EPAM Systems

Senior Agentic Automation Engineer

Brak informacji o wynagrodzeniu

SeniorZdalnieFull-time

#346963·Dodano 6 miesięcy temu·1

Źródło: EPAM Systems

Aplikuj teraz

Tech Stack / Keywords

Agentic Automation Engineeringmulti-agent architectureRAG pipelinesvector storesMCPJavaScript Python OAuth OpenTelemetrycloud agent frameworks

Firma i stanowisko

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Wymagania

3+ years of experience in software or automation engineering, with proven expertise in end-to-end agentic system design covering reasoning, decision-making, and execution
Expertise in multi-agent architecture, including design patterns, cross-agent communication, and collaboration or critique between agents
Proficiency in advanced context and memory techniques such as compression, multi-layer memory, retrieval/forgetting strategies, vector stores, and RAG pipelines
Background in custom RAG and retrieval optimization focused on relevance, latency, throughput, and semantic search (dense embeddings, hybrid search, re-ranking)
Knowledge of MCP at depth, including transport layers (HTTP, WebSocket, gRPC) and authentication (OAuth, token-based auth)
Skills in scripting with JavaScript and/or Python to extend platforms and preprocess data
Competency in designing secure, auditable pipelines with encryption, access control, PII handling, and traceability
Familiarity with cloud agent frameworks (AWS, GCP, Azure) at an intermediate level
Understanding of observability practices, including LLM-specific tooling, OpenTelemetry, and infrastructure monitoring with cost and performance tracking
Capability to build reusable templates and produce cross-team documentation that enables broader adoption
Fluency in English, both written and spoken, at a minimum B2 level

Obowiązki

Lead design and deployment of end-to-end agentic systems that combine reasoning, decision-making, and autonomous execution
Design multi-agent architectures by applying established agent design patterns and robust cross-agent communication so agents can collaborate or challenge each other to improve outcomes
Build advanced context and memory capabilities, including dynamic context compression, persistent multi-layer memory (short-term, long-term, episodic, shared), retrieval and forgetting strategies, and supporting infrastructure (vector stores, RAG pipelines, structured logs)
Develop custom RAG and vector-based retrievers focused on retrieval relevance, latency/throughput optimization, and advanced semantic search (e.g., dense embeddings, hybrid search, re-ranking)
Orchestrate tools via MCP with a solid grasp of transport layers (HTTP, WebSocket, gRPC) and authentication (OAuth, token-based auth)
Script in at least one language supported by the platform (e.g., JavaScript, Python) to extend functionality or preprocess data
Architect secure, auditable pipelines with encryption, access control, PII sanitization, and traceability so that actions can be reviewed and audited
Work with cloud agent frameworks (e.g., AWS, GCP, Azure) at an intermediate level to design and operate solutions
Integrate end-to-end observability using LLM-specific observability tooling, OpenTelemetry-based tracing, and infrastructure monitoring to track reliability, performance, and cost of agents and their tools
Create reusable workflow templates and documentation so other teams can adopt and run agentic automation
Own the full lifecycle of agentic solutions, from design and implementation to observability and iteration
Enable others through clear documentation, templates, and guidance so the rest of the team can build on your work

Benefity

Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events

Elastyczne godziny

Kursy językowe

Budżet konferencyjny

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Udziały pracownicze

Premie

Darmowe przekąski

EPAM Systems

1770 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz