Senior Software Engineer (AI Voice Agents) Job at Heidi (Sydney)

New

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

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Senior Product Manager – AI & Extensibility

Trimble’s Project Delivery solutions, such as Trimble ProjectSight and Trimble M...

Location

United States , Westminster

Salary:

144584.00 - 195252.00 USD / Year

Trimble Inc.

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a relevant field such as Computer Science, Engineering, Business, or related discipline
7+ years of experience in product management, ideally in B2B/Enterprise SaaS software, with a strong foundation in technical product management
Proven experience defining and executing multi-year product strategies for complex, technical platforms or ecosystems
Deep technical fluency and a strong working knowledge of modern AI technologies, including large language models, prompt engineering, data organization, and agentic frameworks (e.g., LangChain, MCP)
Demonstrable experience leading API-driven products, developer platforms, or integration ecosystems
Ability to lead and influence in a highly matrixed organization, aligning multiple product teams and stakeholders around a common vision without direct authority
Exceptional communication and presentation skills, with the ability to articulate complex technical concepts and strategic vision to both engineering teams and senior executives
Proven ability to lead teams through ambiguity, bringing structure, clarity, and energy to new, complex domains
Experience mentoring, training, or leading other product managers or technical teams
Relentless curiosity and a growth mindset. Actively seeks out and learns new technologies, frameworks, and methods to stay at the forefront of what’s possible

Job Responsibility

Define and own the long-term strategy and category-wide roadmap for AI and Extensibility initiatives within the Project Delivery business
Champion the strategic vision across the organization, influencing other product leaders, engineering teams, and executives to align on a unified strategy
Act as a Product team leader, mentoring other Product Managers and guiding the engineering team's focus from strategy through execution
Establish and track category-level success metrics for AI adoption, platform usage, and ecosystem health, reporting progress to senior leadership
Partner with Trimble's central AI platform teams to drive the integration of our AI Agentic Platform into Project Delivery solutions
Collaborate with product teams across the category to standardize AI capabilities (e.g., intelligent assistants, document understanding, summarization), ensuring a consistent UX and technical architecture
Envision and define new AI-driven workflows that connect disparate products, redefining how users interact with our solution suite
Guide the application of responsible AI practices across all teams, ensuring transparency, privacy, and reliability are core tenets of our strategy
Own the strategic roadmap for the Project Delivery developer ecosystem, including APIs, SDKs, and integration frameworks
Defining the technical and product strategy for extensibility efforts are future-proofed for agentic-first workflows (e.g., standardized MCP-wrapped APIs)

What we offer

Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans
Tax savings plans for health, dependent care and commuter expenses
Paid Parental Leave
Employee Stock Purchase Plan
Bonus eligibility

Fulltime

New

Senior Software Engineer - Product

Frontier Foundry (F²) is IDC’s bold new innovation engine — a design-led, full-s...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Hands-on experience with Nuance voice technologies or similar platforms (e.g., Azure Speech, Dialogflow, Alexa Skills Kit)
Deep understanding of Voice Access systems, accessibility APIs, and assistive technologies
Strong proficiency in full-stack development, especially client-side application engineering and user-facing experiences
Experience with GitHub Copilot, Copilot Studio, AI Foundry, or equivalent vibe coding/generative AI tools
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, build, and deliver high-quality software components aligned to F² charters: interaction models (inking, stylus, display tech), multimodal innovation (sensor fusion, voice/touch interfaces), or AI agents (context-aware, task-oriented)
Integrate and optimize Nuance Conversational AI technologies (e.g., speech-to-text, text-to-speech, NLU) into multimodal experiences
Enhance Voice Access capabilities across platforms, ensuring accessibility, responsiveness, and seamless user interaction
Work across the stack — from UI to backend — with a bias for impact and iteration
Embrace “vibe coding” using AI-assisted tools like GitHub Copilot, Copilot Studio, AI Foundry, and other generative AI tools to reduce boilerplate and drive intelligent test automation
Collaborate with product, design, and partner teams to shape backlog priorities and deliver intuitive, high-impact experiences
Navigate evolving priorities with ingenuity, turning loosely defined ideas into tangible software outcomes
Contribute to architecture discussions, code reviews, and prototyping efforts
Foster a culture of agility, experimentation, and outcome-driven development

Fulltime

Forward Deployed Engineering Manager

At Cresta, shipping AI is only half the story. Deploying it successfully is wher...

