Jobs Data & Analytics

COMPANY
Arcyn is creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what’s wrong.

We’ve just closed the seed round and are building the core technical team. We’re now a team of 4 with a track record of building complex technical products. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

KEY RESPONSIBILITIES

• Design and maintain modular, multi-step ML and LLM workflows for compliance automation, combining classical ML techniques with LLM-based components where appropriate
• Lead the data science and ML work end-to-end: problem framing, data exploration, experimentation, evaluation, and productionization
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline.
• Build cost-optimized batch processing and intelligent API request strategies.
• Translate complex regulations into structured, machine-executable logic.
• Develop and validate automatically generated code to ensure correctness, safety, and performance.
• Collaborate with domain experts to refine logic interpretation and edge case handling.
• Maintain high-quality, well-structured Python codebases with clear separation of concerns.

REQUIREMENTS
Must-have:

• 8+ years of professional experience in data science, ML engineering, or closely related roles
• Strong foundation in ML/DS fundamentals: feature engineering, model selection, evaluation methodology, error analysis, and handling messy real-world data
• Strong Python skills, including experience writing production-grade, modular code.
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar).
• Experience in structured code generation and validation.
• Strong debugging skills and comfort working with complex, evolving systems.

Nice-to-have:

• Experience with compliance automation, technical regulations, or domain-specific rule translation.
• Familiarity with Pydantic models or other type-safe data management frameworks.
• Background in developer tooling or systems requiring high reliability and reproducibility.
• Experience optimizing LLM API usage for both cost and speed.

WHAT WE OFFER

• Full-time remote role aligned with CEST
• B2B set-up via SP account
• Flexible work arrangements and competitive compensation
• Freedom to architect solutions using the best tools for the job
• Collaboration with a multidisciplinary, innovation-driven team
• Opportunity to shape a new AI product from the ground up at an early stage

We are looking for a Senior Data Engineer to work ona  modern data platform project focused on processing and enriching data from multiple external sources to support advanced analytics, ML workflows, and business decision-making.

We’re looking for someone with strong experience in:
• Python
• SQL
• Snowflake
• dbt
• Databricks / PySpark
• ETL/ELT pipelines
• Production-grade data systems
• ML / analytics-related data workflows

It’s a fully remote role within Europe or LATAM, with flexible working hours and long-term collaboration opportunities.

Akvelon works with clients such as Amazon, Reddit, Pinterest, Starbucks, LinkedIn, Intel, and many others, offering strong engineering culture, professional growth, certifications, workshops, and internal learning programs.

Would you be open to a quick chat to discuss the opportunity in more detail?

About us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!
 

Requirements: 

• 5+ years of PostgreSQL, Pg/SQL development experience. 
• Oracle SQL, PL/SQLL development experience will be a big plus. 
• Shredding, changing and understanding older code without the need to know everything about a business process is imperative. 
• Query performance analyzing and tuning. 
• Experience with high loaded OLTP systems. 
• Experience with very large databases. 
• Experience with design, development, and maintenance of reporting and data warehouse databases a plus. 
• Experience with migrating schemas and data from Oracle to other RDBMS a plus. 
• Basic DB administration experience. 
• Familiarity with database design, documentation and coding. 
• Familiarity with programming languages API. 
• Problem solving skills and ability to think algorithmically. 
• Experience with Amazon Redshift, RDS, Aurora is a plus. 

General skills: 

• English (reading/writing/speaking) — min Intermediate level. 
• Experience in working with people. 
• Quick understanding and learning abilities. 
• Ability to work on several tasks in parallel. 

 
Responsibilities: 

• Responsible for designing, coding, and implementing software solutions using modern techniques and programming SQL language. 
• Provides high-level database development assistance in creating specific applications for businesses. 
• Provides general support on information technology to design, develop, execute, and maintain the database application systems, applying several RDBMS. 
• Ensures research and innovation at all levels of the software development process. 
  May participate in multiple projects simultaneously as a senior development team member. 
• Works harmoniously in a cross-functional team comprising managers, supervisors, business analysts, systems personnel, network staff, and other developers in ensuring the delivery of software solutions as planned, within set budget, and timely. 
• Acts as a coach or mentor to junior software developers. 
• Provides excellent customer service by responding to and assisting with help desk calls to resolving issues, including system outages. 

