Senior Ai Voice Engineer Job at Arrows Groupe

Senior Software Engineer, Voice AI

Own backend infrastructure for real-time audio/video calling (Twilio, Salesfloor...

Location

United States , San Francisco

Salary:

215000.00 - 280000.00 USD / Year

Nooks

Expiration Date

Until further notice

Requirements

6–10+ years backend/infra engineering with real-time A/V or telephony systems
Hands-on experience with WebRTC, SIP, Twilio, or similar stacks
Strong foundation in distributed systems and low-latency infra
Experience debugging and optimizing QoS (latency, jitter, packet loss)

Job Responsibility

Architect and improve real-time voice infra (WebRTC/SIP/Twilio)
Ensure call quality and latency meet SLA targets globally
Build services for advanced features (call transfers, monitoring, recordings)
Develop observability and debugging tools for call flows
Partner with Product/Support to enable new A/V features and fast issue resolution

What we offer

equity
comprehensive health, dental, vision, life and disability insurance coverage
hybrid work
unlimited paid time off

Fulltime

Senior Software Engineer (AI Voice Agents)

Working closely with the Engineering Manager and Product Lead, you will be a Mid...

Location

Australia , Sydney

Salary:

Not provided

Heidi

Expiration Date

Until further notice

Requirements

Mastery of Fullstack fundamentals: proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from database schema to UI interaction
Applied AI & Voice fluency: working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing)
Pragmatic problem solving: balance engineering purity with the need for speed
Cloud fluency (AWS or GCP): can spin up own infrastructure (containers, serverless functions) and manage CI/CD pipelines
Rigorous testing in production: implement observability and feedback loops to monitor AI features in the wild

Job Responsibility

Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage voice AI and LLMs to automate clinical workflows
Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse medical environments
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters

What we offer

Flexible hybrid working environment, with 3 days in the office
Additional paid day off for your birthday and wellness days
Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company

Fulltime

Senior AI Engineer

As a Senior AI Engineer, you will spearhead the technical execution of 3Shape’s ...

Location

Ukraine , Kyiv

Salary:

Not provided

3Shape

Expiration Date

Until further notice

Requirements

Master’s degree in CS, Data Science, ML, or related field (or equivalent practical experience)
2–4 years of experience in Software Engineering or AI/ML development, with a deep understanding of how to build and maintain scalable systems
Proven end-to-end solution ownership
Strong Python skills (FastAPI/Flask)
Deep hands-on experience with Agentic Systems, prompt engineering, tool-use (function calling), and RAG/knowledge-base integration

Job Responsibility

Lead the integration of external AI tools, ensuring every solution delivers measurable business impact
Design, test, and productionize sophisticated chat and voice agents featuring LLM reasoning and TTS integration
Architect workflows that streamline operations and drive efficiency across the organization
Take full accountability for the lifecycle of a product from initial concept and design to production and maintenance
Empower internal teams by providing the training needed to maximize the adoption of custom AI solutions

What we offer

24 working days of annual vacation
medical insurance
paid sick leaves and child sick leaves
maternity and paternity leaves
breakfasts and lunches in the office
good working conditions in a comfortable office in UNIT.City
a parking lot with free spaces for employees
occasional business trips to Western Europe

Fulltime

Senior AI Engineer (Agents)

We are looking for an experienced and exceptional Senior AI Engineer (Agents) to...

Location

Singapore

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, or a related field, or equivalent practical experience
5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java)
Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models)
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management
Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions
Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling
Deep knowledge of REST API design and integration patterns
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases
Strong understanding of software architecture, scalability, security, and system design

Job Responsibility

Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures
Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary
Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time
Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores
Lead technical initiatives for AI system integration into existing products and services
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models

Senior AI Engineer

We are seeking an experienced Senior Python Software Engineer (Senior AI Develop...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience
Several years of experience in AI and Machine Learning development, ideally within Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Analytical mindset and strong problem-solving capabilities
Polish & English speaker

Job Responsibility

Design, develop, and integrate AI/ML solutions, with a particular focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces
Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases
Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems
Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services
Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment
Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation
Evaluate and integrate open-source and proprietary LLMs, embeddings, and vector databases
Optimize prompt engineering strategies and implement orchestration tools (e.g., LangChain, MCP) to enable complex task execution
Build robust model evaluation frameworks, A/B testing environments, and experiment tracking for iterative development
Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent)

