Senior Software Engineer - AI Data Applications

🏢 Summary: Full Stack Engineer role on an AI Data Application team focused on accelerating ML dataset generation and data search applications to reduce development cycles for pipelines and models. The position involves building next-generation data curation and search tools, collaborating cross-functionally, and mentoring engineers. The goal is to enable scalable, production-ready systems supporting a driverless future. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Extensive experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Strong knowledge of React, Strong experience building REST services, Strong experience building gRPC services, Strong knowledge of AWS (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: - Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. - Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: - Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. - Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For Experience: - BS or MS in Computer Science or related field - 4+ years of professional experience in building web applications - Extensive experience with building web applications for search and data curation needs Technical Skills: - Strong programming skills in Typescript and Python - Strong knowledge of modern frontend technologies such as React - Strong knowledge of building REST and gRPC based services, ideally in Python - Strong knowledge of AWS ecosystem (EKS, Lambda, etc.) and Terraform Bonus Points (not required): - Prior experience in autonomous vehicles (AV) - Prior experience with Bazel based build systems Work Arrangement: We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. Compensation & Benefits: The salary range for this role is $149,000—$198,500 USD. This role may include additional forms of compensation such as a bonus or company equity. Candidates are eligible to participate in a benefits program that includes medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Full Stack Engineer role on an AI Data Application team focused on building next-generation data curation, mining, and search applications to accelerate ML dataset generation and pipeline development. The position involves close collaboration with ML researchers and data teams to deliver scalable web applications and backend services supporting autonomous vehicle initiatives. The role includes mentoring engineers and contributing to cloud-based infrastructure and service architecture. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Experience with React, Experience building REST services, Experience building gRPC services, Experience with AWS (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: - Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. - Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: - Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. - Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For: Experience: - BS or MS in Computer Science or related field - 4+ years of professional experience in building web applications - Extensive experience with building web applications for search and data curation needs Technical Skills: - Strong programming skills in Typescript and Python - Strong knowledge of modern frontend technologies such as React - Strong knowledge of building REST and gRPC based services, ideally in Python - Strong knowledge of AWS ecosystem (EKS, Lambda, etc.) and Terraform Bonus Points (not required): - Prior experience in autonomous vehicles (AV) - Prior experience with Bazel based build systems We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Candidates for certain positions are eligible to participate in the benefits program, which includes medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $149,000—$198,500 USD

🏢 Summary: Senior Full-Stack Engineer role focused on building AI-powered products and internal platforms using Python and modern frontend frameworks. The position involves developing cloud-native systems, contributing to agentic AI initiatives, and delivering secure, production-grade solutions handling sensitive data. You will work in agile teams to create end-to-end features across backend, frontend, cloud, and AI components. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, Minimum 7 years of software development experience, Senior-level experience in large tech environment, Strong backend experience with Python and FastAPI in production, Solid frontend experience with Vue or other modern JavaScript framework, Hands-on experience with AWS, Azure, or GCP, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production, Understanding of agentic AI concepts or architectures, Knowledge of engineering best practices and secure coding 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, AzureAISearch, CrewAI, MicrosoftAgentFramework, AWSAgentCore, A2A, MCP 🏢 Description: We’re looking for a Senior Full‑Stack Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) and modern frontend frameworks, with a preference for Vue, though React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Solid frontend experience with Vue or another modern JavaScript framework. Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Why join You’ll work on real AI products, help shape an evolving agentic ecosystem, and contribute to a modern engineering environment where innovation meets strong security and compliance standards. Your work will directly influence how AI is used across the organization.

