Fullstack Developer (Python & React)

🏢 Summary: Senior Python Developer role focused on independently designing and delivering MVP features and Proofs of Concept on top of an existing large-scale SaaS and data connector platform. The position requires full ownership from idea to production, leveraging LLMs and AI tools to accelerate development and validation. It is a fully remote role emphasizing autonomy, fast experimentation, and scalable backend engineering. 🗂️ Requirements: 4+ years commercial experience with Python, Strong backend development experience, Experience building scalable systems, Ability to design and deliver MVPs and PoCs end-to-end, Experience integrating with cloud services, Experience with CI/CD pipelines, Hands-on use of LLMs/AI in development workflows, Ability to make pragmatic architecture decisions, Professional English proficiency 📃 Skills: Python, LLM, AI, SaaS, API, Cloud, CI/CD, React, TypeScript 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a Senior Python Developer who thrives in autonomy and enjoys building things from scratch — someone who prefers ownership over working in large, structured teams. In this role, you’ll independently deliver MVP features and Proofs of Concept end-to-end, building on top of an existing large-scale SaaS and data connector platform. This is not a typical corporate setup — we’re looking for someone with a startup mindset , who moves fast, experiments, and takes full responsibility for what they build. A key part of this role is the practical use of LLMs and AI tools in everyday development — to accelerate prototyping, coding, research, and validation. Responsibilities Independently design and build MVP features and PoCs end-to-end Take full ownership of solutions — from idea to production Validate technical feasibility and make pragmatic architecture decisions Leverage LLMs and AI tools to speed up development and exploration Write clean, maintainable, production-ready Python code Integrate with cloud services and CI/CD pipelines Collaborate with product/design when needed — but stay highly autonomous Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 4+ years of commercial experience with Python Strong backend focus and experience building scalable systems Experience working in startups or small teams — comfortable being a “go-to” person Ability to work independently and take full ownership of projects Hands-on experience using LLMs/AI in development workflows (e.g. prototyping, code generation, research) Product mindset, speed, and pragmatism Basic knowledge of frontend (e.g. React, TypeScript ) is a plus, not required Strong communication skills and proactive attitude Professional level of English Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Senior Software Engineer role focused on designing and delivering new features and PoCs end-to-end on a large-scale SaaS and data platform. The position emphasizes backend development in Python, extending a mature system, and leveraging AI/LLM tools to accelerate development and improve engineering workflows. Fully remote with high ownership and impact on product direction. 🗂️ Requirements: 7+ years of Software Engineering experience, Strong experience with Python, Experience with Django, Experience building large-scale production systems, Experience designing and maintaining REST APIs, Strong understanding of distributed systems, Strong understanding of backend architecture, Daily practical use of AI tools and LLMs in development workflows, Experience with cloud environments, Ability to independently design and deliver end-to-end solutions, Professional English proficiency 📃 Skills: Python, Django, REST, API, SaaS, LLM, AI, Cloud, DistributedSystems, Backend 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a product-driven Senior Software Engineer who thrives in fast-paced environments and enjoys turning ideas into practical, user-focused solutions. In this role, you will independently design and deliver new features and PoC end-to-end on top of an existing large-scale SaaS and data platform. Rather than working in a purely greenfield environment, you will extend and evolve a mature platform with new capabilities, focusing on speed, usability, and real customer value. A key part of this role is the daily use of AI and LLM-based tools to accelerate development workflows, prototyping, research, testing, and delivery. We are looking for someone who not only uses AI tools effectively but also understands how to integrate AI reasoning and automation into modern software engineering practices. Responsibilities Independently design, prototype, and deliver new features and PoCs end-to-end Translate product ideas into scalable and user-focused backend solutions Validate technical feasibility and make pragmatic architectural decisions Use AI tools, coding copilots, and LLM-based workflows to accelerate development, experimentation, and delivery Build and maintain scalable backend services and REST APIs using Python (preferably Django) Collaborate closely with Product, Design, and Engineering teams to shape and refine new features Contribute to engineering quality through code reviews, technical guidance, and knowledge sharing Continuously explore and introduce practical AI-driven workflows that improve engineering productivity and delivery