Senior Algorithms Engineer (100% remote)

🏢 Summary: Remote Senior Security DevOps Engineer role in a fintech company building a high-traffic digital trading and investment platform. The position focuses on securing cloud infrastructure, Kubernetes environments, and CI/CD pipelines while implementing strong IAM, network security, and Security as Code practices. This is a full-time B2B contract role with a competitive monthly salary. 🗂️ Requirements: 8+ years of experience in DevOps, Cloud Security, or Site Reliability Engineering, Experience with high-traffic or regulated environments, Strong knowledge of cloud identity systems and authentication protocols, Advanced knowledge of Kubernetes security and cluster hardening, Hands-on experience with Infrastructure as Code tools, Strong understanding of Linux security mechanisms, Knowledge of networking fundamentals (TCP/IP, DNS, TLS), Experience implementing security automation in CI/CD pipelines 📃 Skills: Kubernetes, Terraform, Ansible, Linux, TCP/IP, DNS, TLS, CI/CD, IAM, RBAC, ABAC, MFA, SSO, OIDC, SAML, PKI, SOC2, ISO27001 🏢 Description: Senior Security DevOps Engineer (100% remote) 💰 Salary: 7000-8000 USD/Month 💻 100% remote 🕦 Full-time ☑️ B2B We’re looking for a Senior Security DevOps Engineer to join a fast-growing fintech company that builds a digital trading and investment platform. Requirements: 8+ years of experience in DevOps, Cloud Security, Site Reliability Engineering, or similar roles. Experience working with high-traffic systems or regulated environments, such as financial platforms or other compliance-driven industries. Strong understanding of cloud identity systems and modern authentication protocols. Advanced knowledge of Kubernetes security, container orchestration, and cluster hardening. Hands-on experience with Infrastructure as Code tools such as Terraform or Ansible. Solid understanding of Linux security mechanisms and networking fundamentals, including TCP/IP, DNS, and TLS. Experience implementing security automation within CI/CD pipelines. Nice to Have: Experience supporting security or financial compliance frameworks (e.g., SOC 2, ISO 27001, or similar). Background in cryptography concepts, including encryption standards or PKI management. Experience with resilience or security testing approaches, such as controlled failure or attack simulations. Key Responsibilities: Design and maintain secure identity and access management (IAM) strategies across cloud infrastructure, Kubernetes clusters, and internal platforms using RBAC and ABAC models. Implement privileged access management solutions to enable secure, temporary access to production environments while eliminating long-lived credentials. Enforce strong authentication and identity policies, including MFA, SSO integrations, and modern identity standards such as OIDC and SAML. Secure containerized environments by implementing Kubernetes security best practices, including network policies, workload isolation, and secure container lifecycle management. Develop and maintain network security architecture, including segmentation strategies, firewall configurations, and protection mechanisms for high-throughput APIs. Manage the lifecycle of secrets and sensitive credentials, ensuring secure storage, rotation, and access control across environments. Integrate security scanning and testing tools into CI/CD pipelines to detect vulnerabilities during development and deployment stages. Integrate security monitoring with observability tools to detect anomalies, threats, or unauthorized access attempts in real time. Promote Security as Code practices by automating security policies, checks, and infrastructure configurations. Get to know DevsData: We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com/

🏢 Summary: Senior AI-first Engineer role focused on building and modernizing full-stack systems using advanced AI-assisted development workflows. The position involves designing scalable architectures, delivering production-grade .NET and React solutions, and orchestrating multiple AI agents for parallel task execution. Work spans distributed systems, cloud environments, and high-quality engineering practices in client-facing projects. 