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Fulltime

Senior Frontend Engineer - AI Products

Location

Poland , Warsaw

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Delivered large-scale React applications in production, demonstrating mastery of component design, state management, and frontend architecture
Built and maintained design systems or component libraries that enabled consistent and accessible UIs across multiple products or teams
Implemented complex frontend features involving API integrations and business logic that improved usability and performance for end users
Strengthened engineering practices by introducing or enhancing testing frameworks and CI/CD pipelines for frontend systems
Led or mentored peers within a frontend engineering community, raising quality through code reviews, documentation, or technical guidance
Worked effectively in cross-functional product teams, demonstrating ownership, adaptability, and a focus on delivering impact for users

Job Responsibility

Designing, implementing, and maintaining workflow-related UI features in hx Renew, delivering user interfaces that are both performant and reliable
Translating designs into production-ready React components using shadcn and tailwindcss, ensuring alignment with hx's design system
Acting as the primary frontend voice within your product team, collaborating with product managers, backend engineers, and designers to define requirements and solutions
Extending and maintaining hx's shared component library, driving consistency and scalability across multiple product teams
Leading by example within the frontend community, supporting less-experienced engineers through mentoring, reviews, and shared learning
Improving reliability through rigorous testing (unit, component, integration) and strengthening CI/CD processes for frontend delivery

What we offer

Share Options at a highly successful Series B company
25 days of non-working + 14 Polish bank holidays
£5,000 budget for Learning & Development
Mental Health Support and Therapy via Spectrum Life
Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor)
Top-spec laptop (MacOS or Windows)
Share Options at a highly successful Series B company
£5,000 budget for learning & development
26 days of holiday + 14 Polish bank holidays
Company pension

Fulltime

Senior Engineer, Interactive Voice Response - AI/ML

Our Service Engineering team at GEICO is revolutionizing customer service using ...

Location

United States , Palo Alto, CA; New York City, NY; Chevy Chase, MD

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++
Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance
Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS)
Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation
Experience in building products using micro-service-oriented architecture and extensible REST APIs
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Experience with continuous delivery and infrastructure as code
Experience in leveraging PowerShell scripting
Experience in existing Operational Portals such as Azure Portal
Experience with application monitoring tools and performance assessments

Job Responsibility

Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat)
Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience
Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions
Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring
Stay at the forefront of AI and distribute systems research, bringing innovative approaches and tools into production environment
Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
Consistently share best practices and improve processes within and across teams

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior AI Security Engineer

The Senior AI Security Engineer is a technical leader and engineering manager wi...

Location

Hungary , Budapest

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-10+ years of experience in software engineering, with demonstrable experience as a technical lead or engineering manager
Python mastery: Deep, hands-on experience building and maintaining production-grade Python applications and services
LLM engineering: Practical experience with LLM APIs (OpenAI, Anthropic, Google), prompt engineering, model evaluation, and input/output guardrails
Production systems: Track record of deploying and operating AI/ML systems in production at enterprise scale
Software engineering fundamentals: Clean code, design patterns, testable architecture, CI/CD, infrastructure-as-code
3+ years leading or managing engineering teams, including performance management, hiring, and career development
Track record of delivering complex software products in environments where priorities shift rapidly
Experience setting engineering standards and driving quality across a team's output
Demonstrated ability to mentor and develop engineers through code review, architectural guidance, and knowledge sharing
Proven capability to attract, develop, and retain engineering talent

Job Responsibility

Agentic AI Engineering & Use Case Incubation (40%): Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls
Build and maintain RAG pipelines, knowledge retrieval systems, and dynamic context assembly that underpin agent decision-making
Shepherd validated use cases through to production readiness and handoff to the dedicated product support team
Drive adoption and effective use of AI development tooling (Devin, GitHub Copilot, Claude Code) to maximize team velocity
Make key technical decisions on architecture, technology selection, and build-vs-integrate trade-offs
Incubator Platform & Technical Architecture (25%): Design and maintain the Incubator Environment architecture — a scalable, secure platform that enables rapid prototyping and validation of agentic AI use cases

What we offer

Cafeteria Program
Home Office Allowance (for colleagues working in hybrid work models)
Paid Parental Leave Program (maternity and paternity leave)
Private Medical Care Program and onsite medical rooms at our offices
Pension Plan Contribution to voluntary pension fund
Group Life Insurance
Employee Assistance Program
Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
Flexible work arrangements to support you in managing work - life balance
Career progression opportunities across geographies and business lines

Fulltime

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Senior Ai Voice Engineer

Job Description

Job Responsibility

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