{"id":2672245,"url":"https://alion.io/job/ntt-data-ai-engineer","title":"AI Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sibiu, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google ADK","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JAX","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false},{"name":"Datadog","optional":true},{"name":"Gemini","optional":true},{"name":"Gmail","optional":true},{"name":"Grafana","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"Vertex AI","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T14:04:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who We Are\nBased 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.\nAlso, this role will give you the chance to:\nUse frameworks like Google Agent Development Kit (Google ADK) and LangGraph to build robust, controllable, and observable agentic architectures\nAssist in the design of LLM-powered agents and multi-agent workflows (planning, tool use, orchestration, memory, and human-in-the-loop)\nSo if you are an experienced AI Engineer please join our team to create the next big thing in digital banking.\nWhat You’ll Be Doing\nDesign and build complex agentic systems with multiple interacting agents\nImplement robust orchestration logic (state machines / graphs, retries, fallbacks, escalation to humans)\nImplement RAG pipelines, tool calling, and sophisticated system prompts for optimal reliability, latency, and cost control\nApply core ML concepts to evaluate and improve agent performance, including dataset curation and bias/safety checks\nLead the development of agents using Google ADK and/or LangGraph, leveraging advanced features for orchestration, memory, evaluation, and observability\nIntegrate with supporting libraries and infrastructure (e.g., LangChain/LlamaIndex, vector databases, message queues, monitoring tools) with minimal supervision\nDefine success metrics, build evaluation suites for agents (automatic + human evaluation), and drive continuous improvement\nCurate and maintain comprehensive prompt/test datasets; run regression tests for new model versions and prompt changes\nDeploy and operate AI services in production, establishing CI/CD pipelines, observability, logging, and tracing\nDebug complex failures end-to-end, identifying and document root causes across models, prompts, APIs, tools, and data\nWork closely with product managers and stakeholders to shape requirements, translate them into agent capabilities, and manage expectations\nDocument comprehensive designs, decisions, and runbooks for complex systems\nWhat We’re Looking For\nBachelor’s degree in Computer Science, Engineering, or related field\nAt 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\nStrong proficiency in Python (core language features, packaging, testing, async, type hints)\nVery strong software engineering practices: version control (Git), unit/integration testing, code reviews, CI/CD\nExperience building and consuming REST/gRPC APIs and integrating external tools/services\nUnderstanding of core ML concepts: supervised/unsupervised learning, train/validation/test splits, overfitting, regularization, and common metrics (precision, recall, F1, ROC-AUC, etc.)\nGood understanding of deep learning basics (neural networks, embeddings) and at least one ML/DL framework (e.g., PyTorch, TensorFlow, JAX, scikit-learn)\nDeep practical knowledge of large language models\nTokenization, context windows, temperature, top-p, system vs user prompts\nPrompt engineering patterns (ReAct, chain-of-thought, tool-calling/tool-use)\nFine-tuning / adapters / instruction-tuning, or experience with RAG as an alternative\nExperience building LLM-powered applications end-to-end: from idea → prototype → production\nFamiliarity with safety and reliability considerations: hallucinations, guardrails, content filtering, privacy\nConceptual understanding of modern agentic frameworks and patterns (stateful graphs, multi-agent coordination, human-in-the-loop, memory, and evaluation).\nHands-on experience with at least one of: Google Agent Development Kit (ADK) - building multi-agent workflows, using its orchestration, tools, and evaluation features or LangGraph - designing graph-based, stateful agent workflows with cycles, branches, and durable execution\nCandidates must be able to read, reason about, and extend ADK/LangGraph-based codebases\nDirect production experience with both ADK and LangGraph is a strong plus\nExperience working with vector databases (e.g., Pinecone, Weaviate, pgvector, Chroma) for retrieval-augmented generation\nComfortable with SQL and basic data modeling\nExperience deploying on at least one major cloud platform (GCP, AWS, Azure) and using managed services (e.g., serverless runtimes, container orchestration, secrets management)\nNice-to-Have experience with:\nVertex AI / Gemini or other hosted LLM ecosystems\nRelated frameworks and tools: LangChain, LlamaIndex, semantic search, evaluation frameworks (e.g., RAGAS, custom eval harnesses)\nMonitoring and observability stacks (OpenTelemetry, Prometheus/Grafana/NewRelic, Datadog, etc.)\n\nDocument\n\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. If you suspect any fraudulent activity, please contact us.\nNTT 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.\nNot the job for you? Perhaps you have a friend who would be a perfect fit. Send them this link!\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nMake this the place you grow\nYour 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.\n\nDocument\n\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. 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