🗂️ Requirements: Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Ability to build custom AI skills and orchestrate multiple AI agents in parallel, Strong prompt engineering with critical evaluation of AI-generated output, Production experience with .NET and C# for REST APIs and middleware, Deep knowledge of OAuth2, OpenIDConnect, and JWT, Strong proficiency in JavaScript and TypeScript, Minimum 2 years production experience with React, Experience with state management, asynchronous patterns, and frontend testing, Experience designing monolith, microservices, and distributed architectures, Knowledge of DDD, CQRS, EventSourcing, and event-driven systems, Experience with message brokers (Kafka, RabbitMQ, AzureServiceBus or similar), Hands-on experience with Docker and knowledge of Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP), Strong knowledge of SQL and ORM tools 📃 Skills: C#, .NET, REST, OAuth2, OpenIDConnect, JWT, JavaScript, TypeScript, React, DDD, CQRS, EventSourcing, Kafka, RabbitMQ, AzureServiceBus, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, SQL, NoSQL, Python, Java, Node.js, Copilot, Claude, Cursor 🏢 Description: We are looking for a Senior AI-first Engineer who combines deep technical expertise with a genuine, hands-on approach to AI-assisted development. You will work across varied client engagements — from modernizing legacy systems to architecting new products — and are expected to contribute at a high level regardless of project context. The ideal candidate has built a real, personalized AI development workflow — including custom skills, reusable prompt templates, and project-level instructions — and continues to refine it. Out-of-the-box tool usage is not sufficient for this role. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research Contribute to architectural decisions — technology selection, system design, and trade-off analysis Conduct thorough code reviews and uphold engineering best practices across the team Identify risks, bottlenecks, and security concerns proactively and propose solutions Work directly with clients in English — requirements clarification, technical discussions, progress updates Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing Stay current with AI tooling developments and contribute findings to the broader team Requirements Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Ability to create custom skills and sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Strong prompt engineering skills; able to produce reliable, high-quality output and critically evaluate AI-generated results Production-grade .NET / C# (REST APIs, middleware, dependency injection) with solid understanding of OAuth 2.0, OpenID Connect, and JWT Deep proficiency in JavaScript and TypeScript 2+ years of hands-on production experience with React (highly preferable) and/or Angular Strong grasp of state management, asynchronous patterns, and frontend testing Confident designing systems across monoliths, microservices, and distributed architectures Working knowledge of DDD, CQRS, Event Sourcing, and event-driven systems, including message brokers (Kafka, RabbitMQ, Azure Service Bus, or similar) Hands-on use of Docker and working knowledge of Kubernetes, along with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) Experience with cloud platforms (Azure, AWS, or GCP) and observability practices (structured logging, distributed tracing, alerting) Solid background with SQL databases and ORMs; familiarity with NoSQL is a plus Additional exposure to Python, Java, or Node.js is highly desirable Clear communication skills in English (B2+), both written and spoken; comfortable in client-facing environments Salary ranges B2B 135 - 195 PLN/ hour EC 17000 - 24000 PLN/ month

🏢 Summary: Full-time, 100% remote Senior Frontend Developer role focused on building and scaling complex, responsive web applications powered by AI-driven platforms. The position involves architecting high-quality front-end solutions, integrating with back-end services, and ensuring performance, scalability, and cross-browser compatibility. The role also includes driving best practices, code quality, and modern front-end standards within the team. 🗂️ Requirements: Strong knowledge of HTML5, CSS3, JavaScript (ES6), Strong understanding of DOM, Experience with React.js, Experience with Material UI, Experience with Responsive Design and cross-browser compatibility, Familiarity with SASS or LESS, Understanding of BEM methodology, Knowledge of CSS-in-JS, Knowledge of browser storage (cookies, localStorage, sessionStorage), Proficiency with npm or yarn, Experience with Jest or equivalent testing frameworks, Understanding of SEO best practices, Familiarity with TypeScript, Knowledge of SSR and service workers, Experience with Webpack, Vite, or Rollup, Understanding of browser extensions integration 📃 Skills: HTML5, CSS3, JavaScript, ES6, DOM, React, MaterialUI, SASS, LESS, BEM, CSS-in-JS, cookies, localStorage, sessionStorage, npm, yarn, Jest, TypeScript, SSR, Webpack, Vite, Rollup, SEO, ServiceWorkers 🏢 Description: Senior Frontend Developer (100% remote) 💰 Salary: 20,000-23,000 PLN/month 🌎 100% Remote 🕦 Full-time position ☑️ B2B or Contract of