Company offers: 

• Long-term employment. 
• Flexible timetable. 
• Comfortable working conditions. 
• Paid vacation and sick leaves. 
• English lessons, gym. 
• Competitive salary level. 

About us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide. 

Our global team of over 6,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon. 

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey. 

Be part of the future of iGaming with 6,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!   

Requirements: 

• Requires 4 or more years of related experience, maintenance, and administration of PostgreSQL databases.   
• Previous SQL Server and/or Oracle database administration experience is a plus.  
• Strong writing and verbal communication skills.   
• Displays excellent collaborative skills with cross-functional teams.  

Responsibilities:  

• The DBA should have knowledge of some industry standard PostgreSQL databases including creation and implementation of fully functional PostgreSQL database clusters (both in the cloud AWS RDS and on-premises), ability to maintain multiple development, QA, and production PostgreSQL environments with experience in performance tuning.  
• Review existing configurations and installations and provide design decisions for improvements to platform environments.  
• Assist in planning and performing PostgreSQL database upgrades and migrations.  
• Perform production level support and be part of the on call rotation when required.  
• This position will be responsible for supporting new and existing PostgreSQL database systems, both internally and future Cloud managed instances and will contribute in defining best practices in database administration, and introduce innovation with automation.  
• Proficient with the Linux operating systems - Ubuntu, RHEL.  
• Assist in implementing long-term strategic goals for database development in conjunction with end users, managers, clients, and other stakeholders.   
• Perform debugging, tuning, and performance enhancement as well as automation of operational and continuous integration aspect of the PostgreSQL platform.  
• Independently analyzes, solves, and corrects issues in real time, providing problem resolution end-to-end.  

Company offers: 

• Long-term employment; 
• Flexible timetable; 
• Comfortable working conditions; 
• Paid vacation and sick leaves; 
• English lessons, gym; 
• Competitive salary level. 

Job Description

• Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
• 8+ years of professional experience in machine learning, data science, or AI engineering.
• Proven experience as a technical lead or solution architect for ML/AI projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on knowledge of AWS (e.g., Amazon Bedrock, SageMaker) or GCP (e.g., Vertex AI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.

Job Responsibilities

Advanced Recommendation Modeling: Design and deploy recommendation algorithms that account for time-decay, breaking news signals, and short-term user intent, distinguishing them from long-term preference models used in streaming.
Generative AI Integration: Lead the development and integration of Gen AI and LLM-based models to enhance content summarization, semantic search, and personalized news briefings.
Signal Processing: Engineer complex feature sets that weigh recency, topic sensitivity, and contextual relevance (e.g., differentiating between a user following a specific stock ticker vs. a general sector interest).
Model Lifecycle Management: Own the end-to-end lifecycle of ML models, from hypothesis and training to A/B testing, deployment, and monitoring in a high

Integration Engineer (Data & Systems)

Location: Ukraine (remote, US-based company)

About the Role

We’re looking for a strong Integration Engineer / Data Architect hybrid who will own and scale our internal systems ecosystem.

This role sits at the intersection of engineering, data, and business operations. You will design and maintain integrations between our core platforms, ensure data consistency across systems, and build a reliable analytics foundation for decision-making.

If you enjoy connecting systems, automating workflows, and turning messy data into structured insights — this role is for you.

