Acclaim

Role Description We are now expanding our team and are looking for a skilled, goal-oriented backend developer to help us grow. You'll work on services, APIs, databases, and integrations with external systems, collaborating closely with a small, hands-on, technically strong team that moves fast and makes decisions without unnecessary bureaucracy. Qualifications - 6+ years of production experience with Python - At least 2 years of hands-on experience with async Python (FastAPI, aiohttp, or similar frameworks) in production - Ability to debug issues across service boundaries - Comfortable working with partially defined tasks and evolving requirements - Ready to work in a fast-changing, high-uncertainty environment - Open to using AI tools in daily development and troubleshooting - Nice to have: experience with AI Tracing Tools like LangSmith Requirements - Develop and maintain the internal LLM agent framework with focus on scalability, processing, and parallelism - Ensure system observability and reliability using metrics, tracing and monitoring tools - Adapt the framework for specific customer use cases and collaborate closely with ML/NLP teams - Build and support automated LLM evaluation pipelines - Design backend services using Python and modern cloud-native architecture Benefits - The team has built award-winning AI products for tech corporations: devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership: the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression: a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability: real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply - Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)

Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Senior+ level: 4+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail - Proven experience with prompt engineering: writing and iterating prompts for LLMs for real product use cases - Experience designing end-to-end conversational flows for chatbots or AI agents, including: - Intent recognition - Dialogue trees - Fallback handling - Consumer copywriting - Experience with prompt testing / QA and AI Observability tools (LangSmith, etc) - Experience with prompt iterating and evals (prompt engineering + test cases + human-in-the-loop) - Nice to have: - Background in UX Design or UX Research - strong plus! - AI Voice experience - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts - Based on this analysis, design scripts and prompts for AI agents to automate these processes - Create training and test data sets - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply

Role Description We're growing our team and looking for a Senior/Principal QA Engineer to own quality across our AI voice assistant: from prompt and agent behavior testing to mobile, TV, and backend. Qualifications - 5+ years of manual QA experience. - High level of ownership and self-direction. - Experience testing AI agents/assistants. - Experience with AI observability/tracing tools. - Experience with mobile and/or TV-app testing. - Experience testing backends and integrations. - Solid QA fundamentals: test design, documentation, defect handling. - Hands-on experience using AI tools in QA processes. Requirements - Experience testing speech technologies (ASR/TTS) and working with audio. - Building and running AI-assistant quality evaluations. - CI/CD/deployment/test environments experience. - Device testing experience/ADB. - Willingness to move into test automation over time. Responsibilities - Assessing assistant quality: prompt/instruction following, compliance with requirements. - Testing the assistant "under the hood" via observability/tracing tools. - End-to-end manual testing of the assistant in mobile app and devices (TV, speaker). - Testing voice interaction with the assistant, recognition (ASR) and synthesis (TTS) quality. - Testing the assistant's product scenarios. - Testing the platform/backend part the assistant runs on. - Verifying the request's end-to-end path through components. - Maintaining test cases and bug reports. - Close collaboration with the team: TPM, Prompt Engineer, DEV, DevOps, ML. - First-line QA of critical scenarios ahead of demos. Benefits - Award-winning AI products for tech corporations. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI. - High engineering bar and real ownership. - Fast career progression. - Startup pace with enterprise stability. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply.

Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Native Spanish speaker — this role involves designing and writing conversational content entirely in Spanish; native-level fluency is mandatory. - 2–3+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail. - Proven experience writing and iterating prompts for LLMs (GPT, Claude, Gemini, or similar) for real business use cases. - Experience designing end-to-end conversational flows for chatbots or AI agents, including intent mapping, dialogue trees, and fallback handling — experience with RASA is a strong plus. - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios. - Strong written communication skills — you will be writing production-level bot copy and prompt instructions, not just specs. - Python scripting skills are a plus. Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts. - Based on this analysis, design scripts and prompts for AI agents to automate these processes. - Create training and test data sets. - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents. Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment. - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly. - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else. - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply.