Employment We are looking for a Senior Frontend Developer for a partner client that helps businesses use artificial intelligence to run more efficiently and grow faster. The company builds and provides digital platforms and consulting services that enable organizations to manage operations, analyze data, and improve performance. Their solutions combine AI, automation, and deep business expertise to help clients simplify workflows, gain insights, and deliver greater value. Requirements: HTML5 , CSS3 , JavaScript (ES6) Strong understanding of the Document Object Model (DOM) Skilled in Responsive Design and cross-browser compatibility Experience with React.js and Material UI Familiarity with CSS preprocessors such as SASS or LESS Understanding of BEM methodology and CSS-in-JS approaches Knowledge of browser storage mechanisms (cookies, localStorage, sessionStorage) Proficient in using package managers (npm/yarn) Experience in unit testing using Jest or equivalent frameworks Understanding of SEO best practices Familiarity with TypeScript for type-safe, large-scale applications Knowledge of server-side rendering (SSR) and service workers Experience with code bundling and modern module bundlers (e.g., Webpack, Vite, Rollup) Understanding of browser extensions and their integration with web applications Responsibilities: Develop and maintain  complex, responsive user interfaces for large-scale web applications. Architect and integrate front-end components with back-end APIs and services , ensuring security, scalability, and performance. Drive the implementation of pixel-perfect UI/UX designs across browsers and devices. Provide technical mentorship to junior developers and guide the team in adopting modern best practices. Conduct code reviews , enforce standards, and maintain a clean, modular codebase. Evaluate and recommend new frameworks, tools, and libraries to enhance productivity. Manage project timelines, estimate development efforts, and collaborate effectively with cross-functional teams. Maintain comprehensive front-end documentation , design patterns, and style guides. Stay updated with industry trends , emerging technologies, and front-end innovations to continuously improve team capabilities. Participate in architectural discussions , ensuring long-term scalability and maintainability of the front-end ecosystem. Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com

🏢 Summary: Senior Full Stack Software Engineer role focused on building and scaling a production-ready AI product, covering feature development, infrastructure, and client integrations. The position involves hands-on work with Python, DevOps/MLOps, and GenAI solutions, ensuring system reliability and production readiness. This is a remote contract role with expected extensions. 🗂️ Requirements: Strong Python development experience, DevOps expertise with CI/CD pipelines, MLOps experience with automated deployment and monitoring, Experience building agentic AI products, Experience with API integrations, Hands-on experience with GenAI/LLM, Ability to harden systems for production, Experience fine-tuning AI models, Experience with prompt engineering 📃 Skills: Python, CI/CD, DevOps, MLOps, GenAI, LLM, APIs, Automation, Deployment, Monitoring, Fine-tuning, Prompt-engineering 🏢 Description: Location : Remote with occasional visits to Łódź Employment type : 2 months initial contract - to be extended, B2B/Umowa Zlecenie Salary: up to 160zł/hour (B2B) Senior Software Engineer – AI Product (Full Stack) We’re looking for a Senior Software Engineer to help build and scale a production-ready AI product. This is a hands-on, full-stack role covering feature development, infrastructure, and client integration. What you’ll do Design, build, and deploy new features in Python Own DevOps/MLOps: CI/CD pipelines, automated model deployment, monitoring Integrate AI solutions into client-facing products Improve system reliability, performance, and production readiness Enhance AI models through fine-tuning and prompt engineering Contribute to short-term R&D initiatives and product innovation Build and evolve internal systems for model evaluation and performance tracking Must-have Strong Python development experience DevOps & MLOps expertise (CI/CD, automation, deployment) Experience building agentic AI products and API integrations Hands-on GenAI/LLM experience (classic ML not required) Proven ability to harden systems for production Nice to have Experience building model evaluation/monitoring systems Fine-tuning, prompt engineering, and performance optimization Details Contract extensions expected If you enjoy building real-world AI products end-to-end—from models to production—we’d love to hear from you.