What You’ll DoSystems Integration & Automation

• Design and maintain integrations between HubSpot, Kantata (ERP), ClickUp, Rippling, Slack
• Automate key business workflows (e.g., deal → project → workspace lifecycle)
• Ensure reliable and scalable data synchronization across systems

API & Backend Engineering

• Build custom integrations using Python / Node.js
• Work with REST APIs, webhooks, OAuth
• Handle real-world API challenges: rate limits, retries, async flows
• Deploy solutions in serverless environments (AWS Lambda / GCP)

iPaaS & Workflow Orchestration

• Use tools like Azure Logic Apps / Workato / Celigo
• Decide when to use no-code vs custom solutions
• Build scalable and maintainable integration architecture

Data Modeling & Analytics (Power BI)

• Own the enterprise data model
• Build and maintain Power BI dashboards
• Define key metrics: utilization, margin, backlog, ROI
• Ensure a single source of truth across the company

Reliability & Monitoring

• Implement monitoring, alerting, and failure recovery
• Build self-healing integrations
• Ensure no data loss across pipelines

What This Role Is NOT

• Not IT support / not IAM / not device management
• Not defining business rules — you implement them technically

Requirements

• 4–7+ years in integration / backend / BI / data engineering
• Strong experience with:
  • Power BI (DAX, data modeling)
  • SQL
  • APIs (REST, webhooks, OAuth)
• Experience with Python or Node.js
• Experience with iPaaS tools (Workato, Celigo, Boomi, Azure Logic Apps)
• Ability to communicate with non-technical stakeholders
• Fluency in English (B1-B2 level)

Nice to Have

• Experience with HubSpot / Kantata / Rippling / ClickUp
• Experience in AEC / professional services companies
• Background in finance-related data modeling

What Success Looks Like (First 6 Months)

• Core integrations are live and stable
• HubSpot → ERP automation fully working
• Data pipelines are reliable and monitored
• Power BI becomes the single source of truth

What we offer:

• A modern office with a strong focus on your comfort, along with high-quality hardware and software
• Medical insurance and paid vacation
• Free access to conferences, forums, and courses for professional development
• Team buildings and corporate events
• Compensation for sports activities and English learning
• And many other benefits!

Our main value is people, which is why we create an environment that encourages personal growth, freedom and responsibility, trust, and support in bringing your ideas to life.

About us

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

About the role

At RubyLabs, we’re seeking a senior AI Engineer (Node.js / Next.js / TypeScript) to shape our AI infrastructure and drive production-ready LLM experiences. You’ll work in a modern stack, making data-driven decisions around model performance, reliability, and cost.

You’ll own advanced prompt systems, structured outputs, and complex LLM workflows using LangChain or LlamaIndex. Observability, debugging, and evaluation are core to the role, leveraging Langfuse and AI gateways like OpenRouter to continuously improve model quality and operational efficiency. You’ll take full ownership of key AI features from experimentation to live production.

Key Responsibilities

• Advanced Prompt Engineering: Designing complex, dynamic prompt templates with conditional logic and efficiently reusing information and context within prompts to maximize generation quality and reasoning.
• Structured Outputs & Schemas: Implementing various response schemes (JSON mode, function calling, Zod/JSON schemas) to ensure AI outputs are predictable and ready for seamless integration into application logic.
• Prompt Engineering & Evaluations: Building robust evaluation pipelines and using Langfuse to collect feedback and score the quality of responses in real time.
• Tracing & Debugging: Performing deep debugging of complex LLM chains using Langfuse traces to identify bottlenecks and optimize for cost, latency, and context window usage.
• AI A/B Testing: Running systematic experiments across different models via OpenRouter (e.g., comparing Claude 3.5 Sonnet vs. GPT-4o) and analyzing results based on quantitative metrics.
• Data-Driven Decisions: Making deployment decisions for new prompts or models strictly based on quantitative benchmarks and trace data, rather than intuition.
• Output Scoring & Analysis: Developing scoring systems to analyze the “Problem → Solution” chain and identify root causes of hallucinations or logic errors using Langfuse analytics.
• Model Performance & Fine-Tuning: Regularly re-evaluating model performance as new architectures emerge and performing fine-tuning when necessary to meet specific domain requirements.