speed Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 7+ years of experience as a Software Engineer Strong experience with Python and preferably Django Experience building and maintaining large-scale production systems and REST APIs Strong understanding of distributed systems and modern backend architecture Demonstrated daily use of AI tools and LLMs in real engineering workflows (e.g. code generation, prototyping, refactoring, testing, documentation, automation) Experience integrating with complex platforms and cloud environments Ability to independently deliver solutions with minimal supervision Strong product mindset and focus on solving real user problems Excellent communication and collaboration skills across Product, Design, and Engineering teams Curiosity, ownership, and passion for learning and experimenting with new technologies Professional level of English Nice to Have Experience mentoring or coaching engineers Experience working with data products and related scalability challenges Experience promoting AI-driven engineering practices and helping teams adopt modern AI workflows Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Senior Backend Engineer role focused on building and scaling backend systems for an AI-driven product that transforms complex government data into actionable insights. The position involves designing data ingestion, processing pipelines, and distributed infrastructure from scratch, with full ownership from architecture to production. You will work closely with a small senior team to deliver scalable, production-ready systems. 🗂️ Requirements: 6+ years of Backend Engineering experience, Experience in JVM ecosystem, Experience in product companies (B2B SaaS preferred), Experience designing and owning backend systems in production, Strong knowledge of system design and scalability, Experience building asynchronous or distributed systems, Ability to make and justify technical decisions, Fluency in English, Valid work authorization in Europe or LATAM 📃 Skills: Kotlin, Java, JVM, SQL, GCP, Messaging, Queues, DistributedSystems, SystemDesign, DataPipelines, LLMs, AI 🏢 Description: About the role We’re looking for a Senior Backend Engineer to join our early team and help build our product from zero to one. You’ll work on a product that helps companies navigate complex government data, from contracts and grants to market signals and turn it into actionable insights using AI. On the backend side, this means working on data ingestion, processing, and the infrastructure that powers search and AI-driven workflows at scale. You’ll collaborate closely with a small, senior team and have real ownership, from shaping solutions to shipping them to production and improving them over time. You might be a fit if you: Must have: 6+ years of experience as a Backend Engineer, preferably in the JVM ecosystem (we use Kotlin on the backend) Experience working in product companies (B2B SaaS preferred) with direct impact on shipped features Experience working in small companies or startups would be a strong advantage Experience designing and owning backend systems in production (from initial design to deployment and ongoing improvements) Strong understanding of system design, including scalability, failure handling, and trade-offs Experience building asynchronous or distributed systems (e.g. messaging, queues, event-driven systems) Ability to make and justify technical decisions, not just implement given solutions Fluency in written and spoken English Nice to have: Experience with large-scale data processing, scraping, or data pipelines Experience working with LLMs / AI-related systems Experience with GCP or similar cloud environments How We Work Build Bridges to Help Customers Win - We pride ourselves on being obsessively customer-centric. Shooting Star Speed - We move with extreme speed. We value momentum, decisiveness, and the ability to accelerate when it matters. Fun Is a Feature - Fun is a Feature means we intentionally design Starbridge to be an energizing place to do hard work. Joy, humor, and camaraderie make great teams faster, sharper, and more resilient. In the Arena - We believe the best ideas come from living close to the work, feeling the friction, hearing the nuance, and experiencing the details firsthand. Benefits include: Competitive salary + early-stage equity Unlimited PTO Regular off-sites (NYC + global locations) Interview Process We move fast — really fast. Getting back to someone today beats tomorrow, and our interview process reflects that mindset. Please keep us posted on your timeline so we can move quickly and speed things up where needed. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will make sure you're a good fit for the role. You will have the opportunity ask questions and learn more about the role as well. We'll then send you a programming challenge that consists of two parts: LeetCode and SQL. Beyond that step, you will enter the main process, which consists of three interviews: System design exercise hands-on. Live coding in Java/Kotlin. Product thinking and past work. All interviews will be conducted via Google Meet. Eligibility to Work in Europe or LATAM: Candidates must hold valid authorization to work in the country where they will be based. At this time, we are unable to offer visa sponsorship or assist with work permit applications.