🏢 Summary: Senior / Staff Full Stack Engineer role focused on building and scaling an AI-driven product platform in a fully remote setup. The position involves developing React/TypeScript frontend experiences and Python-based backend APIs to support document processing, retrieval systems, and structured AI/ML outputs. The engineer will integrate frontend, backend, and AI workflows into a reliable, testable product experience. 🗂️ Requirements: 5+ years full stack engineering experience, Strong Python backend API development experience, Strong React and TypeScript production experience, Experience with modern API frameworks (e.g. FastAPI), Experience designing and consuming API contracts and structured JSON, Experience with asynchronous workflows and background jobs, Testing experience covering edge cases and API behavior, Understanding of AI/ML product workflows 📃 Skills: Python, React, TypeScript, FastAPI, API, JSON, AI, ML, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior / Staff Full Stack Engineer with strong Python and React experience to build and scale an AI driven product platform in a fully remote setup. The role focuses on frontend experiences, backend APIs, document processing, retrieval systems, and structured AI / ML outputs. ✅ Your responsibilities: Building frontend experiences in React and TypeScript for evidence review, workflow status, recommendations, and decision outputs. Developing backend APIs in Python, ideally with FastAPI, for document upload, asynchronous processing, job status, retries, partial success, and structured results. Connecting frontend, backend, data workflows, retrieval systems, and AI generated outputs into a reliable product experience. Building product features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. Working with structured data, documents, tables, financial metrics, and normalized evidence flows. Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: 5+ years of professional full stack engineering experience. Strong experience with Python and backend API development. Strong experience with React and TypeScript in production applications. Experience with modern API frameworks, ideally FastAPI or similar. Understanding of AI / ML product workflows or strong interest in building software around AI outputs. Experience designing and consuming API contracts, schemas, and structured JSON payloads. Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. Good testing habits, especially around edge cases, failure cases, and API behavior. ⭐ Nice to Have: Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic/Claude. Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: 100% remote work Opportunity to work on modern ML/AI infrastructure Private healthcare and Multisport Life insurance Real influence on technical decisions and architecture Exposure to cutting-edge technologies Collaborative and supportive team environment

🏢 Summary: Senior Fullstack Engineer role focused on delivering full-stack solutions within an AI-integrated SDLC where AI is embedded across planning, development, review, testing, and deployment. The position combines backend and frontend engineering with AI orchestration, automation, and cloud-native architecture in a remote-first setup. The engineer will also evolve shared AI toolchains and contribute to architectural and code quality standards. 🗂️ Requirements: Team-level AI-integrated SDLC experience across planning, development, review, testing, deployment, Shared AI toolchain management under version control, Hands-on use of Claude Code, GitHub Copilot, Cursor or equivalent as team tools, Building and maintaining custom AI skills and sub-agents for team use, Experience with parallel AI agent orchestration, Spec-driven development using OpenAPI, ADRs, PRDs as AI context, AI-assisted code review integrated into PR process, Working knowledge of AI orchestration frameworks, Backend development with .NET / C# and ASP.NET Core, Frontend development with TypeScript and React or Angular, Experience with SQL databases and ORM frameworks, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP) 📃 Skills: C#, .NET, ASP.NET, SQL, SQLServer, PostgreSQL, EFCore, OAuth, JWT, Python, Java, Node.js, TypeScript, JavaScript, React, Angular, LangChain, LlamaIndex, CrewAI, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, OpenAPI, CQRS, DDD, EventSourcing, Microservices 🏢 Description: We are looking for a Senior Fullstack Engineer who combines deep technical expertise with real, team-level experience working in an AI-integrated software development lifecycle. Individual use of AI coding assistants is not sufficient for this role. We are specifically looking for engineers who have worked in teams where AI was embedded into every phase of delivery — from planning and design through development, review, testing, and deployment. 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. AI-First Requirements Experience working in an AI-enabled engineering team is mandatory — not a personal workflow preference. You have been part of a team where AI was systematically embedded across all delivery phases: planning, development, review, testing, and deployment. You can speak from direct experience about how it worked, what failed, and what you would change. Specific mandatory requirements: Team-level AI-integrated SDLC experience — shared toolchain, shared configurations, shared assets under version control Hands-on with Claude Code, GitHub Copilot, Cursor, or equivalent as a team tool, not only personal usage Built and maintained custom skills and sub-agents used across a team, not just personally Experience with parallel agent orchestration for concurrent workstream execution Disciplined plan → review plan → execute approach with AI involved at every phase Maintained shared prompt libraries, skill repositories, or agent configurations in version control AI-assisted code review integrated into the PR process: CodeRabbit, Copilot review, or similar Experience with spec-driven or document-driven development where structured specifications (OpenAPI, ADRs, PRDs) serve as AI context inputs, not just human references Working knowledge of at least one AI orchestration framework: LangChain, LlamaIndex, Microsoft Agent Framework, CrewAI, or equivalent Automation-first mindset: proactively identify repetitive or inefficient parts of current work and automate them using AI and other available tools. Cost-aware AI usage: understanding how AI credits are consumed across different tools, models, and workflows, and ability to choose the most appropriate model or approach for each task. Technical Requirements Backend: .NET / C#, ASP.NET Core, SQL Server / PostgreSQL, EF Core, OAuth 2.0 / JWT. Python, Java, or Node.js is a strong plus. Frontend: TypeScript, JavaScript, React(preferable) and/or Angular, state management, async patterns, frontend testing. Architecture: Full spectrum from monolith to microservices — DDD, CQRS, Event Sourcing, event-driven design, message brokers. Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions / Azure DevOps), Azure / AWS / GCP, structured observability. Responsibilities Deliver full-stack features to a high standard of quality, performance, and reliability Contribute to architectural decisions and system design trade-offs Evolve and maintain the team's shared AI toolchain across all SDLC phases Conduct code reviews including AI-assisted tooling; uphold and enforce engineering best practices Proactively surface risks, bottlenecks, and security concerns Communicate and collaborate directly with clients in English Mentor engineers on both technical fundamentals and AI-augmented workflow practices Professional Qualities Ownership mindset · Strong written and verbal English · Comfortable in client-facing roles · Raises the AI workflow maturity of those around them