Qualifications

• Node.js & Next.js: Deep knowledge of the stack to build reliable services and handle complex LLM-generated data.
• Dynamic Prompting Skills: Proven experience in building prompts where content is highly dependent on input variables and context injection.
• OpenRouter Experience: Experience working with unified APIs, managing rate limits, and selecting the most cost-effective models for specific tasks.
• Langfuse (or similar): Understanding of LLM observability principles — setting up tracing, creating test datasets, and integrating scoring systems.
• Evaluation Methodology: Experience with frameworks like RAGAS or building custom “LLM-as-a-judge” systems.
• Analytical Mindset: Ability to transform raw generation logs into actionable business metrics and technical insights.
• Iterative Mindset: Focus on continuous product improvement through constant feedback loops.

Nice to have

• Fine-Tuning: Practical experience in fine-tuning models for specific domain tasks or JSON compliance.
• RAG Architecture: Understanding how to build and optimize Retrieval-Augmented Generation systems, including indexing, retrieval, and re-ranking.
• Python: Basic knowledge for working with data science scripts or AI evaluation libraries.

Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits

Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process

After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Final Interview (30 minutes)

Life at Ruby Labs

At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.

This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.

Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

What You’ll Do
 

🔹 Analyze marketing campaigns and key performance metrics (CTR, CPA, ROI)
🔹 Work with dashboards and reports to identify trends and insights
🔹 Support optimization of funnels and find growth opportunities
🔹 Prepare reports and translate data into clear business conclusions
🔹 Collaborate with marketing, product, and data teams
🔹 Assist in testing hypotheses (A/B testing, creatives, funnels)

What We Expect

✅ Basic experience with SQL and/or Python
✅ Strong analytical and data-driven mindset
✅ Ability to work with dashboards and interpret data
✅ Understanding of key marketing metrics (CTR, CPC, CPA, etc.)
✅ Proactive attitude and willingness to learn
✅ English level B1–B2+

Will Be a Plus
➕ Experience in iGaming / retention / retargeting
➕ Understanding of tracking links, postbacks, analytics metrics
➕ Experience with A/B testing
➕ Basic knowledge of attribution models (Post-Click / Post-View)

What We Offer

✨ Opportunity to grow in AdTech / Marketing Analytics
✨ Work with real data and performance-driven задачами
✨ Support from experienced team members
✨ Remote work and flexible schedule
✨ Career growth to Middle/Senior roles

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

About the project: We’re looking for a Senior AI Engineer to join a digital transformation initiative at a leading global private equity firm. The project focuses on building AI-driven solutions — including document AI and LLM-based systems — to automate insights extraction from complex financial materials and support investment decision-making, valuation, and due diligence workflows.

About the role: You’ll design and build end-to-end AI systems: LLM pipelines, RAG architectures, and automated evaluation frameworks. Responsibilities include fine-tuning models, designing accuracy and hallucination evaluation metrics, and integrating AI solutions into core business processes. The role combines deep ML/LLM expertise with the ability to translate model outputs into actionable business insights.

Requirements:

Must have:

• Strong Python and ML ecosystem experience (PyTorch / TensorFlow / Hugging Face)
• Ownership of agent-based systems
• Hands-on experience with LLM systems (fine-tuning, evaluation)
• Solid understanding of RAG architectures
• Cloud platforms and Docker

Nice to have:

• Knowledge of finance or private equity domain
• MLOps experience
• Business analytics understanding
• Background in finance, consulting, or technology projects
• Experience with production multi-agent systems

Benefits:

• Paid vacation and sick leave
• Official state holidays — 9-11 public holidays per year
• Professional growth through challenging projects and the opportunity to master new technologies
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support programs (discounts, healthcare, legal assistance)
• Paid external training, conferences, and professional certifications aligned with business goals
• Internal workshops, seminars, and English classes
• Corporate library with paper and e-books

As we continue to grow and evolve, we are expanding our team to support new initiatives and meet the increasing demand for our services. We’re currently looking for a talented and data-driven Web Analyst who can help us make smarter decisions and take our digital performance to the next level.