🏢 Summary: Senior Backend Developer role focused on designing and delivering scalable server-side applications and APIs using Python and Django for early-stage B2B SaaS products. The position involves architectural ownership, system reliability, and performance optimization in a fully remote, full-time setup. The developer will drive backend best practices, testing, and CI/CD processes. 🗂️ Requirements: 5+ years of backend development experience, Extensive experience with Python, Extensive experience with Django, Proficiency in data modelling, Experience with relational databases, Experience with non-relational databases, Ability to write complex SQL queries, Experience with API design, Experience with system integrations, Experience with distributed systems (synchronous and asynchronous), Hands-on experience with Docker, Hands-on experience with Redis, Experience with message brokers, Experience with cron jobs, Experience writing unit tests (e.g. Pytest), Strong understanding of code quality and testing best practices, Good command of English for technical communication 📃 Skills: Python, Django, SQL, Docker, Redis, Pytest, APIs, Databases, PostgreSQL, MongoDB, CI/CD, MessageBroker, Cron, Git 🏢 Description: Senior Backend Developer (Python/Django; 100% remote) 💰 Salary: 23,400-25,500 PLN/month 🌎 100% Remote 🕦 Full-time position ☑️ B2B or Contract of Employment We are looking for a Senior Backend Developer for a partner client with a compelling mission: they act as a product and technology partner for early-stage B2B SaaS founders, helping them navigate the crucial journey from launch to their first million in revenue. They essentially become the dedicated tech backbone for these startups. Requirements: 5+ years of professional backend development experience. Extensive, proven experience with Python and the Django framework. Proficient in data modelling, relational and non-relational databases, and complex SQL queries. Strong experience with API design, integrations, and distributed systems (synchronous & asynchronous communication). Hands-on experience with Docker, Redis, message brokers, and cron jobs. Expertise in writing unit tests (e.g., Pytest) and a commitment to code quality and testing best practices. Great understanding of English with strong communication and collaboration skills. Nice to have: Previous experience in Greentech or Ecotech is a significant plus. Experience as an unofficial tech lead or mentoring junior developers. Knowledge of additional testing methodologies (integration, end-to-end). Responsibilities: Lead the design and development of complex server-side applications, APIs, and databases, taking ownership of architectural decisions. Architect, write, and deliver high-quality, scalable, and efficient code using Python and Django. Collaborate closely with cross-functional teams, including front-end developers and the tech lead, to align backend development with project goals. Architect and implement advanced user authentication, authorisation, and security mechanisms. Conduct performance analysis and optimisation, identifying bottlenecks and implementing solutions. Drive the implementation of automated testing and CI/CD processes to ensure code reliability. Establish and enforce coding standards, conduct thorough code reviews, and document backend architecture and APIs. Take responsibility for system reliability, scalability, and security, ensuring best practices. Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus

🏢 Summary: Senior Software Engineer role focused on building a real-time AI platform, owning features end-to-end across frontend, backend, and cloud infrastructure. The position involves developing full-stack solutions and contributing to technical architecture in a remote-first startup environment. 🗂️ Requirements: Strong experience with TypeScript, Strong experience with React, Hands-on experience with AWS, Experience with Docker, Experience with Linux, Experience with Git, Fluent English 📃 Skills: TypeScript, React, AWS, Docker, Linux, Git, Express, Tailwind, WebSockets, LangChain 🏢 Description: 💰 Salary: 25 000 – 28 000 PLN net/month (B2B) + 26 days paid annual leave + equity (ESOP) 📍 Location: Remote (Poland) + meetup in Poznań once per month Our client is an early-stage startup building a real-time AI platform that supports professionals during live conversations. The system processes interactions in real time and delivers contextual insights, knowledge, and guidance while conversations are happening. The founding team has strong experience in distributed systems, AI platforms, and enterprise SaaS and is currently expanding the engineering team to accelerate