🏢 Summary: Remote-first AI-First Fullstack Engineer role focused on building and maintaining full-stack applications while deeply integrating AI tools into the development workflow. The position emphasizes advanced use of AI coding assistants, agent-based workflows, and structured AI planning alongside strong backend and frontend engineering skills. Engineers contribute to architecture, code quality, and continuous improvement of AI-augmented practices. 🗂️ Requirements: 3+ years commercial experience with .NET and C#, Experience building REST APIs, middleware, and authentication flows (OAuth 2.0, OpenID Connect, JWT), Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Understanding of AI agents and sub-agents and their composition, Experience creating or using custom AI skill definitions, Familiarity with AI planning workflows for structured implementation plans, Ability to perform prompt engineering and critically evaluate AI outputs, Experience configuring project-level AI instructions (e.g., copilot-instructions.md, CLAUDE.md), Solid proficiency in JavaScript and TypeScript, Practical experience with React or Angular, Experience with SQL databases and ORMs, Knowledge of CI/CD pipelines, Experience with Docker, Fluent English communication for technical collaboration 📃 Skills: .NET, C#, REST, OAuth2, OpenID, JWT, SQL, ORM, NoSQL, JavaScript, TypeScript, React, Angular, Python, Java, Node.js, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, CI/CD, DDD, CQRS 🏢 Description: We are looking for an AI-First Fullstack Engineer who is actively building a real AI-augmented development practice — not just using autocomplete. You will work across varied client engagements, contribute to meaningful technical decisions, and be expected to grow quickly in an environment that takes AI tooling seriously. This is a role for engineers who are intentional about how they use AI and want to develop that skill alongside their core technical craft. 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 Develop and maintain full-stack features with attention to quality, performance, and reliability Apply AI tools actively throughout your workflow: generation, refactoring, review, testing, and research Participate in architectural and design discussions — contribute ideas, ask good questions, and learn from senior engineers Write clean, reviewable code and actively engage in code reviews Communicate clearly with the team and client stakeholders in English Flag risks, blockers, and technical concerns early Continuously refine your AI workflow and share learnings with the team AI-First Requirements Must have: Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Understanding of agents and sub-agents: what they are, how they are composed, and when to use them Experience with custom skills: creating or using reusable AI skill definitions that extend tool capabilities beyond defaults Familiarity with AI planning workflows: using AI to generate structured implementation plans (e.g. task breakdowns, step-by-step plans stored as files or tickets) before generating code Prompt engineering sufficient to produce reliable, high-quality output; ability to critically evaluate and override AI suggestions when needed Experience building or configuring project-level AI instructions (e.g. copilot-instructions.md , CLAUDE.md , or similar) to shape agent behavior at the repo level Nice to have: Awareness of how AI tools fit into different SDLC phases: requirements analysis, design, implementation, code review, testing, and documentation — not just code generation Practical experience orchestrating multiple AI agents in parallel for concurrent task execution Familiarity with agentic loop patterns: tool use, reflection, iterative self-correction Technical Requirements 3+ years of commercial experience with .NET / C# — REST APIs, middleware, dependency injection, authentication flows: OAuth 2.0, OpenID Connect, JWT SQL databases and ORMs; NoSQL familiarity is a plus Additional experience in Python, Java, or Node.js is a plus Solid proficiency in JavaScript and TypeScript Practical experience with React (preferable) and/or Angular Familiarity with state management, async patterns, and frontend testing basics Comfortable working on both monolithic and service-oriented codebases Awareness of DDD, CQRS concepts (hands-on experience is a plus, not required) Basic familiarity with message-driven or event-driven patterns Docker fundamentals; basic Kubernetes awareness is a plus CI/CD: GitHub Actions, Azure DevOps, or similar Cloud exposure: Azure, AWS, or GCP Basic observability: structured logging, understanding of tracing concepts Salary ranges B2B 110 - 136 PLN/ hour EC 14500 - 17800 PLN/ month

