• Develop custom RAG and vector-based retrievers optimized for relevance, latency/throughput, and semantic search (dense embeddings, hybrid search, re-ranking)

• Orchestrate tools via MCP using transport layers (HTTP, WebSocket, gRPC) and authentication (OAuth, token-based auth)

• Script in JavaScript and/or Python to extend functionality or preprocess data

• Architect secure, auditable pipelines with encryption, access control, PII sanitization, and traceability

• Work with cloud agent frameworks (AWS, GCP, Azure) at an intermediate level

• Implement end-to-end observability using LLM-specific tooling, OpenTelemetry-based tracing, and infrastructure monitoring

• Create reusable workflow templates and documentation so other teams can adopt and run agentic automation

Requirements

• 3+ years of experience in software or automation engineering with end-to-end agentic system design

• Expertise in multi-agent architecture, including design patterns and cross-agent communication

• Proficiency in advanced context and memory techniques (compression, multi-layer memory, retrieval/forgetting, vector stores, RAG pipelines)

• Experience building custom RAG and optimizing retrieval for relevance, latency/throughput, and semantic search

• Deep knowledge of MCP including HTTP/WebSocket/gRPC and OAuth/token-based authentication

• Scripting skills in JavaScript and/or Python

• Competence in secure, auditable pipelines: encryption, access control, PII handling, traceability

• Familiarity with cloud agent frameworks: AWS, GCP, Azure

• Understanding of LLM observability using LLM tooling, OpenTelemetry tracing, and monitoring with cost/performance tracking

• Ability to produce reusable templates and cross-team documentation

• English proficiency at B2 level or higher

Benefits

• Engineering community, friendly team, and enjoyable working environment

• Flexible schedule and opportunity to work remotely within Poland; chance to work abroad up to 60 days annually

• Business-driven relocation opportunities

• Growth opportunities: leadership development, career advising, soft skills, well-being programs

• Certifications (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru; English classes

• Stable income via Employment Contract or B2B; Employee Stock Purchase Plan

• Benefits package (health insurance, multisport, shopping vouchers)

• Strategically located offices with amenities and free snacks

• Referral bonuses and corporate/social/well-being events