product development. Role The client is looking for a Senior Software Engineer who enjoys owning features end-to-end, from frontend interfaces to backend services and cloud infrastructure. You will work closely with the founding team on building a real-time AI-powered product , contributing to both product development and technical architecture. Responsibilities Build full-stack features using TypeScript Develop React-based user interfaces Design and maintain backend services and APIs Work with AWS cloud infrastructure Build and run Docker-based services Improve performance and reliability of real-time systems Requirements Strong experience with TypeScript and React Hands-on experience with AWS Experience with Docker and Linux Comfortable working with Git workflows Fluent English Experience working in remote teams Nice to Have Express Tailwind CSS Experience with real-time systems Knowledge of WebSockets / streaming Experience with LLM frameworks (e.g. LangChain) What the Client Offers Opportunity to build a product from an early stage Direct influence on architecture and product direction Work with experienced founders Remote-first environment Competitive salary + equity High level of ownership and autonomy

🏢 Summary: Oferta dotyczy długoterminowej pracy jako AI Engineer lub Senior AI Engineer przy budowie i skalowaniu rozwiązań opartych o Generative AI, LLM oraz AI Agents. Rola obejmuje projektowanie architektury AI, implementację RAG, rozwój API i pipeline’ów MLOps oraz integrację modeli AI z systemami biznesowymi. Praca odbywa się głównie zdalnie w modelu B2B lub UoP, w niewielkim zespole realizującym projekty produkcyjne. 🗂️ Requirements: Minimum 3 lata doświadczenia komercyjnego jako AI Engineer, ML Engineer lub pokrewna rola, Bardzo dobra znajomość Python, Znajomość LangChain, LangGraph, LlamaIndex lub podobnych frameworków, Doświadczenie z rozwiązaniami RAG, Znajomość baz wektorowych, Umiejętność projektowania i budowy REST API, Doświadczenie z Docker, Doświadczenie z AWS, Azure lub GCP, Znajomość Git, Znajomość dobrych praktyk Software Engineering, Umiejętność pracy w Agile, Język angielski na poziomie minimum B2+/C1- 📃 Skills: Python, LLM, OpenAI, Anthropic, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, RAG, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, PyTorch, HuggingFace, MLflow, Airflow, Redis, PostgreSQL, LlamaIndex, Qdrant, Pinecone, Milvus, Weaviate, ChromaDB, REST, Git, Agile, SemanticKernel, MCP, LoRA, QLoRA, CI/CD, MLOps, vLLM, Ollama, TGI 🏢 Description: W ITLT pomagamy naszym partnerom budować rozwiązania, które jeszcze kilka lat temu wydawały się niemożliwe. Pracujemy z organizacjami rozwijającymi produkty oparte o Generative AI, LLM, AI Agents oraz nowoczesne platformy Machine Learning. Współtworzymy rozwiązania od fazy Proof of Concept, przez produkcyjne wdrożenia, aż po skalowanie środowisk AI obsługujących tysiące użytkowników Aktualnie poszukujemy osób na stanowisko: AI Engineer i Senior AI Engineer Konkrety: Forma współpracy: B2B lub UoP. Jesteśmy w pełni otwarci na Twoją propozycję - wystarczy wpisać odpowiednią kwotę w formularzu aplikacyjnym Miejsce pracy: Zapewniamy dużą swobodę pracy zdalnej, przy czym zapraszamy od czasu do czasu do naszego warszawskiego biura Wymiar pracy: Full-time Zespół: 6-8os. Proces rekrutacji: 1-etapowy (spotkanie zdalne via MS Teams). Sporadycznie możliwe dodatkowe krótkie spotkanie - połączone z decyzją Szacowany czas trwania projektu: Długoterminowy/bezterminowy Tematy na projekcie: Python, LLM (OpenAI, Anthropic, Gemini, Llama), LangChain, LangGraph, CrewAI, AutoGen, RAG, Vector Databases, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, PyTorch, Hugging Face, MLflow, Airflow, Redis, PostgreSQL Do Twoich głównych obowiązków na tym stanowisku należeć będzie: Budowa i rozwój aplikacji opartych o Generative AI Tworzenie agentów AI wspierających procesy biznesowe Projektowanie architektury rozwiązań LLM Implementacja RAG oraz integracja z bazami wektorowymi Fine-tuning i optymalizacja modeli Integracja modeli AI z istniejącymi systemami Budowa API oraz mikroserwisów wspierających rozwiązania AI Rozwój pipeline'ów Machine Learning i MLOps Optymalizacja kosztów oraz wydajności rozwiązań AI Współpraca z zespołami Data Science, Software Engineering oraz Cloud Ta oferta będzie idealna dla Ciebie, jeśli posiadasz: Minimum 3 lata doświadczenia komercyjnego jako AI Engineer, ML Engineer lub pokrewnej roli Bardzo dobrą znajomość Pythona Praktyczną znajomość frameworków takich jak LangChain, LangGraph, LlamaIndex lub podobnych Doświadczenie z rozwiązaniami RAG Znajomość baz wektorowych (Qdrant, Pinecone, Milvus, Weaviate, ChromaDB) Umiejętność projektowania i budowy REST API Doświadczenie z Docker oraz środowiskami Cloud (AWS, Azure lub GCP) Znajomość Git oraz dobrych praktyk Software Engineering Umiejętność pracy w środowisku Agile Język angielski (przynajmniej na poziomie B2+/C1- Mile widziana znajomość: AI Agents (CrewAI, AutoGen, Semantic Kernel) MCP (Model Context Protocol) Fine-tuning modeli Open Source LoRA / QLoRA Hugging Face PyTorch Kubernetes CI/CD MLOps Prompt Engineering Observability dla systemów AI Znajomość inferencji modeli lokalnych (vLLM, Ollama, TGI) Warto do nas dołączyć, ponieważ oferujemy: Dużą swobodę pracy zdalnej Długofalowe stabilne zatrudnienie Szansę na uczestniczenie w kluczowych projektach dla dużej firmy działającej w bardzo stabilnym sektorze Atrakcyjne wynagrodzenie (adekwatne do umiejętności i doświadczenia) Benefity (Lux Med, MultiSport...) W razie pytań pingnij śmiało na Linkedin'ie do Kuby

🏢 Summary: Full-stack Engineer role building and shipping end-to-end features for a health-tech AI product, covering internal clinician tooling and a client-facing app. The position involves integrating diagnostics, wearable and lab data, and leveraging AI coding agents as a core part of the development workflow. Engineers are expected to own architecture decisions, security, and delivery across the full stack in a fast-moving remote environment. 🗂️ Requirements: 4+ years professional software engineering experience, At least two shipped products used by real users, Strong Computer Science fundamentals (data structures, systems, software design), Experience with both backend and frontend development, Daily use of AI coding agents in development workflow, Experience with strict typing, linting, and automated testing, Ability to design and implement secure architectures, Availability during Central European morning hours, Fluent English for technical communication 📃 Skills: Fullstack, Backend, Frontend, APIs, Security, AI, Testing, Linting, Typing, Databases, Wearables, Integration 🏢 Description: 💰 Salary: $5,000-$7,000/month (depending on seniority) 🌎 100% remote 🕦 Full-time position, long-term ☑️ B2B contract We are looking for a Full-stack Engineer to join our client, a Singapore-headquartered health-technology and AI startup focused on longevity and preventative care. The product combines diagnostics, wearable signals, lab data, and AI to coordinate personalised health programmes for individual clients. You will own features end-to-end across two surfaces: internal tooling used by in-house clinicians to assemble recommendations, and the client-facing app that turns those recommendations into daily actions. AI coding agents are part of the daily workflow, and every engineer is expected to push what these tools can do, not treat them as autocomplete. The tech stack is intentionally not fixed; the bar is engineering judgement and shipping speed. Requirements 4+ years of professional software engineering experience, with at least two products shipped to real users Computer Science background, or an equivalent track record that shows the same depth in data structures, systems, and applied software design Strong fundamentals across both server and client work, regardless of which language or framework you used most recently Daily use of AI coding agents in your workflow, with an honest read on where they currently help and where they fail Comfort with strict typing, linting, automated tests, and the rest of a modern production setup Reliable availability during Central European morning hours, so meetings line up with Singapore afternoons Fluent English for technical discussions and written documentation Responsibilities Build and ship features across the full stack, from schema design through to the final UI details Develop the internal dashboards used by medical practitioners to interpret client data and assemble recommendations Develop the client-facing application that delivers daily health guidance to end users Design and tune the security posture separately for internal practitioner tooling and external consumer surfaces Integrate inputs from wearables, lab providers, and the physical clinic environment into one coherent product Push the AI tooling stack hard, both as part of the development process and inside product features Operate as a product-minded engineer: spot problems early, propose solutions, and drive them through to release Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team. We employ people with experience in international corporations as well as the ones from the best technical and business universities. Find out more: https://devsdata.com