🏢 Summary: Senior Software Engineer role focused on maintaining and extending a SaaS platform using Scala and Python, with strong emphasis on AI/LLM integrations and backend architecture. The position involves building production-grade backend services, integrating generative AI and transcription tools, and supporting scalable cloud-based systems in an international engineering environment. B2B contract with long-term extension potential. 🗂️ Requirements: 7+ years of backend software engineering experience, Advanced Polish language skills, English at B2/C1 level, Production experience with Scala, Production experience with Python, Ability to maintain dual-language codebases, Knowledge of software architecture, Understanding of clean code principles, Experience with automated testing, Experience with code reviews, Knowledge of version control 📃 Skills: Scala, Python, REST, GenAI, LLM, AWS, Azure, GCP, CI/CD, ElasticSearch, PHP, SaaS, API, Git 🏢 Description: Kim jest H2B Group? Jesteśmy firmą konsultingową, która pomaga klientom w automatyzacji procesów biznesowych przy pomocy AI, a specjalistom IT rozwijać karierę w modelu B2B. Oferujemy projekty z branż takich jak fintech, medtech, edutech czy automatyka przemysłowa. Dzięki ścisłej współpracy wspieramy rozwój naszych klientów poprzez dostarczanie szybkich i mierzalnych efektów, jednocześnie zapewniając specjalistom IT możliwości rozwoju kariery i zdobywania cennego doświadczenia. Dlaczego warto z nami współpracować? ✨ Elastyczność – Wybierasz projekty dopasowane do swoich umiejętności i zainteresowań, z możliwością zmiany w ramach naszej firmy lub grupy Euvic, której jesteśmy częścią. 💡 Przejrzystość – Masz jasne zasady współpracy i pełną transparentność wynagrodzenia oraz warunków. 🚀 Szybkość działania – Dzięki naszej efektywności szybko znajdziesz lub zmienisz projekt, który idealnie odpowiada Twoim kompetencjom. 🌟 Możliwość rozwoju – Pracujesz przy innowacyjnych projektach, rozwijając kluczowe kompetencje i zdobywając cenne doświadczenie. Do projektu naszego klienta poszukujemy osoby na stanowisko Senior Software Engineera (Scala & Python) Join an international engineering team focused on evolving and scaling an established SaaS platform . In this role, you will bridge two ecosystems: maintaining the core infrastructure built in Scala while developing new, advanced features primarily in Python . A key focus of the project is the deployment of cutting-edge AI capabilities , including integrations with external AI/LLM providers, transcription services, and internal machine learning models. Key Responsibilities Hybrid Backend Development: Developing, maintaining, and extending robust backend services using both Scala (existing codebase) and Python (new features). AI & LLM Integrations: Designing and implementing production-ready features driven by Generative AI, integrating external and internal AI platform APIs, LLM providers, and transcription tools. System Architecture: Participating in technical discussions, code reviews, and architectural decisions to ensure system scalability, performance, and security. API & Integration Design: Designing reliable, maintainable REST APIs and seamless integrations between core platform services and external third-party systems. Quality & Automation: Writing clean, well-documented, and thoroughly testable code while supporting modern CI/CD pipelines and automated testing practices. Production Support: Troubleshooting production issues, optimizing performance/costs of AI workloads, and continuously improving platform stability. Requirements Experience: Minimum 7+ years of professional experience in backend software engineering. Languages: Fluent Polish (advanced) AND English at a minimum B2/C1 level (working in an international engineering environment). Technical Ecosystem: Proven production-grade experience with both Scala and Python , along with the ability to navigate and maintain dual-language codebases efficiently. Engineering Practices: Solid understanding of software architecture, clean code principles, automated testing, code reviews, and version control. Nice to Have: GenAI / LLM Experience: Commercial experience integrating LLMs, generative AI APIs, or building workflows around speech-to-text/transcription tools. Cloud & Infrastructure: Hands-on experience with major cloud platforms ( AWS, Azure, or GCP ) and modern CI/CD pipelines. Search & Data: Practical knowledge of ElasticSearch for scalable data querying. Legacy Context: Basic understanding or experience with PHP applications is a plus. SaaS Background: Previous experience building or scaling multi-tenant SaaS products. What We Offer Rate: 100-125 PLN/h Contract Type: B2B Contract. Duration: 6 months with a strong possibility of long-term extension.

