Software Engineer, Voice AI Job at YC Work at a Startup (San Francisco)

Senior Software Engineer, Backend (Voice Platform)

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

Location

Romania , Bucharest

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

Compensation for this position includes a base salary, equity, and a variety of benefits

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior Director of Software Engineering

Lead the Future of Digital Engineering at Modus Create. At Modus Create, we desi...

Location

United States of America

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in software/product development
7+ years in senior engineering leadership—ideally in consulting or high-growth tech environments
A clear point of view on modern architecture, engineering best-practices, and agile delivery
Proven experience scaling distributed global teams and engineering operations
Strong pre-sales and delivery experience—able to shape winning proposals and roadmaps
A customer-first mindset and passion for solving complex problems with elegant, scalable solutions
Excellent communication and collaboration skills in cross-functional and cross-cultural environments
A history of growing leaders and fostering high-trust, high-performance teams—while supporting a culture of empathy, accountability, and shared success

Job Responsibility

Lead & Inspire Engineering Excellence
Build and scale a high-performing, distributed engineering team through strong mentorship and inclusive leadership
Define what great looks like—through reusable run books, technical standards, and nurturing a culture grounded in quality, belonging, and continuous learning
Deliver Business Outcomes, Not Just Code
Help clients modernize platforms, launch new products, and make better innovation investment decisions
Ensure every solution is aligned with client goals and drives measurable value, while remaining empathetic to real-world user needs and impact
Drive Technical Strategy & Practice Development
Own and evolve our delivery frameworks, engineering standards, and team operations
Champion cloud-native development, Agile/Lean methodologies, and scalable architecture, balancing technical vision with affinity with both the people building and the people using the product
Business Development & Sales Support

What we offer

Remote work with flexible working hours
Flexible Time Off/PTO
Premium Health Insurance (medical, vision, and dental)
Other benefits such as FSA and HSA
401 (k)
Modus Global Office Programme: on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account

Fulltime

AI Deployment Engineer

Crescendo is hiring an AI Deployment Engineer to manage technical implementation...

Location

United States

Salary:

Not provided

Crescendo

Expiration Date

Until further notice

Requirements

4-6 years of experience building and deploying conversational AI solutions (voice and chat bots)
4-6 years of experience in a customer-facing implementation or consulting role, preferably in B2B SaaS or enterprise software
Experience integrating AI solutions with support CRMs such as Zendesk, Gorgias, and Kustomer, including configuring workflows, ticketing logic, and data handoffs between systems
Demonstrate strong practical knowledge of web technologies, including HTML, CSS and JavaScript
Excellent communication, presentation, and interpersonal skills, with the ability to influence and persuade C-suite leaders and stakeholders
Demonstrated ability to collaborate with cross-functional teams and stakeholders to achieve shared goals
Excellent project management and organizational skills, with the ability to prioritize and delegate tasks effectively
Strong analytical and problem-solving abilities

Job Responsibility

Collaborate with customers and pre-sales teams to understand requirements through detailed discovery and information gathering
Work with Engineering and Product teams to review the scope, discuss CX design options, identify potential risks and establish timelines
Design, build, and deploy the CX bot
Collaborate with design engineering teams and the Partner to connect the Partner’s knowledge sources to the platform
Develop, test, and implement the models to enhance bot accuracy, performance and stability
Integrate bot with existing systems and platforms to provide seamless user experiences
Facilitate User Acceptance Testing with the Partner to validate the deployment
Oversee the bot's deployment to the production environment, ensuring a smooth launch
Continuously monitor and optimize bot performance, adjusting based on user feedback and analytics
Create operating procedures for support associates and ensure successful completion of their training on support systems and the AI bot

What we offer

Take on challenges that actually move the needle in an industry ready for change
Earn competitive pay while building a career with endless opportunities
Enjoy remote work with the focus and flexibility to do your best work
Grow in an environment that rewards ambition and sharp execution
Thrive in a team environment where collaboration is the foundation of your success

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

Full-Stack Engineer, AI Companion

The AI Companion team creates the speech interface to NEO, as well as the physic...

Location

United States , Palo Alto

Salary:

150000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

4+ years of experience with C++
4+ years of experience with Python
4+ years of experience with Bazel
4+ years of experience with PyTorch
Experience with real‑time or streaming model architectures or systems
Product obsession with quality, performance, and design taste
Ability to take research ideas into production systems that work reliably
Good product taste as pertaining to human‑robot interaction, non‑verbal communication, and speech UX

Job Responsibility

Design the software architecture for real-time multimodal I/O
Design application flows like scheduling chores and triggering autonomous tasks from the voice interface
Optimize the companion stack for enabling seamless interactions with NEO
Make the Companion scalable and reliable while serving models from remote machines

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Staff Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

New

Software Engineer - Voice AI Agent

Our Voice AI team is building autonomous AI agents that handle inbound calls for...

Location

United States

Salary:

135000.00 - 280000.00 USD / Year

Assembled

Expiration Date

Until further notice

Requirements

3+ years of experience in software engineering as an individual contributor
Strong proficiency in a modern programming language (Go, Python, C#, etc.)
Experience with distributed systems
Solid understanding of data structures, algorithms, and software design principles
Ownership mindset and proven track record of learning new technologies quickly
Enthusiasm and passion for learning AI/ML technologies (no prior experience required)
Highly ambitious and driven, setting high goals for yourself and others
Put customers first, focusing on solving real problems
Enjoy fast-paced environments and can quickly adjust when new insights emerge
A bit of a maverick streak that helps you come up with creative solutions

Job Responsibility

Building high-quality software for our voice AI platform, from rapid prototypes that push the boundaries of what's possible to production-ready, scalable solutions
Continuously improving our AI capabilities and accuracy through experimentation, data analysis, and innovative approaches
Implementing and optimizing LLM and voice technology while balancing intelligence, latency, and cost
Collaborating across engineering and cross-functional teams to tackle challenging technical problems throughout the full lifecycle of our voice AI products - from ideation and prototyping to deployment and monitoring
Build foundational voice features: Develop voice-specific product features from the ground up, such as implementing voice recognition capabilities powered by LLMs and intelligent categorization of incoming calls. You'll help design and build intuitive interfaces for support agents to monitor and interact with AI voice assistants
Improve LLM model results for voice applications: Enhance our voice recognition and generation engine using advanced techniques. You'll help us leverage implicit knowledge bases to improve model performance in voice contexts
Develop voice AI infrastructure: Architect the abstractions that enable integration of various types of LLMs tailored for voice applications. You'll design and implement evaluation and logging systems to monitor performance
Engage with customers: Collaborate with our customers (both support agents and managers) to understand how they interact with our voice product, and how we can improve their experience
Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, and cross-team collaboration
Shape the team culture: Encourage a startup mentality focused on product quality and taking initiative

What we offer

Generous medical, dental, and vision benefits
Paid company holidays, sick time, and unlimited time off
Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting
Paid parental leave
401(k) plan enrollment
Stock options are provided as part of the compensation package

Fulltime

Software Engineer, Voice AI

YC Work at a Startup

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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