
Amdaris · Chișinău
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joine...
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94%
in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With
exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across
the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production
operations.
About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two
core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering
multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D
team into production-grade services.
LangChain) and Go where needed.
approach where developers own test creation.
Required Skills & Qualifications
(CrewAI, LangGraph, LangChain, or equivalent).
operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI).
familiarity with AWS.
services
To see more roles, click here.
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. Role Profile The Senior Data Consultant – Azure Data Platform is a senior, client-facing professional responsible for the design, implementation, and optimization of Modern Data Platforms on Microsoft Azure, supporting organizations in their data-driven transformation journey. Acting as a trusted advisor between IT and Business, this role translates business requirements into scalable, secure, and governed data solutions. The consultant operates in complex enterprise environments, contributing to both delivery and presales activities, including assessments, roadmap definition, and solution shaping. The role enables: * End-to-end Data Modernization initiatives * Strong data quality, security, and governance * Advanced analytics & AI use cases Key Responsibilities * Analyze business requirements and translate them into Azure-based data architectures * Design and implement Modern Data Platforms (Lakehouse, Data Warehouse, Streaming) * Develop, optimize, and maintain reliable and high-performing data pipelines * Collaborate with BI, AI, and Application teams on integrated solutions * Support workshops, assessments, PoCs, and presales activities * Mentor junior consultants and support team capability growth Technical Skills – Must Have Azure Data Platform * Azure Databricks * Microsoft Fabric (Lakehouse, Warehouse, Data Engineering) * Azure Data Factory / Synapse Pipelines * Azure Data Lake Storage Gen2 * Azure SQL Database / SQL Managed Instance Data Integration & Modeling * Data modeling * ELT / ETL patterns * Integration from heterogeneous sources (ERP, CRM, APIs) * Structured and semi-structured data management Analytics & Business Intelligence * Power BI (semantic models, dataset optimization) * Row-Level Security (RLS) * Support for Self-Service BI scenarios Security & Performance * Data security, encryption * Monitoring, cost control, and performance tuning Consulting & Soft Skills * Structured problem-solving mindset * Strong communication with technical and business stakeholders * High level of autonomy and ownership * Ability to work in multidisciplinary teams * Results-oriented and customer-focused approach Seniority & Typical Context * 6–10+ years of experience in Data & Analytics * Proven experience in complex enterprise projects * Consulting or System Integrator background * Microsoft Azure certifications preferred (Data certification: Databricks, Fabric DP 700 or generic Data Platform DP 600) Nice to Have Skills Data Governance * Data Governance frameworks (DAMA-DMBOK) * Data Catalog & Metadata Management (e.g., Microsoft Purview) * Data Quality, Lineage, Ownership models * Regulatory and compliance awareness (GDPR, EU AI Act – conceptual level) Machine Learning & AI * Understanding of ML workflows on Azure * Azure Machine Learning (concepts and lifecycle) * Support for predictive and advanced analytics use cases Generative AI * Knowledge of LLM concepts, Prompt Engineering, RAG patterns * Integration of Generative AI with Data Platforms To see more roles, click here.
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. WHAT YOU’LL DO: * Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. * Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. * Prototype and see what works well in the real world, iterate closely with our users, and then ship. * Follow the latest research on LLM prompting, agents, and code editing. * Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. WHO YOU ARE: * You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. * You are passionate about Generative AI and its ability to help software engineers be more productive. * You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. * You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. * You want to work in a fast, high-growth startup environment that respects its engineers and customers. * You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). * You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. * Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. THE OPPORTUNITY The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: * Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies. * Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment. * Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates. * Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced. * Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality. * Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin. ABOUT YOU This role will be a great fit if you: * Strong proficiency in Python for production ready delivery. * You’re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal: * Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers. * Entity/relationship extraction/resolution * Knowledge Graphs; building and inference, graphRAG * Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. * Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) * Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. * Deep understanding of the GenAI landscape and agentic frameworks. * Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! * You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users. * Good knowledge of AWS’s AI infrastructure. BENEFITS We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance * Competitive Salary (our salary bands are benchmarked at the top end of the market) * Equity * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance * Season Ticket Loan & Cycle to Work schemes Time off * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave & flexible working arrangements available Training & Culture * Professional learning and development budget * AI experimentation budget of £800 (UK) per employee to trial AI tools * Quarterly team socials * Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.