Senior Agentic Automation Engineer

Quick Facts

• Role: Senior Agentic Automation Engineer

Description

Lead the design, development, and deployment of intelligent multi-agent systems that perform reasoning, decision-making, and autonomous execution. Own the full lifecycle of agentic solutions, embedding security, auditability, and performance into every design. Enable other teams by providing reusable templates, clear documentation, and thoughtful guidance.

Responsibilities

• Lead 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 capabilities: dynamic context compression, persistent multi-layer memory, retrieval and forgetting strategies, and supporting infrastructure (vector stores, RAG pipelines, structured logs)

• Develop custom RAG and vector-based retrievers optimized for retrieval relevance and latency/throughput, including 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

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

• Work with cloud agent frameworks (AWS, GCP, Azure) to design and operate solutions

• Deliver end-to-end observability using LLM-specific observability tooling, OpenTelemetry-based tracing, and infrastructure monitoring for reliability, performance, and cost

• Create reusable workflow templates and documentation for cross-team adoption

• Own the lifecycle end-to-end: design, implementation, observability, and iteration

• Help others build on your work through 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 communication

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

• Custom RAG and retrieval optimization for relevance, latency/throughput, and semantic search (dense embeddings, hybrid search, re-ranking)

• In-depth MCP knowledge including transport layers (HTTP, WebSocket, gRPC) and authentication (OAuth, token-based auth)

• Scripting skills in JavaScript and/or Python

• Competency in designing secure, auditable pipelines with encryption, access control, PII handling, and traceability

• Intermediate familiarity with cloud agent frameworks (AWS, GCP, Azure)

• Observability practices including LLM tooling, OpenTelemetry, and infrastructure monitoring with cost and performance tracking

• Ability to build reusable templates and produce cross-team documentation that enables broader adoption

• English fluency at B2 level minimum (written and spoken)

Benefits

• Flexible schedule and opportunity to work remotely within Poland

• Opportunity to work abroad for up to 60 days annually

• Business-driven relocation opportunities

• Career roadmap, leadership development, career advising, soft skills, and well-being programs

• Certifications (GCP, Azure, AWS)

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

• English classes

• Stable income (Employment Contract or B2B) and participation in the Employee Stock Purchase Plan

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

• Office locations with entertainment and relaxation zones, free snacks, and fantastic coffee

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