{"id":2253777,"url":"https://alion.io/job/nttdata-ai-engineer","title":"AI Engineer","company":{"id":4401319,"name":"NTT DATA Romania","domain":"nttdata.ro","url":"https://alion.io/company/nttdata-ro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Iași, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"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":"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}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-12T11:40:09Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"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.)","description_format":"text","description_chars":4904,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T03:22:23Z"}],"visa":[],"liveness":{"score":73,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.812,"p_room":0.9,"age_days":11,"expected_fill_days":24,"reasons":["conf:3","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/nttdata-ai-engineer","json_url":"https://alion.io/job/nttdata-ai-engineer.json","meta":{"generated_at":"2026-10-12T15:37:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24582,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4401319},"rest":"https://alion.io/mcp/rest/get_company?id=4401319"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnttdata-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnttdata-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnttdata-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nttdata-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnttdata-ai-engineer"}]}