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python 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) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but 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. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). 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. 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. 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.

🏢 Summary: Senior Python Engineer role focused on owning backend architecture, leading technical decisions, and delivering scalable high-load systems with AI-powered features such as chatbots and voice-to-text integrations. The position combines hands-on backend development with team leadership, emphasizing architecture, scalability, and production reliability. You will drive backend strategy, mentor engineers, and ensure robust AI/LLM integrations aligned with product goals. 🗂️ Requirements: 5+ years of software development experience, Strong hands-on experience with Python 3 and asynchronous programming, Experience with FastAPI or Django DRF, Experience designing microservices or modular architectures, Strong knowledge of PostgreSQL, Experience with Redis or MongoDB, Experience with vector databases, Experience with pytest and TDD/BDD principles, Experience with Docker and CI/CD pipelines, Experience with Kubernetes, Experience with AWS or GCP or Azure, Knowledge of clean code and SOLID principles, Experience with typing and type checking, Experience with scalability and production monitoring, Experience building GenAI or LLM-powered products 📃 Skills: Python, FastAPI, Django, PostgreSQL, Redis, MongoDB, Qdrant, pytest, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, mypy, Pydantic, LangChain, LlamaIndex, LLaMA, Mistral, Mixtral 🏢 Description: We are looking for Senior Python Engineer to take ownership of backend architecture, technical leadership, code quality, and team development. You will work on complex backend systems, design scalable architectures, and lead a talented engineering team, collaborating closely with business stakeholders to translate requirements into robust technical solutions. You will play a key role in shaping the product roadmap, making strategic architecture decisions, and ensuring that delivery aligns with business goals. A key component of the initiative is the development of internal AI-powered capabilities, including a generic chatbot and voice-to-text features. You will provide technical leadership for AI integrations, ensuring scalable, maintainable, and performant systems. Basic German is a plus, but your expertise in strategy, technical leadership, and hands-on delivery is what matters most. Why Join Us: Lead a high-impact project with real public-sector relevance Take ownership of architecture and system design end-to-end Influence the product roadmap and technical direction Work with a talented, collaborative engineering team Contribute to AI-driven, innovative features with large-scale impact Responsibilities: Own backend architecture and technical decisions for scalable, high-load systems Lead the team in designing, implementing, and maintaining backend services and APIs Guide technical design reviews, code quality, and engineering best practices Balance hands-on development (~40–60%) with leadership and mentoring (~40–60%) Oversee scalability, performance optimization, and reliability of production systems Lead incident response, bug fixing, and production issue resolution Provide technical guidance for AI/LLM-powered features, such as chatbots and voice-to-text integration Collaborate closely with Product, Frontend, and AI/ML teams to translate requirements into technical solutions Drive adoption of observability, monitoring, and testing standards across the team Mentor and support engineers to foster team growth and knowledge sharing Must-Have Skills: 5+ years experience in Software Development Strong product mindset with experience in team organization, task prioritization, and project planning Ability to make and own technical and architectural decisions Strong problem-solving and proactive approach Excellent communication and interpersonal skills for cross-team collaboration Strong analytical and organizational abilities; able to manage dependencies, risks, and cross-team planning Hands-on experience with Python 3, including asynchronous programming Experience with