Location

United States

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Engineering management experience: At least 2 years managing, mentoring, and growing engineering teams
Customer-facing engineering background: Experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or similar role working directly with customers
Technical depth: Strong software engineering fundamentals (coding, system design, APIs, databases) — you've built production systems and can earn the respect of senior engineers
AI/LLM familiarity: Hands-on experience with AI agents, LLMs, prompt engineering, or ML deployments in production
Hiring and talent development: Proven track record of recruiting, onboarding, and developing high-performing engineers
Cross-functional leadership: Demonstrated ability to influence and collaborate across Product, Engineering, Sales, and Customer Success teams
Bias toward action: You ship fast, iterate, and believe that perfect is the enemy of good
Customer empathy: Deep understanding of enterprise customer needs and the ability to translate technical concepts into business value
Startup or scale-up experience: You've been in fast-paced, high-growth environments where you wore multiple hats
Enterprise B2B background: Experience with complex, multi-stakeholder deployments and long sales cycles

Job Responsibility

Build and Scale the FDE Team: Recruit top talent
Develop your team
Define the role
Foster culture
Refine Processes and Drive Operational Excellence: Optimize the customer lifecycle
Scale what works
Balance speed and quality
Measure what matters
Drive Product Improvements: Be the voice of the customer
Close the feedback loop

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees

New

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 Product Manager, Internal AI

Lead the effort to build transformative internal tools and platforms. This role ...

Location

United Kingdom , London

Salary:

Not provided

Optimizely

Expiration Date

Until further notice

Requirements

5+ years of Product Management experience
At least 2+ years focused on AI/ML-driven products, internal tools, or enterprise software solutions
Proven experience defining and launching products that utilize Generative AI models (LLMs/VLMs) and/or Machine Learning techniques
Demonstrable experience working in an agile environment with a fast-paced, fast release cycle
Deep familiarity with the commercial and open-source AI ecosystem, encompassing user-facing tools (Gemini, ChatGPT) and enterprise development platforms
Experience collaborating successfully with internal engineering or data science teams on platform development and deployment
Exceptional communication, documentation, and organizational skills, with the ability to convey complex technical concepts to both technical and non-technical executive audiences
Outstanding presentation skills capable of influencing decision-makers and driving internal adoption of new technologies
Bachelor’s degree preferred

Job Responsibility

Define and champion a compelling product vision and roadmap for internal AI tools
Work in deep collaboration with the strong internal AI Engineering team, serving as the primary product voice
Maximize the utilization of Optimizely's internal AI Orchestration Platform, Opal
Lead the end-to-end product lifecycle for internal AI solutions
Maintain a comprehensive understanding of the entire internal and external AI tool landscape
Identify, prioritize, and execute opportunities for transformative change by deploying Agentic AI
Partner closely with GTM, Engineering, Data Science, and IT teams
Thrive in an environment with a fast-paced, fast release cycle
Define key performance indicators (KPIs) and metrics to measure the impact of internal AI solutions

New

Senior AI Engineer

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents...

Location

India , Hyderabad

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 SLMs, LLMs (commercial, open-source models)
Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models)
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering
Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice
Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale
Expertise in working with use case based SLMs for realtime agent coaching and recommendations
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

Job Responsibility

Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures
Build conversational AI interfaces that handle multi-turn low latency chat/voice 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, benchmarking (dual-control, fluid model etc.) and serving at scale
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems
Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents
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

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)

Heidi

Location:
Australia , Sydney

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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