Agentic AI Senior Engineer
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Agentic AI Senior Engineer
Location
Athens, Central Athens, Greece
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
ARE YOU READY to step into the **New Era (NewRA)** of **AI-driven banking**?
At **Accenture** **Newra AI Hub**, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives.
You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most.
Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation.
You’ll work at the frontier of human-and-machine delivery, designing and shipping **production-grade LLM and agentic systems for a leading bank**. You prototype fast with AI copilots and vibe-coding workflows, own the full stack, and know when to experiment and when to harden. You work alongside autonomous agents, product teams, and fellow engineers across the entire SDLC, turning frontier model capabilities into measurable business impact.
**What You'll Build**
- LLM and agent apps: LangGraph, LangChain, LlamaIndex, Semantic Kernel — wired into banking systems
- Multi-agent orchestration: planning, reasoning, tool calling, memory, HITL
- Secure agent ecosystems via MCP and A2A
- RAG pipelines with pgvector, Pinecone, Qdrant, Weaviate and hybrid search
- REST APIs and microservices exposing LLM capabilities to downstream integrations
- Guardrails and eval frameworks (RAGAS, LLM-as-judge) for safe, accurate outputs
- Domain fine-tuning for compliance, loan origination, and customer insights
- Intelligent doc processing, conversational assistants, automated reporting
**What We Need**- B.Sc. M.Sc. (or PhD) in CS, Engineering, or equivalent experience
- Strong Python (FastAPI / Django); Java or Node.js a plus
- Hands-on with LLM apps and agentic systems (RAG, multi-agent, GenAI automation)
- Deep grasp of agentic concepts: tool use, planning, reasoning, memory, HITL
- Anthropic and Azure OpenAI SDKs; prompt engineering (few-shot, CoT, structured outputs)
- LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or Anthropic Managed Agents
- Docker, Kubernetes, CI/CD (GitHub Actions / GitLab CI)
- Comfortable validating and improving AI-generated code using AI copilots
*Nice to have:*- MCP and A2A hands-on; Azure AI Foundry deployments
- Observability: LangSmith, Langfuse, W&B, MLflow; fine-tuning: LoRA, PEFT
- GraphRAG; reliability patterns for agentic systems; regulated environments
**What's In It For You**- Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts
- Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
- Career coaching and mentorship to help you manage your career and develop professionally
- Ongoing strength and skill-based evaluation process
- Various opportunities to develop your career across a spectrum of clients, industries and projects
- Diverse and inclusive culture
- Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
- Under our Brain Regain initiative, extra relocation benefits may apply
To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.
Key Responsibilities
- Design and ship production-grade LLM and agentic systems for banking operations
- Develop multi-agent orchestration including planning, reasoning, tool calling, and memory management
- Build secure agent ecosystems using MCP and A2A protocols
- Implement RAG pipelines with vector databases and hybrid search
- Create REST APIs and microservices to expose LLM capabilities
- Develop guardrails and evaluation frameworks for safe AI outputs
- Perform domain fine-tuning for compliance and customer insights
- Build intelligent document processing and conversational assistants
Requirements
- B.Sc. in Computer Science
- Engineering
- or equivalent experience
- M.Sc. in Computer Science
- Engineering
- or equivalent experience
- PhD in Computer Science
- Engineering
- or equivalent experience
Skills Required
PythonFastAPIDjangoJavaNode.jsLLM applicationsAgentic systemsRAGMulti-agent systemsGenAI automationTool usePlanningReasoningMemoryHITLAnthropic SDKAzure OpenAI SDKPrompt engineeringLangChainLangGraphLlamaIndexAutoGenCrewAIAnthropic Managed AgentsDockerKubernetesCI/CDGitHub ActionsGitLab CIAI copilotsCollaborationProblem solvingDisciplinePurpose-driven mindsetMCPA2AAzure AI FoundryLangSmithLangfuseW&BMLflowLoRAPEFTGraphRAG
Benefits
- Competitive salary
- Life/health insurance
- Performance based bonuses
- Monthly vouchers
- Company car
- Flexible work arrangements
- Employee share purchase plan
- Parental leave
- Corporate discounts
- Continuous training & development
- Career coaching and mentorship
- Diverse and inclusive culture
- Corporate citizenship initiatives
- Relocation benefits
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