Senior Software Engineer, Voice AI Job at Nooks (San Francisco)

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 Software Engineer, AI Tools and Security

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years of backend engineering experience with production-grade systems
A strong product mindset—you're excited about building developer-facing tools
Strong grasp of software engineering best practices (code review, source control, CI/CD, testing)
Experience building secure, high-throughput services
Proficiency in modern programming languages (we primarily use Go)
Ownership mentality with a bias for shipping, learning, and iterating
Comfortable working with autonomy across distributed, remote teams.
Strong written and verbal English communication skills
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Job Responsibility

Contribute to defining the technical approach for new product initiatives
Collaborate closely with Product and Design to shape features and user experience
Support and guide teammates through code reviews and technical discussions
Serve as a reliable technical voice within the team and help ensure strong engineering standards

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Software Engineer, Backend (Voice Platform)

At Cresta, the Voice Platform team is on a mission to transform real-time voice ...

Location

Canada , Toronto

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
5+ years of experience in backend system development, distributed systems, or cloud infrastructure
Expertise in Go (or a similar systems language) with strong API and service design skills
Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases
Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure
Solid understanding of networking, real-time communication protocols, and cloud security best practices
Demonstrated ability to lead complex technical projects from design through production

Job Responsibility

Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services)
Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems
Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation
Build systems that power conversation intelligence for both remote and in-person interactions
Improve observability, reliability, and self-service troubleshooting across the platform
Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud
Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments
Provide technical guidance, mentorship, and best practices to other engineers on the team

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada

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 Software Engineer (AI/ML)

We are looking for a Senior Software Engineer (AI/ML) who can design, build, and...

Location

Pakistan , Islamabad

Salary:

Not provided

Devsinc

Expiration Date

Until further notice

Requirements

Bachelors Degree in Computer Science or related fields
3+ years of experience
Strong programming skills in Python (mandatory)
proficiency with PyTorch, TensorFlow, or transformers-based models
Experience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)
Strong grasp of ML model lifecycle — data processing, model training, evaluation, deployment, and monitoring
Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
Familiarity with API integrations, microservices, and asynchronous systems
Strong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architectures
Solid software engineering fundamentals — testing, version control, and system design

Job Responsibility

Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
Implement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)
leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactions
Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learn
Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
Build ML pipelines for training, deployment, and monitoring in production environments
Collaborate with engineering teams to integrate AI components into backend systems and APIs
Ensure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)
Contribute to technical architecture and design reviews for AI-driven features and platforms

What we offer

Provident Fund
Medical Inpatient Facility
Medical Outpatient Facility
Paid Overtime
In-house Subsidized Lunch & Dinner
Gym Facility
Entertaining Activities
Interest Free Loan Facility
Advance Salaries
Sports Allowance

Fulltime