Software Engineer - Voice AI Agent Job at Assembled (San Francisco)

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

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

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

Senior AI Agent Development & Prompt Engineering

In Cyclad we work with top international IT companies in order to boost their po...

Location

Poland

Salary:

110.00 - 125.00 PLN / Hour

Cyclad Sp. z o.o.

Expiration Date

Until further notice

Requirements

4+ years of experience
Ability to automate business processes using AI-driven systems (agentic AI)
Skills in designing, building, and refining AI agents with prompt engineering
Experience developing Python solutions integrating AI frameworks (e.g., OpenAI, LangChain)
Capability to test, simulate, and optimize agentic systems
Experience collecting, cleaning, and preprocessing voice data from call center calls
Ability to develop and execute functional, integration, regression, and AI-specific behaviour tests
Experience defining acceptance criteria with product and engineering teams
Knowledge of quality assurance aligned with evolving AI capabilities and industry standards
Very good English skills

Job Responsibility

Designing, building, testing, and optimizing AI‑driven agentic systems using large language models
Development of automated business processes, creation and refinement of AI agents through prompt engineering, Python-based solution development with AI frameworks, and continuous performance optimization
Collecting and preprocessing voice data for agentic AI, as well as developing and executing comprehensive testing methodologies ensuring reliability, quality assurance, and alignment with evolving AI capabilities and user needs
Work closely with product and engineering teams to define clear and measurable acceptance criteria

What we offer

Remote working model
Collaboration with senior engineers and cross-functional AI teams
Dynamic and innovation-driven engineering environment
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance

Fulltime

Senior AI Security Engineer

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

Location

Hungary , Budapest

Salary:

22713830.00 - 38083370.00 HUF / Month

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

Principal Product Manager

AgentX Support is Workato’s flagship AI-native engine designed to transform cust...

Location

United States , Palo Alto

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

10+ years of product management experience in enterprise software
Demonstrated success building 0-to-1 products or defining new market categories
Track record shipping ML/AI products to production (not just prototyping)
Experience with customer support platforms or CRM systems
Experience with real-time systems or high-throughput environments
Strong systems thinking and comfort designing across APIs, data, models, and workflows
Sufficient technical depth to partner effectively with engineering and AI research teams
Ability to operate effectively in ambiguous, fast-moving environments
Exceptional written and verbal communication skills, with executive-level presence

Job Responsibility

Define the vision and long-term strategy for AI-native, agentic customer support
Establish the product narrative and positioning that differentiates Workato in the customer service market
Represent Workato’s point of view with customers, partners, and industry stakeholders
Partner with design and marketing to translate product capabilities into clear customer value
Define how AI agents interpret intent, reason through complex customer issues, and determine when to act autonomously
Design orchestration frameworks that connect large language models with enterprise systems of record
Lead the development of workflows that enable AI agents to execute actions such as refunds, order modifications, and escalations
Ensure appropriate controls for safety, observability, compliance, and human-in-the-loop oversight at enterprise scale
Define the next-generation support agent workspace augmented by real-time AI guidance
Deliver systems that surface relevant context, recommendations, and next-best actions to human support agents during live customer interactions

What we offer

Vibrant and dynamic work environment
Multitude of benefits they can enjoy inside and outside of their work lives

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 Manager, Software Engineering - Agentic AI Solutions

We are seeking an engineering leader who will drive K's AI-driven core Provider ...

Location

United States , New York

Salary:

215000.00 - 275000.00 USD / Year

K Health

Expiration Date

Until further notice

Requirements

3+ years of experience in Engineering Management, successfully leading and scaling high-performing teams
7+ years of experience in hands-on Software Engineering roles, preferably with experience building complex, distributed systems
Strong architectural, design, and security acumen, ideally within the highly regulated landscape of healthcare or a healthcare-adjacent field
Proven ability to evaluate and synthesize multiple architectural approaches to stitch together integrated solutions that are performant, compliant, scalable, and highly reliable
Deep experience building, evolving, and operating distributed microservices architectures in TypeScript and Kotlin, including API design, service orchestration, and production-grade observability and resilience
Exceptional ability to lead complex discussions across diverse technical and non-technical, internal and external audiences to achieve common goals
Demonstrated expertise in communicating highly complex ideas and influencing stakeholders to achieve optimal business and technical outcomes

Job Responsibility

Provide decisive technical and organizational leadership, guiding the team through the strategic development and delivery of the entire provider and ops product portfolio
Drive the engineering roadmap for advanced AI co-pilot features and provider-facing productivity tools that integrate seamlessly into daily practice
Oversee the creation and successful embedding of ambient AI capabilities and deep automations within core Electronic Medical Record (EMR) systems, specifically Epic
Lead the development of agentic voice and text based AI systems designed to autonomously execute complex operational and administrative workflows, leveraging technologies such as Google ADT, LangFuse, LangGraph, and LangChain, and orchestrating a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned smaller LLMs like Gemma and Llama
Ensure robust, compliant, and deep integration strategies with EMR platforms (e.g., Epic) to deliver seamless and reliable experiences for both providers and patients. This includes a combination of HL7, Smart on FHIR, Open FHIR APIs and proprietary Epic APIs where relevant
Foster a culture of technical excellence, focusing on highly scalable architecture, security, and velocity to deliver transformative results

What we offer

Hybrid work schedule with weekly lunches and stocked fridges
Monthly social committees for company events
18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
Stock options for every full-time employee
Paid parental leave
401k benefit
Commuter Benefits
Competitive health, dental, and vision insurance options

Fulltime

Software Engineer - Voice AI Agent

Assembled

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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