Job Closed
This listing is no longer active.
AI Engineer
Location
Romania
Posted
80 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer
NTT DATA Romania
• Design and build complex agentic systems with multiple interacting agents • Implement 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 control • Apply core ML concepts to evaluate and improve agent performance, including dataset curation and bias/safety checks • Lead the development of agents using Google ADK and/or LangGraph, leveraging advanced features for orchestration, memory, evaluation, and observability • Integrate with supporting libraries and infrastructure (e.g., LangChain/LlamaIndex, vector databases, message queues, monitoring tools) with minimal supervision • Define success metrics, build evaluation suites for agents (automatic + human evaluation), and drive continuous improvement • Curate and maintain comprehensive prompt/test datasets; run regression tests for new model versions and prompt changes • Deploy and operate AI services in production, establishing CI/CD pipelines, observability, logging, and tracing • Debug complex failures end-to-end, identifying and document root causes across models, prompts, APIs, tools, and data • Work closely with product managers and stakeholders to shape requirements, translate them into agent capabilities, and manage expectations • Document comprehensive designs, decisions, and runbooks for complex systems
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- At 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/CD
- Experience building and consuming REST/gRPC APIs and integrating external tools/services
- Machine 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 models
- Tokenization, context windows, temperature, top-p, system vs user prompts
- Prompt 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 → production
- Familiarity with safety and reliability considerations: hallucinations, guardrails, content filtering, privacy
- Agentic 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 features
- LangGraph – designing graph-based, stateful agent workflows with cycles, branches, and durable execution
- Candidates must be able to read, reason about, and extend ADK/LangGraph-based codebases
- Direct production experience with both ADK and LangGraph is a strong plus
- Data & infra: Experience working with vector databases (e.g., Pinecone, Weaviate, pgvector, Chroma) for retrieval-augmented generation
- Comfortable with SQL and basic data modeling
- Experience deploying on at least one major cloud platform (GCP, AWS, Azure) and using managed services (e.g., serverless runtimes, container orchestration, secrets management)
Benefits
- 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
Related Guides
Related Job Pages
More AI Engineer Jobs
Data & AI Technical Advisor - Databricks
Atos SEAn international IT services company, Atos SE, also known as Atos Group, embarked on a journey to mold the future of information technology in 1997. Now a globa
About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. NA Data and AI Technical Advisor- Databricks Location: North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory, North America Mission To accelerate client transformation through co-innovated Data and AI solutions by forging strategic partnerships with Databricks and delivering scalable, high-impact architectures that solve real business challenges. Role Overview As a NA Data and AI Technical Advisor – Databricks, you will act as a trusted advisor and thought leader, driving innovation, enabling internal teams, and ensuring seamless integration of Databricks’ advanced Data & AI capabilities into client solutions. You will directly influence Atos’ Data & AI strategy across North America, accelerate market penetration, and drive growth and revenue by shaping go-to-market initiatives, enabling co-sell motions with Databricks, and creating differentiated solutions that win strategic deals. This role requires a blend of technical depth, strategic leadership, and relationship-building skills to work cross-functionally with Alliance, Data & AI Delivery, Pre-Sales, Learning & Development, and Marketing teams. Key Responsibilities Technical Expertise & Certification - Maintain and advance Databricks certifications (e.g., Databricks Certified Data Engineer Professional) - Stay ahead of Databricks product releases, roadmap updates, and partnership programs Sales & Pursuit Alignment - Serve as technical advisor during pre-sales engagements involving Databricks - Tailor solution demos, PoCs, and compelling value stories leveraging Databricks Lakehouse Platform - Ensure compliance with Databricks co-sell requirements and funding programs Internal Enablement & Knowledge Sharing - Support L&D Teams in developing certification and enablement strategy for Databricks technologies within North America - Lead internal workshops, labs, and knowledge-sharing sessions - Maintain solution patterns and accelerators aligned with Databricks architecture Delivery Enablement - Support seamless handoff from pre-sales to delivery teams for Databricks projects - Gather feedback from delivery to refine future implementations - Ensure adherence to Databricks best practices and reference architectures Asset & IP Development - Build and maintain Databricks reference architectures, boilerplates, and templates - Codify repeatable solutions leveraging Databricks in a differentiated way - Collaborate with Marketing and Alliance teams on case studies, white papers, and thought leadership Partnership Engagement - Act as liaison between Atos Data & AI Business Line, Atos Alliances, and Databricks partnership teams - Represent Atos at Databricks events, conferences, and advisory councils Strategic Reporting - Track and report on: - Databricks certifications and enablement status within Atos North America - Databricks-aligned revenue - Use case wins, PoCs, and customer success stories What We’re Looking For - Sense of Agency: Ability to take ownership and drive initiatives independently. - Strategic Leadership: Experience in shaping and executing Databricks-aligned strategies. - Technical Depth: Strong expertise in Databricks Lakehouse Platform and related technologies. - Soft Skills: Exceptional communication and relationship-building skills. - Cross-Functional Collaboration: Proven ability to work across multiple teams and stakeholders. - Detail Orientation: Meticulous approach to solution design and execution. Preferred Qualifications - 8+ years in technical advisory, solution architecture, or similar roles. - Hands-on experience with Databricks Lakehouse Platform, Delta Lake, MLflow, and Spark. - Familiarity with Databricks partner programs, co-sell motions, and funding mechanisms. - Thought leadership demonstrated through blogs, speaking engagements, or community contributions. - Knowledge of integration with other technologies such as SAP, GCP, Azure, AWS, and enterprise data platforms is a strong advantage. Why Join Us? - Be part of a global leader driving AI-powered transformation. - Work at the intersection of innovation and execution, influencing strategic partnerships. - Access continuous learning and career development opportunities. - Contribute to Atos’ commitment to ESG leadership and diversity. Choose your future. Choose Atos.
Senior React Native/ AI Engineer
uSoftwaresmino is a fast‑growing SaaS platform used by architects, planners, and construction companies to manage projects from planning to handover. The product supports seamless communication, documentation, and task management across all stakeholders in a construction project. The platform is collaborative, mobile, and designed to streamline workflows in a traditionally complex industry.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Imagine a bank that actually understands you—one that reads your spending patterns, predicts what you need before you ask, and talks to you like a smart financial friend, not a corporate robot. Mal is building the world's first AI-native Islamic digital bank where every interaction is powered by intelligent conversation, ethical principles, and interfaces that adapt to your life in real-time. Backed by $230M and led by the minds behind Revolut and Nubank, they're launching in 2026 to serve 2 billion Muslims and underbanked communities who've been ignored by traditional finance. - Build high-performance, responsive mobile UIs with React Native and TypeScript for iOS and Android - Design modular component systems and data-rich mobile dashboards optimized for touch interfaces - Integrate AI-driven logic, context persistence, and LLM-powered interactions into native mobile experiences - Collaborate with backend, ML, and product teams to deliver adaptive financial workflows for mobile users - Optimize performance, scalability, and accessibility across iOS and Android devices (battery life, network efficiency, native animations) Qualifications - 5–8 years in mobile engineering, ideally building complex financial or data-rich mobile applications - Strong in React Native (Hooks, Context API, performance optimization, native module integration) - Expert in TypeScript for React Native development - Production experience with iOS and Android deployment (App Store + Google Play) - Fluent in mobile-first UI architecture, responsive layouts, and component design systems - Native platform knowledge (iOS/Android specifics, platform APIs, performance patterns) - Solid grounding in Git, CI/CD for mobile, and automated deployment workflows (Fastlane, CodePush, etc.) Benefits - Direct work with the customer, ownership culture. - 20 working days of vacation and 15 sick leaves (all Ukrainian public holidays included). - Health insurance (after trial). - Fitness membership (after trial). - Company legal and accounting support. - Flexible working hours (no time trackers). - Corporate events.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're seeking an AI Automation Specialist to implement artificial intelligence and automation solutions across multiple businesses within the portfolio. This role requires a consultative and analytical mindset, identifying opportunities where AI can improve efficiency, optimize content, and automate workflows. The ideal candidate is creative, self-driven, and comfortable working independently, with the ability to evaluate business operations and implement AI solutions that generate measurable impact. - Implement AI and automation solutions across multiple business operations and workflows. - Analyze existing processes and identify opportunities for automation and optimization. - Build and deploy AI-powered landing pages to support marketing initiatives. - Use AI tools to optimize content, messaging, and copy across digital channels. - Develop and implement automated workflows to streamline internal processes. - Work closely with leadership to recommend and deploy AI-driven operational improvements. - Continuously test, improve, and scale AI implementations across businesses. Qualifications - Experience implementing AI tools or automation systems within business workflows. - Strong analytical and consultative approach to identifying operational improvements. - Experience with AI-powered content optimization and marketing automation. - Ability to work independently and manage multiple initiatives simultaneously. - Strong problem-solving skills and systems thinking. Benefits - Remote Working for US Company - Exposure to new technology & trend - Competitive Salary
Electrical Engineer & Python Expert - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements; This is an estimate, not a guaranteed workload, and applies only while the project is active. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour* - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

