Senior Agentic Automation Engineer

EPAM Systems; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid by design – remote within Polen

Relocation opportunities

Health insurance

Multisport card

Shopping vouchers

Referral bonuses up to $2,000

English classes

Job summary

EPAM Systems seeks a Senior Agentic Automation Engineer to 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, embedding security, auditability, and performance into every design while enabling other teams through reusable templates, clear documentation, and thoughtful guidance.

The role emphasizes collaboration, advanced RAG/vector tech, cloud frameworks,

Qualifications

• 3+ years of experience in software or automation engineering with agentic system design.
• Expertise in designing multi-agent architectures and cross-agent collaboration.
• Proficiency in memory techniques, vector stores and RAG pipelines.
• Experience with custom RAG and retrieval optimization for semantic search.
• Deep knowledge of MCP, including HTTP, WebSocket, and gRPC, plus auth.
• Skills in JavaScript and/or Python for data preprocessing.
• Capability to design secure, auditable pipelines with encryption and PII handling.
• Familiarity with AWS, GCP, Azure cloud frameworks.
• Knowledge of observability tools, OpenTelemetry, and cost/performance tracking.
• Ability to produce reusable templates and cross-team documentation.
• Fluency in written and spoken English (min B2).

Responsibilities

• Lead design and deployment of end-to-end agentic systems with reasoning, decision-making, and autonomous execution.
• Design multi-agent architectures enabling collaboration or critique among agents.
• Build advanced context and memory capabilities with persistent memory and retrieval strategies.
• Develop custom RAG and vector-based retrievers focusing on relevance and latency.
• Orchestrate tools via MCP with secure authentication and transport layers.
• Script in JavaScript or Python to extend functionality.
• Architect secure, auditable pipelines with encryption and PII handling.
• Work with cloud agent frameworks (AWS, GCP, Azure) at an intermediate level.
• Implement end-to-end observability using OpenTelemetry and monitoring.
• Create reusable templates and documentation for cross-team adoption.
• Own full lifecycle from design to observability and iteration.

Skills

Agentic system design

Multi-agent architecture

Context/memory techniques

RAG pipelines

MCP + transport layers

JavaScript / Python scripting

Secure pipelines

Cloud platforms (AWS/GCP/Azure)

Observability & OpenTelemetry

Documentation templates

English, B2+

Tools

Vector stores

OpenTelemetry

gRPC

OAuth / token-based auth

Job description

We are seeking a Senior Agentic Automation Engineer to lead the design, development, and deployment of intelligent multi-agent systems that combine reasoning, decision-making, and autonomous execution. In this role, you will own the full lifecycle of agentic solutions, embedding security, auditability, and performance into every design while enabling other teams through reusable templates, clear documentation, and thoughtful guidance.

Responsibilities

• 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

Requirements

• 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

We offer

• We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.