Who We Are
Based in The Romania Excellence Centre, Bucharest - our client is seeking for experienced professionals who value teamwork, pioneering technology, and innovation. People who want to take their careers to the next level of success. You will be part of a global and diverse team, contribute to all stages of software development lifecycle and lead the implementation, deployment and test of multi-agent systems.
Also, this role will give you the chance to:
• Use frameworks like Google Agent Development Kit (Google ADK) and LangGraph to build robust, controllable, and observable agentic architectures
• Assist in the design of LLM-powered agents and multi-agent workflows (planning, tool use, orchestration, memory, and human-in-the-loop)
So if you are an experienced AI Engineer please join our team to create the next big thing in digital banking.
What You’ll Be Doing
Design and build complex agentic systems with multiple interacting agentsImplement robust orchestration logic (state machines / graphs, retries, fallbacks, escalation to humans)Implement RAG pipelines, tool calling, and sophisticated system prompts for optimal reliability, latency, and cost controlApply core ML concepts to evaluate and improve agent performance, including dataset curation and bias/safety checksLead the development of agents using Google ADK and/or LangGraph, leveraging advanced features for orchestration, memory, evaluation, and observabilityIntegrate with supporting libraries and infrastructure (e.g., LangChain/LlamaIndex, vector databases, message queues, monitoring tools) with minimal supervisionDefine success metrics, build evaluation suites for agents (automatic + human evaluation), and drive continuous improvementCurate and maintain comprehensive prompt/test datasets; run regression tests for new model versions and prompt changesDeploy and operate AI services in production, establishing CI/CD pipelines, observability, logging, and tracingDebug complex failures end-to-end, identifying and document root causes across models, prompts, APIs, tools, and dataWork closely with product managers and stakeholders to shape requirements, translate them into agent capabilities, and manage expectationsDocument comprehensive designs, decisions, and runbooks for complex systems
What We’re Looking For
Bachelor’s degree in Computer Science, Engineering, or related fieldAt least 3 years of experience as Software Engineer / ML Engineer / AI Engineer, with at least 1-2 years working directly with LLMs in real applications
Programming & software engineering:
Strong proficiency in Python (core language features, packaging, testing, async, type hints)Very strong software engineering practices: version control (Git), unit/integration testing, code reviews, CI/CDExperience building and consuming REST/gRPC APIs and integrating external tools/servicesMachine Learning (good understanding):
Understanding of core ML concepts: supervised/unsupervised learning, train/validation/test splits, overfitting, regularization, and common metrics (precision, recall, F1, ROC-AUC, etc.)Good understanding of deep learning basics (neural networks, embeddings) and at least one ML/DL framework (e.g., PyTorch, TensorFlow, JAX, scikit-learn)LLMs & agentic AI (very strong understanding):
Deep practical knowledge of large language modelsTokenization, context windows, temperature, top-p, system vs user promptsPrompt engineering patterns (ReAct, chain-of-thought, tool-calling/tool-use)Fine-tuning / adapters / instruction-tuning, or experience with RAG as an alternative.Experience building LLM-powered applications end-to-end: from idea → prototype → productionFamiliarity with safety and reliability considerations: hallucinations, guardrails, content filtering, privacyAgentic frameworks (required understanding, experience preferred):
Conceptual understanding of modern agentic frameworks and patterns (stateful graphs, multi-agent coordination, human-in-the-loop, memory, and evaluation).Hands-on experience with at least one of:Google Agent Development Kit (ADK) – building multi-agent workflows, using its orchestration, tools, and evaluation featuresLangGraph – designing graph-based, stateful agent workflows with cycles, branches, and durable executionCandidates must be able to read, reason about, and extend ADK/LangGraph-based codebasesDirect production experience with both ADK and LangGraph is a strong plusData & infra:
Experience working with vector databases (e.g., Pinecone, Weaviate, pgvector, Chroma) for retrieval-augmented generationComfortable with SQL and basic data modelingExperience deploying on at least one major cloud platform (GCP, AWS, Azure) and using managed services (e.g., serverless runtimes, container orchestration, secrets management)Nice-to-Have experience with:
Vertex AI / Gemini or other hosted LLM ecosystemsRelated frameworks and tools: LangChain, LlamaIndex, semantic search, evaluation frameworks (e.g., RAGAS, custom eval harnesses)Monitoring and observability stacks (OpenTelemetry, Prometheus/Grafana/NewRelic, Datadog, etc.) Document .style{ width:930px;padding:15px;}.font-text{ font-family: customfaa3f6eee6874329a13ae; font-size: 16px; font-type:ttf; font-style: Medium;}What’s in it for you
✔ New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
✔ Pick your working style: choose from Remote, Hybrid or Office work opportunities
✔ Early bird or night owl? Our projects have different working hours to suit your needs
✔ Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
✔ We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
✔ A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
✔ Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.
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What’s in it for you
\tNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\tPick your working style: choose from Remote, Hybrid or Office work opportunities\tEarly bird or night owl? Our projects have different working hours to suit your needs\tNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\tWe want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you\tA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\tMake the most of our epic parties or themed events – they’re lovingly designed for our people and their families
Your unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
Document .style{ width:930px;padding:15px;}.font-text{ font-family: customfaa3f6eee6874329a13ae; font-size: 16px; font-type:ttf; font-style: Medium;}
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