Sida 1 av 1
DESCRIPTION Sinch Telco is a standalone business within Sinch. Our products propel communications services for mobile operators and enterprises around the globe. We are looking for a Principal Software Engineer with focus on AI-driven Development, to accelerate adoption of AI-powered development practices across Sinch Telco. In this role, you’ll be a hands-on practitioner, leveraging AI agents to design, build and deliver software while shaping how AI is applied in real engineering environments. Together we will move toward a paradigm where software developers manage teams of specialized virtual AI agents for requirements analysis, implementation, testing, documentation, and deployment. We intend to unlock new capabilities that enable teams to build and ship faster with higher quality, security, and maintainability. You see the future of AI-driven development clearly but understand that progress requires practical steps and patience. You demonstrate value through hands-on work and tangible results. You collaborate well with experienced colleagues as a peer and respect existing domain knowledge while contributing new perspectives and influence through quality of work. You are self-directed, proactive, and comfortable operating with ambiguity. The AI tooling landscape changes rapidly and you are energized by this pace. As our Principal Software Engineer, you will: Act as a highly productive, hands-on software engineer using AI agent orchestration to deliver features and products across multiple areas Define, evolve, and scale best practices, workflows, and tooling for AI-assisted development across coding, testing, documentation, and deployment. Evaluate, select, and configure emerging AI development tools and agent frameworks. Create reusable agent configurations, custom instructions, and workflows tailored to the organization's codebases. Partner with engineers, architects, and product managers to define clear requirements and product direction using a product management-informed perspective. REQUIREMENTS 8+ years of software engineering experience with proven ability to design, evaluate, and evolve software architectures. Solid understanding of distributed systems, APIs, and system integration. Experience with telecom systems, BSS/OSS, messaging infrastructure, or CPaaS is a plus. Hands-on experience applying AI-assisted development tools such as Copilot, Cursor, Claude, in real-world software delivery, not just experimentation. Experience working with AI-driven and agent-based development workflows, including autonomous coding agents and multistep task orchestration. Ability to define clear, structured, and decomposable requirements for both engineers and AI agents, with strong product awareness and understanding of the “why” behind solutions. Practical experience with Model Context Protocol, tool-use patterns, or equivalent integration standards for reliable multi-agent/tool orchestration. Experience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph is a plus. Strong communication skills, with the ability to articulate technical concepts, document approaches, and collaborate effectively across teams. Our corporate language is English, please submit your application in English. We are not supporting relocation at this time. Applicants must either hold a Swedish or EU/EEA citizenship or have a valid Swedish work permit. OUR HIRING PROCESS We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us!
Senior AI-arkitekt Konsultroll – LLM, ML och AI-plattform Vi söker en senior AI-arkitekt som vill leda design och införande av AI-lösningar hos våra kunder – från proof-of-concept till skalad produktion. Du är hands-on, rådgivande och van att navigera mellan affärsbehov, modellval, dataflöden, cloud-plattform och styrning. Du tar ledningen i tekniska vägval och har en åsikt om när LLM, klassisk ML eller "ingen AI alls" är rätt svar. I rollen • Designar end-to-end AI-arkitekturer som kopplar samman data, modeller, plattform och verksamhetsprocesser. • Leder tekniska vägval kring LLM-baserade system: RAG, agentiska arbetsflöden, prompt-strategier, evaluering och guardrails. • Vägleder team i frågor om MLOps, modellivscykel, datapipelines, monitorering och kostnadsstyrning. • Översätter affärsmål till skalbara och produktionsdugliga AI-lösningar tillsammans med datavetare, AI-ingenjörer och plattformsteam. • Bidrar till AI-styrning hos kund: ramverk, principer, säkerhet, dataskydd och ansvarsfull AI – inklusive efterlevnad av AI Act och GDPR. • Är teknisk mentor och kompetenshöjare – både i kundleveransen och internt hos oss. Skall-krav • Minst 8 års erfarenhet av lösnings-, system- eller dataarkitektur, varav minst 3 år med AI/ML-system i produktion. • Praktisk erfarenhet av att designa och bygga LLM-baserade lösningar (RAG, agenter, verktygsanrop, evaluering). • God förståelse för hela ML-livscykeln: dataflöden, träning/finjustering, deployment, monitorering och drift (MLOps). • Djup kunskap i minst en stor molnplattform (Azure, AWS eller GCP) och vana att integrera AI i större företagsmiljöer med befintliga system och behörighetsmodeller. • Erfarenhet av att leda tekniska vägval och föra dialog med både utvecklingsteam och beslutsfattare. • Programmeringserfarenhet i Python (eller motsvarande) – tillräcklig för att kunna granska kod och bygga prototyper. • Akademisk examen inom data, teknik, matematik, fysik eller motsvarande – eller likvärdig bakgrund. • Obehindrad svenska och engelska i tal och skrift. Bör-krav • Erfarenhet av AI-plattformar och ramverk som Azure AI Foundry, AWS Bedrock, Databricks, Snowflake Cortex eller Vertex AI. • Erfarenhet av agentiska ramverk (LangGraph, Microsoft Agent Framework, OpenAI Assistants, CrewAI eller liknande). • Erfarenhet av finjustering, modelloptimering eller utvärdering av öppna modeller (Llama, Mistral m.fl.). • Certifieringar inom cloud-arkitektur eller AI/ML (t.ex. Azure AI Engineer/Solutions Architect, AWS ML Specialty, GCP ML Engineer). • Erfarenhet av AI-styrning, säkerhet och dataskydd i AI-pipelines – inklusive ramverk för ansvarsfull AI och EU AI Act. • Erfarenhet av enterprise- eller lösningsarkitektur enligt TOGAF eller motsvarande. • Vana att mentorera och coacha andra arkitekter, utvecklare eller datavetare.
Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/
TL;DR → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands. → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product. A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling. Who you are You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included. You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it. You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity. What you bring Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills. About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.
Do you want to be part of a modern shipping company with a strong brand, entrepreneurial spirit, and ambitious growth plans? At Northern Offshore Services (N-O-S), we are expanding our fleet through an extensive newbuilding program across both the Crew Transfer Vessel (CTV) and Service Operation Vessel (SOV) segments. To support our continued growth, we are looking for a Crew Coordinator to join our Crewing team. We are looking for a proactive, solution-oriented person who wants to play a key role in keeping our fleet operating in a safe, efficient and reliable way. If you thrive in a dynamic environment and enjoy taking ownership, we'd love to hear from you. Our vision, BEST365, and our values are at the heart of everything we do and play a key role in shaping our culture and success. Learn more about who we are and what we stand for at n-o-s.eu/company. YOUR PROFILE To thrive in this role, you need to be flexible and able to work in a structured and detail-oriented manner, as the business is both dynamic and diverse. You are a quick learner who adapts easily and performs well in new and unfamiliar situations. You are proficient in Microsoft Office and fluent in English, both spoken and written. We are looking for someone with an educational background in shipping, HR, or a related field. Previous experience in administrative support, or seagoing roles is considered an advantage. As you will interact with a wide range of people—both internally and externally, including onshore and offshore personnel—it is important that you have strong interpersonal skills and a natural ability to build trust and maintain positive relationships. Since you will work closely with the Crewing Team and colleagues across the office, being a collaborative and supportive team player is essential. REQUIREMENTS Minimum high school education, preferably University degree in Shipping, HR, administration, or other relevant education. Structured and well organized. Good administrative & coordinating skills. Good system knowledge and comfortable learning / using various IT systems - good skills in Microsoft Office. Service minded. Strong interpersonal skills as you have daily contact with customers / employees. Maintains composure in challenging situations Adjusts easily to new situations Resilient in a high past work environment YOUR TASKS Man vessels safely and sufficiently according to internal and external requirements. Ensuring our offshore colleagues hold relevant documents. Plan and execute crew changes. Co-ordinate courses/training for our crew. Recruit new crew members. Keep crewing systems updated with relevant information. Optimize manning up and down of vessels. Cover the duty phone on a rolling schedule. Other general crewing administration such as issuing employment contracts, keep crewing program up to date, etc Code supplier invoices. Contribute to the BEST365 culture by always working based on the company's values