🏢 Summary: Fullstack Engineer role focused on building and integrating AI-powered features using LLMs within modern web applications. The position involves designing scalable APIs, AI workflows, and hybrid solutions combining AI with business logic across frontend and backend systems. You will collaborate cross-functionally to deliver production-ready AI solutions in a cloud environment. 🗂️ Requirements: 5+ years TypeScript and Node.js experience, 2+ years React or Next.js experience, Experience with cloud platforms (preferably GCP), Experience with PostgreSQL, Experience building AI-powered applications using LLMs and APIs, Strong prompt engineering skills, Experience designing AI workflows and orchestration, Understanding of AI limitations and best practices 📃 Skills: TypeScript, Node.js, React, Next.js, GCP, PostgreSQL, LLMs, APIs, Prompting, LangChain, RAG, Embeddings, VectorDB 🏢 Description: Fullstack Engineer - Node/React/Typescript + AI Solutions We are looking for an experienced Fullstack Engineer to build AI-powered solutions and shape how AI is used across modern systems. What you’ll do: Develop AI-driven features using LLMs Integrate AI APIs into backend and frontend applications Design scalable APIs and AI workflows (prompting, orchestration, response handling) Build hybrid solutions combining AI and business logic Collaborate with Data Engineers and other teams Requirements: 5+ years with TypeScript & Node.js (APIs, integrations) 2+ years with React (or Next.js) Experience with cloud (preferably GCP) and PostgreSQL Experience building AI-powered applications (LLMs, APIs) Strong prompt engineering & AI workflow design skills Understanding of AI limitations and best practices Nice to have: RAG, embeddings, vector databases LLM frameworks (e.g. LangChain)

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.

🏢 Summary: The offer is for a Full Stack Engineer responsible for building and scaling production-grade applications and engineering tooling, combining Python backend and modern frontend development. The role focuses on creating robust APIs, orchestration layers, and harness frameworks for testing, automation, and workflow execution in complex AI-driven systems. It involves end-to-end feature delivery and improving system reliability, observability, and developer productivity in a remote B2B setup. 🗂️ Requirements: Strong experience building production systems with Python, Strong experience developing frontend applications with React or Angular, Experience building testing, validation, simulation, or automation tooling, Solid understanding of REST APIs and async service architectures, Experience with PostgreSQL or MySQL databases, Experience working with CI/CD pipelines and Git-based workflows, Ability to design scalable and reliable software systems 📃 Skills: Python, React, Angular, REST, PostgreSQL, MySQL, CI/CD, Git, Docker, APIs, Async, SQL 🏢 Description: Role Description We're looking for a Full Stack Engineer! Anitech Solutions Ltd is a dynamic IT services provider delivering innovative and unique AI technology solutions to businesses across multiple sectors. Alongside our core IT services, we are proud to offer tapybl, our flagship education-focused software product designed to enhance learning and engagement. We are looking for a highly capable Full Stack Engineer with a strong background in harness engineering. In this role, you will move fluidly between building user-facing features and creating the tooling, automation, and orchestration layers required to run complex systems reliably at scale. Responsibilities Build and maintain full stack applications using Python on the backend and React on the frontend. Design and implement APIs, services, and orchestration layers for product workflows and internal tools. Develop harnesses for testing, simulation, validation, execution, and monitoring of complex workflows, agents, or integrations. Create reusable frameworks for workflow execution, automated test runs, sandboxed environments, synthetic data generation, scenario replay, regression validation. Build developer-facing tools to improve engineering velocity, quality, and repeatability. Integrate external services, APIs, and third-party tools into internal platforms. Implement logging, tracing, observability, and error-handling across systems. Collaborate with product, design, and platform stakeholders to turn business needs into scalable technical solutions. Help define engineering standards for reliability, maintainability, and deployment readiness. Required Qualifications Strong hands-on experience building production systems with Python and modern frontend apps with React and/or Angular. Experience building tooling for testing, validation, simulation, automation, or execution environments. Solid understanding of software design, REST APIs, async service architectures, and databases (PostgreSQL/MySQL). Comfortable working across both application code and engineering infrastructure (CI/CD pipelines, Git-based workflows). Ability to move fast and make smart engineering tradeoffs in an autonomous environment. Preferred Qualifications Experience with workflow orchestration, event-driven architectures, or agent-based (AI/LLM) systems. Familiarity with Docker and cloud infrastructure. Background in building internal platforms, developer productivity tools, or QA frameworks. What Success Looks Like You can ship polished frontend and backend features end-to-end. You can build robust harnesses that make systems easier to test, measure, debug, and scale. You improve both product delivery and engineering leverage. You help the team move faster by making complex workflows repeatable and reliable. Working conditions Fully-remote based in Poland B2B