What We’re Looking For:

• strong hands-on experience with Google Tag Manager (GTM) and Google Analytics
• proven ability to set up, monitor, and interpret A/B tests using third-party platforms
• experience with app analytics tools like Firebase and Appsflyer
• working knowledge of BigQuery (BQ) and comfort working with large data sets
• a proactive attitude and a knack for solving problems before they impact performance

What You’ll Be Doing:

• setting up and maintaining web analytics tools, including Google Tag Manager and Google Analytics;
• planning, executing, and analyzing A/B and multivariate tests using third-party tools;
• supporting existing scripts and analytics setups, troubleshooting issues, and identifying bugs;
• creating custom dashboards and reports using BigQuery and other tools to help stakeholders make informed decisions;
• working with mobile application analytics platforms such as Firebase and Appsflyer.

What We Offer:

• paid vacations and sick leave;
• remote work — flexibility to work from wherever you’re most productive;
• challenging projects — opportunity to work on exciting and high-impact initiatives;
• employee discounts — enjoy special offers and discounts on our floral and gift products.

Mid-Level Data Engineer — AI & HealthTech

About the Role

We are looking for a Mid-Level Data Engineer to help build and scale our in-house AI systems focused on the health and fitness industry. 

You will work closely with Senior ML engineers and backend developers to design data pipelines, optimize large datasets, and support machine learning infrastructure used across our platform.

This role is ideal for someone who enjoys solving data challenges, thinks out of the box, and contributing to AI-driven products that impact real users.

Responsibilities

• Build and maintain scalable ETL/ELT data pipelines
• Structure and optimize large health, fitness, and behavioral datasets
• Support AI/ML workflows and data preparation for model training
• Design efficient database schemas and data architectures
• Work with APIs, third-party integrations, and real-time data processing
• Monitor data quality, integrity, and performance
• Collaborate with engineering and AI teams on internal tooling and automation
• Improve infrastructure for analytics and AI deployment

Requirements

• 2–4+ years of experience as a Data Engineer or similar role
• Strong experience with SQL and relational databases
• Experience with Python for data processing and automation
• Familiarity with cloud platforms such as AWS or Azure
• Experience with data warehousing and pipeline tools
• Understanding of AI/ML data workflows is a strong advantage
• Ability to work independently and solve complex technical problems
• Strong communication and documentation skills

Nice to Have (Not must)

• Experience working with healthcare, medical or fitness-related data
• Knowledge of vector databases, embeddings, or LLM infrastructure
• Experience with Airflow, Kafka, Spark, or similar tools
• Exposure to analytics and BI platforms

What We Offer

• Flexible remote-friendly environment
• High ownership and fast-moving team culture
• Competitive salary with bonuses.
• Long-term growth opportunities.

Location

Remote / Hybrid (Preferred overlap with EU or US time zones)

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.

This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.

Hiring manager: Ori Nahum, AI Innovation Team Lead 

What you’ll be working on

Examples of projects you may work on:

• AI agents for code generation workflows (especially in mobile applications)
• A mobile app navigation agent
• Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
• AI chatbot connected to internal data sources and business systems
• And other new AI-driven solutions that support different departments across the company

You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.

WHAT ARE WE LOOKING FOR?

Must-have

• 5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
• Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
• Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
• Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
• Strong English communication skills

Big advantage

• Experience building internal developer tools or productivity systems
• Background in mobile development, especially native Android or iOS
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
• Familiarity with cloud infrastructure / DevOps / CI-CD
• Good judgment around where AI adds value and where it doesn’t

Who will do well here

You’ll likely do well in this role if you:

• Like building practical systems, not just demos
• Take initiative without waiting for perfect specs
• Enjoy exploring new tools, but know how to separate hype from what’s actually useful
• Want the freedom to research, experiment, and then ship
• Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!