Do you want to be part of a modern shipping company with a strong brand, entrepreneurial spirit, and ambitious growth plans? At Northern Offshore Services (N-O-S), we are expanding our fleet through an extensive newbuilding program across both the Crew Transfer Vessel (CTV) and Service Operation Vessel (SOV) segments. To support our continued growth, we are looking for a Vessel Superintendent to join our Technical team. We are looking for a proactive, solution-oriented person who wants to play a key role in keeping our fleet operating safely, efficiently and reliably. If you thrive in a dynamic environment and enjoy taking ownership, we’d love to hear from you. Our vision, BEST365, and our values are at the heart of everything we do and play a key role in shaping our culture and success. Learn more about who we are and what we stand for at https://n-o-s.eu/company/ YOUR PROFILE You have a practical marine and/or technical background combined with a genuine interest in shipping and vessel operations. While experience is important, we place great value on personal qualities for this role. We are looking for someone who enjoys helping others and delivers a high level of service. You thrive in a fast-paced, entrepreneurial environment where no two days are the same. As a Vessel Superintendent, you will work closely with our vessel crew and other departments. You are proactive, adaptable, and confident in making decisions and solving problems. You stay organised and positive during busy periods and can effectively prioritise your workload. Most importantly, you are a team player who is enthusiastic, flexible, and excited to contribute to a great team atmosphere. It’s considered an advantage if you have: Experience as a Marine Engineer or Master Mariner, preferably on smaller tonnage Experience from technical, mechanical or marine environments. REQUIREMENTS Ability to plan, coordinate and follow up maintenance, repairs and technical projects in a structured and efficient way. Decision-making and problem-solving skills. Interpersonal skills and ability to adapt to different situations. Good knowledge of budget planning and procurement. Ability to work in accordance with company management systems in the daily operations. Good understanding of efficient technical operation, development, and upgrade of vessels. Fluent in English and at least one Scandinavian language; spoken and written. Driver’s license. YOUR TASKS As a Vessel Superintendent, you are responsible for the technical and operational support of assigned vessels within the fleet. You will work closely with the crew in their daily operation, follow up on and monitor short-and long-term maintenance. In this position, you will have the mandate to make purchases of technical supplies and spare parts, work according to our 5-year plan and be responsible for the vessels’ proactive and cost-effective planning. The Vessel Superintendents’ responsibility is also to work within the limits for our annual budget. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Daily technical follow-ups. Ensure that assigned vessels are in good condition and that the crew are adequately supported to maintain the vessel in compliance with applicable rules and regulations. Travelling to assigned vessels and other company offices regularly. Planning and supervising of vessels, shipyards and repairs. Carry out regular technical inspections on board assigned vessels. Responsible for resolving and finalising technical issues for your assigned vessels. Close follow-up on the vessel’s maintenance, ensuring optimal operational efficiency. Coordinate technical support and service personnel when required. Responsible for developing and maintaining the assigned vessels’ Planned Maintenance System. Close cooperation with Crewing, HSSE-Q and Chartering departments. Implementing safety and environmental standards so the vessels can operate safely. Provide technical support outside normal office hours and be prepared to travel on short notice when necessary. TERMS OF EMPLOYMENT Location: Gothenburg (SE). You are welcome to contact recruitment@n-o-s.eu, if you have any questions. Please send your application to: recruitment@n-o-s.eu before 31/8 2026. Mark the application “Vessel Superintendent”. The selection process will start after the summer vacation. ABOUT NORTHERN OFFSHORE SERVICES Northern Offshore Services (N-O-S) is a global leader in providing Crew Transfer Vessels (CTV) serving the offshore wind industry. N-O-S operates and manages a versatile fleet focusing on high-performing vessels, providing full service and flexible solutions. Most of our customers and projects are based in the northern parts of Europe, and our offices are located in Copenhagen, Gothenburg, and Conwy. We offer a dynamic and collaborative work environment where innovation and continuous improvement are part of everyday life. Together, we strive to exceed our customers’ expectations every day of the year. Northern Offshore Services is a part of Northern Offshore Group (N-O-G). The group is driven by entrepreneurship and consists of several well-established companies operating in various segments of the marine industry. The group has a clear vision and values rooted in the strong shipping culture and entrepreneurial spirit of Donsö, an island on the west coast of Sweden.