🏢 Summary: Full Stack Engineer role focused on building end-to-end IoT solutions connecting edge devices, cloud services, and user-facing applications. The position involves backend development with Python, frontend work with React, and integration with AWS IoT services including Greengrass. You will contribute to cloud-based, distributed systems handling device communication and time-series data. 🗂️ Requirements: 3–5 years of professional software development experience, Practical experience with Python in backend or systems development, Experience building APIs with FastAPI or similar frameworks, Hands-on experience developing user interfaces with React, Experience with AWS IoT Core and MQTT messaging, Basic to intermediate experience with AWS IoT Greengrass and edge deployments, Experience with InfluxDB for time-series data, Awareness of UDS and J1939 communication protocols, Understanding of distributed systems and cloud-based architectures 📃 Skills: Python, FastAPI, React, AWS, AWSIoTCore, MQTT, Greengrass, InfluxDB, UDS, J1939, REST, Edge, Cloud 🏢 Description: We are looking for a Full Stack Engineer with a strong interest and hands-on experience in AWS IoT and cloud-based systems . You will contribute to building and maintaining end-to-end solutions that connect devices, cloud services, and user-facing applications. In this role, you’ll work closely with senior engineers, product managers, and other teams to design, implement, and improve IoT-driven features, while continuing to develop your skills in edge computing, backend development, and modern frontend technologies. Responsibilities Contribute to the design and implementation of end-to-end features across backend, frontend, and IoT components Develop backend services using Python and FastAPI Support and extend solutions based on AWS IoT Core and MQTT Work with AWS IoT Greengrass to deploy and manage components on edge devices, with guidance from senior team members Build and maintain frontend applications using React Store, query, and visualize time-series data using InfluxDB Collaborate on CI/CD pipelines and follow deployment and automation best practices Requirements 3–5 years of professional experience in software development Practical experience with Python in backend or systems development Hands-on experience building APIs with FastAPI or similar frameworks Experience developing user interfaces with React Familiarity with AWS IoT Core and MQTT-based messaging Basic to intermediate experience with AWS IoT Greengrass , including understanding edge deployment concepts Experience working with or learning InfluxDB for time-series data Awareness of device or vehicle communication protocols such as UDS and J1939 (hands-on experience is a plus) Understanding of distributed systems and cloud-based architectures Ability to work collaboratively in a team and take ownership of assigned tasks Good problem-solving skills and willingness to learn complex systems Nice to Have Familiarity with CI/CD pipelines and infrastructure-as-code concepts Basic knowledge of observability and system monitoring We Offer Opportunity to grow into AWS IoT and edge computing expertise Hands-on experience with real-world connected device systems Mentorship and collaboration with experienced engineers A modern tech stack covering cloud, edge, backend, and frontend Supportive environment focused on learning, quality, and continuous improvement