About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Our Partner 

Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.

Role Overview

We are looking for a proactive and experienced Fullstack Java Developer to help migrate existing Node.js backend services to a robust Java-based architecture. This role is ideal for someone with a strong backend focus on Java, while also being comfortable working across the stack with modern frontend technologies like React or Angular. You will be responsible for designing, implementing, and maintaining scalable solutions, collaborating with cross-functional teams, and ensuring seamless integration across systems. You will be part of the Infra team within the Infra & Orch Group, which focuses on developing tools and processes for installing, configuring, and managing our Partner’s products. The Infra team is responsible for both in-house applications that support product infrastructure (such as user management, authentication integrations, and system configurations) as well as third-party open-source solutions, including databases (MongoDB, Vertica), monitoring tools (Prometheus, EFK), and other technologies like Kafka and MinIO. 

Responsibilities 

• Migrate backend components from Node.js to Java, using frameworks such as Spring and Hibernate. 
• Design and implement scalable, maintainable backend services and APIs. 
• Design data models and queries with Spring Data, optimizing for performance and scalability. 
• Work with NoSQL databases (e.g., MongoDB, Couchbase). 
• Services with Apache Kafka for message streaming. 
• Maintain and improve existing frontend components using HTML, CSS, JavaScript, and modern frameworks like React or Angular. 
• Collaborate with the product owner, architect, frontend developers, DevOps, and other team members on end-to-end product delivery. 
• Take end-to-end responsibility for backend features – from requirements gathering to production support. 
• Identify bottlenecks, bugs, and devise elegant solutions to mitigate and address them. 
• Implement best practices for code quality, testing, and performance optimization. 
• Write unit and integration tests for critical components. 
• Participate in code reviews and technical design discussions. 
• Deploy and manage microservices in containerized environments using Docker and Kubernetes. 

Requirements 

Must Have: 

• Bachelor’s degree or Master’s degree in Computer Science or Computer Engineering. 
• 5+ years overall Java developer experience.  
• Experience working with frameworks such as Spring, Hibernate, REST API. 
• Experience with NoSQL databases like MongoDB or Couchbase. 
• Strong understanding of JavaScript (ES6+) and asynchronous programming. 
• Experience implementing OAuth2, JWT and SSO mechanism. 
• Experience with authentication, authorization protocols and API security practices. 
• Familiarity with Git and version control workflows. 
• Basic understanding of Docker, Kubernetes, Helm and microservices. 
• Good understanding of software development principles and lifecycles. 
• Knowledge of CI/CD pipelines (e.g., Git, Jenkins). 
• Experience in NodeJs. 
• Fluent English. 
• Strong analytical and problem-solving skills. 
• Highly independent and self-motivated. 
• Good communication skills and the ability to work closely with frontend teams. 
• Proactive communicator, comfortable raising concerns and proposing improvements. 

Nice to Have: 

• Experience with TypeScript in Node.js applications. 
• Comfortable with frontend technologies like React, Angular (React preferred). 
• Familiar working with Vertica DB or other relational databases. 
• Familiarity with 3rd party tools (Grafana, Prometheus, ELK). 
• Understanding of message queues (e.g., Kafka, RabbitMQ). 
• Familiarity with Swagger or similar tools for API documentation. 
• Familiarity with Elasticsearch for search capabilities and log analytics. 

Reasons to Work with Us 

• Competitive financial conditions. 
• Opportunity to work on internationally recognized projects. 
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance. 
• An exciting career path within a friendly, dynamic, and growing organization. 
• Professional development opportunities in a multicultural environment. 
• Private medical coverage with Medlife or Regina Maria. 
• Meal vouchers. 
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth. 
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office. 
• Team-building events and other social experiences. 
• Budget allocated for certifications relevant to your project. 
• Workshops, internal training sessions, and knowledge-sharing opportunities. 
• Convenient city-center office location. 
• Shared parking spaces. 

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients. 

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is the German Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the contact center workforce with AI. The future of work is here, and it's at Cresta.

About the role:

The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact center agents access the right knowledge at the right time. Our projects include real-time generative assistance (GenKA), knowledge search (KS), retrieval-augmented generation (RAG) capabilities, and knowledge connectors to integrate with customer systems.

We are looking for a software engineer who enjoys working across the stack and thrives in a dynamic, fast-paced environment. While this role leans toward backend development, a full stack skill set is highly valued.

Responsibilities:

• Build scalable, reliable backend services that power real-time AI assistance and search.
• Design APIs and data flows to support integrations with knowledge bases and customer systems.
• Work across the stack when needed, including backend, frontend, and infrastructure layers.
• Collaborate closely with product managers, machine learning engineers, and fellow software engineers.
• Take ownership of projects end-to-end, from design through implementation and operation in production.
• Contribute to technical discussions, architecture reviews, and continuous improvement efforts.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering roles.
• Strong backend development skills, preferably with Python, Go, Node.js, or similar languages.
• Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC).
• Familiarity with frontend development (e.g., React or similar frameworks) is a plus.
• Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents).
• Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure).
• Clear communication skills and a collaborative working style.

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.