Senior Agentic Automation Engineer

Quick Facts

• Lead the design, development, and deployment of intelligent multi-agent (agentic) automation systems
• Own the full lifecycle: architecture, implementation, security/auditability, observability, and iteration
• Enable other teams via reusable templates and documentation

Description

You will design and deploy end-to-end agentic systems that combine reasoning, decision-making, and autonomous execution. You will build advanced context and memory capabilities, develop custom RAG and vector-based retrievers, and orchestrate tools via MCP with secure authentication. You will also implement secure, auditable pipelines and end-to-end observability to track reliability, performance, and cost.

Responsibilities

• Lead the design and deployment of end-to-end agentic systems combining 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: dynamic context compression, persistent multi-layer memory, retrieval/forgetting strategies, vector stores, and RAG pipelines
• 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, including transport layers (HTTP, WebSocket, gRPC) and authentication (OAuth, token-based auth)
• Script in JavaScript and/or Python to extend functionality or preprocess data
• Create secure, auditable pipelines with encryption, access control, PII sanitization, and traceability
• Work with cloud agent frameworks (AWS, GCP, Azure) at an intermediate level
• Implement LLM-specific observability using OpenTelemetry-based tracing and infrastructure monitoring (reliability, performance, cost)
• Produce reusable workflow templates and documentation so other teams can adopt and run agentic automation
• Own the full lifecycle from design and implementation through observability and iteration

Requirements

• 3+ years of experience in software or automation engineering
• Proven expertise in end-to-end agentic system design covering reasoning, decision-making, and execution
• 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)
• Background in custom RAG and retrieval optimization (relevance, latency/throughput, semantic search with dense embeddings, hybrid search, re-ranking)
• Knowledge of MCP at depth, including HTTP/WebSocket/gRPC and OAuth/token-based authentication
• Scripting skills in JavaScript and/or Python
• 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 tooling, OpenTelemetry, infrastructure monitoring with cost/performance tracking)
• Ability to build reusable templates and produce cross-team documentation
• English fluency at minimum B2 level

Benefits

• Stable income (Employment Contract or B2B)
• Employee Stock Purchase Plan
• Health insurance, multisport, shopping vouchers
• Flexible schedule and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually and relocation support based on business needs
• Career growth: roadmap, leadership development, career advising, soft skills, well-being programs
• Certifications (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
• English classes
• Offices with entertainment and relaxation zones, table tennis/football, free snacks, fantastic coffee
• Referral bonuses
• Corporate, social, and well-being events
• Bonuses may vary by role; discussed during interviews