🏢 Summary: Full-time remote Senior DevOps Engineer role in a fintech company building a digital trading and investment platform. The position focuses on designing, deploying, and operating highly available cloud infrastructure on Oracle Cloud, automating infrastructure with IaC, and managing CI/CD, containers, monitoring, and security. The engineer will also support production systems, harden environments, and optimize platform reliability and performance. 🗂️ Requirements: 7+ years in DevOps or Cloud Engineering roles, Hands-on experience with Oracle Cloud Infrastructure services, Experience in high-availability production environments, Infrastructure as Code experience with Terraform, Container orchestration experience with Docker and Kubernetes, CI/CD pipeline implementation using GitHub and Jenkins, Secrets management using HashiCorp Vault, Monitoring and logging stack implementation, Experience with SQL and NoSQL databases, Experience with message brokers, Strong Linux administration skills, Networking knowledge including Nginx and WAF, Scripting in Bash and Python, OS hardening and vulnerability patching for Linux and Windows 📃 Skills: OracleCloud, Terraform, Docker, Kubernetes, Helm, GitHub, Jenkins, Vault, Prometheus, Grafana, ELK, Kibana, NewRelic, Datadog, MySQL, PostgreSQL, CockroachDB, MongoDB, Kafka, Redis, Linux, Nginx, Ansible, Git, Bash, Python, Cloudflare, WAF, ActiveDirectory 🏢 Description: 💰 Salary: 7000-8000 USD/Month 💻 100% remote 🕦 Full-time ☑️ B2B We’re looking for a Senior DevOps Engineer to join a fast-growing fintech company that builds a digital trading and investment platform. Requirements: 7+ years of experience in DevOps, Cloud Engineering, or a closely related infrastructure role. Experience working in high-availability, production-grade environments, ideally within fintech, banking, trading, or other regulated industries. Strong hands-on experience with Oracle Cloud Infrastructure, including services such as IDCS, VCN, Compute Instances, OCR, OKE, OSS, DRG, Buckets, DB system, S2S VPN, Load Balancers, Email Delivery, and vulnerability scanning. Hands-on experience with Infrastructure as Code using Terraform and container orchestration with Docker, Docker Compose, Kubernetes, Helm, and Ingress Controllers. Solid experience with CI/CD tooling, including GitHub, Jenkins, and HashiCorp Vault. Experience automating logging, alerting, and monitoring using stacks such as Alert Manager, Prometheus, Grafana, ELK, Kibana, New Relic, and Datadog. Hands-on experience with databases and message brokers, including SQL, MySQL, CockroachDB, MongoDB, Kafka, Redis, and PostgreSQL. Strong Linux and networking knowledge, including Nginx, Ansible, Git, SAML SSO implementation, Bash scripting, Python, Active Directory, WAF, patch management, and Cloudflare. Experience with OS hardening and vulnerability patching for both Linux and Windows servers. Programming and scripting skills in Bash and Python. Nice to Have: Hands-on experience with API6 API Gateway implementation and configuration. Experience with code analytics tooling such as SonarQube. Familiarity with security and vulnerability tools such as Trendmicro Deep Security and Endpoint Security. Exposure to SOC, DLP, and MDM tooling and processes. Exposure to trading system environments. Experience mentoring junior engineers and contributing to operational documentation. Key Responsibilities: Design, deploy, and operate scalable cloud infrastructure on Oracle Cloud, covering compute, networking, storage, databases, and identity services. Own and evolve Infrastructure as Code using Terraform, and manage container orchestration across Docker, Kubernetes, Helm, and Ingress Controllers. Build and maintain CI/CD pipelines across GitHub and Jenkins, and manage secrets via HashiCorp Vault. Implement and automate logging, alerting, and monitoring across Alert Manager, Prometheus, Grafana, ELK, Kibana, New Relic, and Datadog, with health checks integrated into deployments. Configure and maintain databases and message brokers, including MySQL, PostgreSQL, CockroachDB, MongoDB, Kafka, and Redis. Implement and configure the API6 API Gateway, manage WAF rules, and harden network-layer services including Nginx and Cloudflare. Perform OS hardening and vulnerability patching across Linux and Windows servers, and operate endpoint security tooling such as Trendmicro Deep Security. Lead root cause analysis and post-mortems, document operational processes, and contribute to runbooks and performance metrics tracking. Mentor junior engineers, collaborate with development teams on software requirements and test interpretation, and consult with management on operational impact and risk of platform decisions.