backend frameworks (FastAPI, Django DRF) Experience designing and developing microservices or modular architectures Strong knowledge of relational (PostgreSQL) and NoSQL (Redis, MongoDB) databases Experience with vector storage (e.g., Qdrant) Understanding of testing strategies (pytest, TDD/BDD principles) Familiarity with Docker, CI/CD pipelines, and production deployments Strong experience with Kubernetes and cloud platforms (AWS, GCP, Azure) Knowledge of clean code principles, SOLID, typing (mypy, Pydantic) Experience with scalability, production monitoring, and incident management Experience building GenAI or LLM-powered products Nice-to-Have Skills: Experience with public-sector or government digital transformation projects Familiarity with LangChain, LlamaIndex, or similar tooling Experience with open-source LLMs (LLaMA, Mistral, Mixtral) Experience in high-growth startup environments Knowledge of cost optimization for AI inference and infrastructure Basic German language skills for team onboarding and future customer projects

🏢 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 Software Engineer role focused on building AI-powered web-based reporting applications by transforming existing Power BI solutions into modern, interactive platforms. The position involves backend development, data integration, AI/LLM features, automated reporting workflows, and collaboration with stakeholders in an international team environment. 🗂️ Requirements: 5+ years of professional software development experience, Backend development experience with Python or C#, Experience building AI-powered or Generative AI applications, Experience integrating data from multiple sources, Strong SQL and database knowledge, Experience building reporting or business intelligence solutions, Problem-solving and data-driven mindset, Ability to work independently, Strong communication skills 📃 Skills: Python, C#, SQL, REST, Azure, OpenAI, PowerBI, React, AI, LLM, LangChain, SemanticKernel, Tableau, Looker, Grafana, Angular, Vue, ETL 🏢 Description: About the role We're looking for a Senior Software Engineer to join an exciting project focused on transforming traditional reporting into AI-powered web applications. You'll help redesign existing Power BI reports into custom-built reporting solutions that integrate data from multiple sources, refresh automatically, and provide users with intelligent, interactive insights powered by AI. If you enjoy building modern data-driven applications and working with the latest AI technologies, we'd love to hear from you. What you'll do Design and develop custom web-based reporting applications. Recreate and enhance existing Power BI reports using modern development technologies. Build integrations with multiple data sources and APIs. Develop AI-powered reporting features using Large Language Models (LLMs) and related technologies. Create automated data refresh and reporting workflows. Design interactive filtering, drill-down, and visualization capabilities. Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions. Contribute to architectural decisions and best engineering practices. What we're looking for 5+ years of professional software development experience. Strong experience with modern backend development (Python, C#, or similar). Hands-on experience building AI-powered applications or working with Generative AI technologies. Experience integrating data from multiple sources. Strong SQL and database knowledge. Experience building reporting, dashboarding, or business intelligence solutions (Power BI, Tableau, Looker, Grafana, or similar). We value experience in designing and developing reporting solutions over expertise with any specific reporting tool. Excellent problem-solving skills and a data-driven mindset. Strong communication skills and the ability to work independently. Nice to have Experience with Power BI. Experience with Azure or other cloud platforms. Experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, or similar AI frameworks. Front-end experience (React, Angular, Vue). Experience with data visualization libraries. Knowledge of ETL or data engineering concepts. What you'll get Opportunity to work on an innovative AI-driven reporting platform. Full-time contractor engagement. International team. Start date: ASAP . Technologies (indicative) Python • C# • SQL • REST APIs • Azure • OpenAI • Power BI • React • AI/LLMs • Data Integration