Role Description The Country Sales Manager, Uzbekistan owns direct sales execution in the Uzbekistan market for the company's Voice AI product. This is a hands-on role focused on building pipeline, developing a personal network, and closing deals directly with clients in key verticals. Qualifications - 5+ years of experience in direct B2B sales, with a track record of personally sourcing and closing deals - Prior experience selling technology products - ideally AI, voice/conversational AI, SaaS, or similar tech-enabled solutions - Excellent communication and presentation skills in both Uzbek and English - Comfortable working independently and owning the full sales cycle from prospecting to close - Proficiency with modern CRM systems and sales technologies - Strong prioritization and execution skills across multiple concurrent objectives - Bachelor’s degree in business or a related field preferred but not required Requirements - Build and manage a personal pipeline of prospects in target verticals (banking, debt collection, insurance, etc.) - Run the full sales cycle: prospecting, discovery, demo/pitch, negotiation, closing - Meet and exceed individual sales targets and quota - Leverage and expand personal network to generate warm introductions and qualified leads - Stay current on local market dynamics, competitor activity, and regulatory considerations relevant to target industries - Represent the company at local industry events and client meetings - Provide market and customer feedback to the COO and product team - Report on pipeline status, forecasts, and deal progress on a regular basis - Develop deep understanding of the Voice AI product to effectively position it against client pain points - Translate technical capabilities into business value for non-technical stakeholders Benefits - The team has built award-winning AI products for tech corporations from C-level leadership to the people you'll work with day to day, everyone here has done this before - Small teams, high ownership results matter more than process, and your work is visible - Room to grow fast both in seniority and in scope, as the company scales - Startup pace with enterprise stability real clients, real revenue, no bureaucracy - 21 vacation days + public holidays + 5 sick days - Fully remote role - Private English lessons via Preply - Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)

Role Description We are looking to strengthen our team for a MLE (Speech Tech, ASR)! Qualifications - 3+ years of hands-on experience in speech recognition or a closely related field. - Proficiency in Python and deep learning frameworks (especially, PyTorch). - Strong understanding of the state-of-the-art automatic speech recognition techniques and models. - Experience with Streaming ASR Models (e.g., Conformer). - Strong understanding of recognition improving techniques such as beamsearch and language modeling. - Familiarity with ASR evaluation techniques. - Knowledge of signal processing, statistical modeling, and language structure. - Nice to have: MLOps experience, including MLFlow or similar experiment tracking systems. - Familiarity with low-latency audio streaming and optimization techniques for deploying efficient real-time processing systems. - Hands-on experience with Triton Inference Server and TensorRT for production model deployment. - Proficiency in building ML backends and deploying APIs. Requirements - Design and optimize ASR models to ensure that we recognize client’s speech as accurate as possible. - Collaborate closely with product managers and engineers to integrate ASR tech, making it seamless and intuitive for users. - Partner with data teams to build efficient audio data pipelines, from preprocessing to model training. - Regularly update and refine ASR models to adapt to various domains and dialects, enhancing user satisfaction and responsiveness. - Keep up-to-date with the latest ASR advancements, bringing in innovative techniques and tools to keep us at the forefront of voice-assisted banking. - Rigorously test and validate models to meet strict standards. Benefits - The team has built award-winning AI products for tech corporations' devices, voice assistants, products that are actually in the world. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment. - High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly. - Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else. - Startup pace with enterprise stability - real clients, real revenue, no bureaucracy. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply. - Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others).

Role Description We are looking to strengthen our team for a DevOps/SRE Engineer! Qualifications - Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role - Strong hands-on experience with Linux system administration - Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments - Deep expertise and practical experience with at least one major cloud provider (preferably Google Cloud Platform) - Experience with ML inference on GPU/CPU is a strong plus - Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki - Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles - Advanced expertise in Terraform, Ansible, and Python - Comfortable working in high-uncertainty environments - Proactive mindset: ability to look beyond DevOps tasks and actively debug and understand the product - Strategic thinking: ability to choose technologies and architectural approaches based on long-term goals rather than short-term compromises Requirements - Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-prem (Rancher) - Operate and support GPU-based ML inference services (Triton Inference Server, vLLM) deployed on RunPod, Scaleway, and Nebius - Build and maintain Docker images for all microservices and ensure a stable service lifecycle - Maintain and scale development and production Kubernetes clusters, actively participate in deployment debugging, incident investigation, and performance troubleshooting - Develop, maintain, and evolve custom Helm charts for each service - Design and operate CI/CD pipelines using GitHub (code and pipelines) and GitLab for on-prem customer deployments - Ensure platform compliance with SOC 2 requirements and actively contribute to improving security and compliance processes - Manage cluster access via NetBird VPN, implementing role-based access control using group policies - Deploy and manage infrastructure using IaC practices with Terraform and Ansible - Develop and continuously improve observability systems: - Grafana & Prometheus for metrics - ELK stack for centralized log storage and analysis - Continuously optimize infrastructure in the areas of IaC, IAM, Observability, and CI/CD - Work with a technology stack, including: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply

Role Description We are looking to strengthen our team for a MLE (Speech Tech, ASR)! Qualifications - 3+ years of hands-on experience in speech recognition or a closely related field. - Proficiency in Python and deep learning frameworks (especially, PyTorch). - Strong understanding of the state-of-the-art automatic speech recognition techniques and models. - Experience with Streaming ASR Models (e.g., Conformer). - Strong understanding of recognition improving techniques such as beamsearch and language modeling. - Familiarity with ASR evaluation techniques. - Knowledge of signal processing, statistical modeling, and language structure. - Nice to have: - MLOps experience, including MLFlow or similar experiment tracking systems. - Familiarity with low-latency audio streaming and optimization techniques for deploying efficient real-time processing systems. - Hands-on experience with Triton Inference Server and TensorRT for production model deployment. - Proficiency in building ML backends and deploying APIs. Requirements - Design and optimize ASR models to ensure that we recognize client’s speech as accurate as possible. - Collaborate closely with product managers and engineers to integrate ASR tech, making it seamless and intuitive for users. - Partner with data teams to build efficient audio data pipelines, from preprocessing to model training. - Regularly update and refine ASR models to adapt to various domains and dialects, enhancing user satisfaction and responsiveness. - Keep up-to-date with the latest ASR advancements, bringing in innovative techniques and tools to keep us at the forefront of voice-assisted banking. - Rigorously test and validate models to meet strict standards. Benefits - The team has built award-winning AI products for tech corporations' devices, voice assistants, products that are actually in the world. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment. - High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly. - Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else. - Startup pace with enterprise stability - real clients, real revenue, no bureaucracy. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply. - Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others).

Role Description We currently have several large-scale projects and are expanding our infrastructure team. Our product is an advanced platform for creating and managing AI agents. It can be deployed directly inside a customer’s infrastructure and delivered as an enterprise solution, while also being available as a SaaS version. Under the hood, there is real-time voice and telephony, GPU and LLM inference, streaming analytics, and all of this runs both in the cloud and on-prem, including in banking environments. There is a lot of infrastructure; it is complex, interesting, and sometimes at the edge of what is possible. That is why we are looking for a strong SRE who, like us, cares about making systems transparent, reliable, and built the right way. This is a role for a strong, independent engineer. A Senior SRE with real influence and a voice in how things are built and operated. You will also handle DevOps tasks for the team, but your main focus and area of expertise should be SRE: reliability, observability, incident management, and performance under load. Qualifications - 5+ years in SRE/DevOps. - Deep, practical understanding of Docker and Kubernetes. - Mature understanding of metrics and alerts. - Practical experience with Prometheus, Alertmanager, and Grafana. - Experience with SLIs/SLOs, reliability management, incident investigation, and postmortems. - Experience with load testing and basic capacity planning. - Python programming skills. - Cloud experience with GCP and/or AWS. - DevOps fundamentals: CI/CD and infrastructure as code. - Ownership mindset. - Strong communication with developers. - Willingness and ability to mentor, teach, and share knowledge. - Analytical mindset. - Proactivity. - Strong attention to detail and reliability. Requirements - Experience using AI agents for routine and recurring tasks (nice to have). - Real-time telephony: SIP, FreeSWITCH, RTP, WebRTC (nice to have). - GPU/ML serving: Triton, vLLM, RunPod, Nebius, Lambda, run:ai, DCGM (nice to have). - Streaming data and analytics: Kafka, ClickHouse (nice to have). - Deep experience with IaC and GitOps (nice to have). - Experience working in isolated and highly secure environments (nice to have). - Experience preparing systems for significant growth in load (nice to have). Responsibilities - Responsible for the reliability of our services: SLIs/SLOs, availability, and identifying and eliminating bottlenecks. - Set up monitoring for services, metrics, alerts, and dashboards. - Build and maintain Grafana dashboards. - Run load testing, analyze results, and provide recommendations. - Investigate incidents, participate in on-call rotations, and write postmortems. - Work closely with developers to communicate and defend your position. - Develop and support Kubernetes-based infrastructure across clouds. - Take part in delivering and supporting the platform for customers. - Mentor colleagues and help raise the engineering bar across the team. Benefits - The team has built award-winning AI products for tech corporations. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI. - High engineering bar and real ownership. - Fast career progression. - Startup pace with enterprise stability. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply.

Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Native Portuguese speaker — this role involves designing and writing conversational content entirely in Portuguese; native-level fluency is mandatory - 2–3+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail - Proven experience writing and iterating prompts for LLMs (GPT, Claude, Gemini, or similar) for real business use cases - Experience designing end-to-end conversational flows for chatbots or AI agents, including intent mapping, dialogue trees, and fallback handling — experience with RASA is a strong plus - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios - Strong written communication skills — you will be writing production-level bot copy and prompt instructions, not just specs - Python scripting skills are a plus Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts - Based on this analysis, design scripts and prompts for AI agents to automate these processes - Create training and test data sets - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply