senior ai engineer

U.S. Pharmacopeia

<div>Description
Who is USP?
The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world&rsquo;s leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide.
At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.
USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds&mdash;regardless of background&mdash;to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.
Brief Job Overview
We are seeking a high-energy, Senior AI Engineer focused on rapid prototyping of AI applications across the enterprise. Working as an independent contributor, you'll partner with our digital teams and enterprise platform teams &mdash; Oracle EBS ERP, Salesforce, Data Engineering, Cloud Commerce, Custom Applications, and Pega BPM &mdash; to identify high-value AI opportunities and turn them into working prototypes that demonstrate business impact.
This is a hands-on builder role for someone who thrives on breadth: one week you might prototype an intelligent document extractor for ERP invoice processing, the next a RAG-based knowledge assistant for customer service in Salesforce, and the next an agentic workflow inside Pega. You bring the AI expertise; the platform teams bring the domain and integration knowledge.
How will YOU create impact here at USP?
In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments.
As the Senior AI Engineer, your responsibilities include:
<ul><li>Prototype AI solutions across USP's enterprise application landscape &mdash; LLM apps, RAG systems, intelligent agents, document AI, classification, summarization, and more.</li>
<li>Partner with digital and enterprise platform teams (EBS, Salesforce, Data Eng, Cloud Commerce, Custom Apps, Pega) to identify pain points AI can address; jointly scope proofs-of-concept.</li>
<li>Demonstrate business value through working prototypes, evaluations, and demos to IT leadership and business stakeholders &mdash; with clear metrics on quality, cost, and effort saved.</li>
<li>Recommend production paths &mdash; advise which prototypes are ready to hand off to platform teams for productionization, what infrastructure/guardrails they'll need, and where USP should invest.</li>
<li>Establish AI patterns and reusable components &mdash; prompt libraries, evaluation harnesses, connector patterns &mdash; so successful prototypes accelerate.</li>
<li>Champion responsible AI &mdash; apply USP's AI Policy, ensure privacy/compliance considerations (21 CFR Part 11, HIPAA where relevant, data handling standards) are addressed from the prototype stage.</li>
<li>Stay ahead of the field &mdash; evaluate emerging models, frameworks, and vendors; make informed recommendations aligned with USP's approved tech stack.</li>
</ul>Who is USP Looking For?
The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience:
<ul><li>6+ years of software engineering experience, with 2+ years building applied AI/ML solutions (LLM apps, RAG, agents, or classical ML in production or advanced prototypes), or equivalent experience.</li>
<li>Strong Python; hands-on with modern AI frameworks (LangChain, LlamaIndex, Hugging Face, or equivalent).</li>
<li>Direct experience with LLM APIs (Claude, GPT, Gemini, or similar), prompt engineering, and evaluation techniques.</li>
<li>Experience building RAG pipelines with vector databases (pgvector, Pinecone, Weaviate, Azure AI Search, etc.).</li>
<li>Comfort integrating with enterprise systems via REST APIs, webhooks, and event-driven patterns.</li>
<li>Cloud proficiency &mdash; AWS or Azure preferred; containerization (Docker) familiarity.</li>
<li>Ability to work independently &mdash; scoping ambiguous problems, choosing tools, shipping working software without a dedicated team around you.</li>
<li>Excellent communication &mdash; able to explain AI capabilities and limitations to non-technical stakeholders and translate business problems into AI approaches.</li>
<li>Education: Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li>
</ul>Additional Desired Preferences
<ul><li>Experience prototyping AI in regulated industries (pharma, healthcare, life sciences, standards bodies).</li>
<li>Experience with agentic frameworks, tool use, and orchestration (LangGraph, CrewAI, Claude Agent SDK, etc.).</li>
<li>Knowledge of MLOps practices &mdash; evaluation pipelines, model versioning, observability.</li>
<li>Awareness of 21 CFR Part 11, HIPAA, GxP, or comparable compliance frameworks.</li>
</ul>Supervisory Responsibilities
None, this is an individual contributor role.
Benefits
USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.
Compensation
Base Salary Range: USD $100,042.00 &ndash; $142,560.00 annually.
Target Annual Bonus: % Varies based on level of role.
Individual compensation packages are based on various factors unique to each candidate&rsquo;s skill set, experience, qualifications, equity, and other job-related reasons.
Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
Job Category Information Technology
Job Type Full-Time</div>

Senior AI Engineer

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Senior AI Engineer
Introduction to the Team
Expedia Group B2B empowers partners to deliver exceptional traveler and B2B experiences, driving growth for both our partners and the Expedia Group marketplace. We achieve this through competitive supply, a trusted advertising and travel media network, and effective affiliate solutions.
As a member of the B2B Supply Marketing Digital Operations Data team, you will drive strategic AI initiatives and intelligent automation efforts that power insights, personalized experiences, and next-generation marketing capabilities for our partners. This role sits within the Marketing Technology &amp; Digital Operations Engineering organization and is responsible for identifying, building, and scaling AI-powered solutions that improve productivity, automate workflows, unlock insights, and transform how marketing teams work. The ideal candidate combines strong technical expertise with curiosity, experimentation, and a deep understanding of how AI can fundamentally change business processes.
In this role, you will:
<ul><li>Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.
</li><li>Lead end-to-end delivery of AI products and solutions &mdash; from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.
</li><li>Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.
</li><li>Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.
</li><li>Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.
</li><li>Build AI solutions that combine business, operational, and marketing data to generate actionable insights and move teams from reactive reporting toward proactive recommendations and automation.
</li><li>Develop reusable frameworks, playbooks, and accelerators that enable rapid experimentation and scaling of AI capabilities across Digital Operations and Marketing teams.
</li><li>Lead pilots and proof-of-concepts that demonstrate measurable business impact, and drive adoption of AI-first operating models through best practices and governance frameworks.
</li><li>Establish standards for AI development, testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations.
</li><li>Stay current with advancements in Generative AI, Agentic AI, and intelligent automation, contributing to the long-term AI roadmap for Marketing Technology and Digital Operations.
</li></ul>Experience and Qualifications
Required:
<ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience
</li><li>8+ years of software engineering, data engineering, or platform engineering experience
</li><li>3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions
</li><li>Proficiency in Python and modern software engineering practices
</li><li>Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies
</li><li>Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights &amp; Biases, or Databricks
</li><li>Strong knowledge of cloud platforms (AWS preferred) with experience deploying scalable AI services, APIs, and microservices
</li><li>Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization
</li><li>Experience integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems
</li><li>Proficient communication skills with the ability to work both collaboratively and autonomously across technical and non-technical teams
</li></ul>Preferred:
<ul><li>Experience in marketing technology, including familiarity with CRM systems, marketing automation platforms, or personalization engines
</li><li>Familiarity with Salesforce, Adobe Experience Cloud, Marketo, Braze, or similar MarTech ecosystems
</li><li>Experience building enterprise AI copilots, assistants, or agent-based automation solutions
</li><li>Knowledge of AI governance, responsible AI practices, and enterprise AI adoption strategies
</li><li>Experience leading AI transformation initiatives with measurable business outcomes
</li></ul>#LI-AD1
The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa;The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

EPAM Systems

<div>We are seeking a Senior AI Engineer with strong expertise in ReactJS and Python to join our team and help build, debug, and scale intelligent applications powered by LLMs and agent-based architectures. The ideal candidate combines deep backend engineering skills with a sharp eye for frontend quality and thrives on tracing complex issues across the full stack &mdash; from UI rendering to agent reasoning failures.
Responsibilities<ul><li>
Design and build async endpoints, background tasks, and streaming responses using Python and FastAPI</li><li>
Develop and maintain agent-based systems, including prompt design, tool-calling, and RAG pipelines</li><li>
Diagnose and resolve LLM failure modes such as hallucination, context contamination, and non-deterministic output</li><li>
Tune retrieval quality through chunking strategies, embeddings, and vector search optimization</li><li>
Build and fix production-grade React UIs, including layout, responsive behavior, and streaming state management</li><li>
Identify and resolve concurrency issues, including shared mutable state and callback bleed under concurrent requests</li><li>
Operate within Docker and Kubernetes environments, including deployment and pod/log debugging</li><li>
Write and maintain test coverage using pytest and vitest, including mocks and fixtures</li><li>
Trace symptoms to root causes across frontend, backend, and agent layers to ensure system reliability</li></ul>
Requirements<ul><li>
5+ years of experience with Python, FastAPI, and asynchronous programming patterns</li><li>
Proficiency in agent frameworks such as pydantic-ai, LangGraph, or LangChain, with hands-on experience in prompt engineering and tool-calling</li><li>
Expertise in RAG systems, including chunking, embeddings, and vector search tools such as Qdrant or pgvector</li><li>
Skills in React (hooks) and CSS, with the ability to build and troubleshoot complex, responsive UIs</li><li>
Understanding of concurrency and state management, with experience implementing request-scoped state, locks, and thread-safety</li><li>
Familiarity with Docker and Kubernetes, including container management and deployment debugging</li><li>
Background in testing practices using pytest and vitest, with consistent use of mocks and fixtures</li><li>
Strong debugging skills with the ability to trace issues across frontend, backend, and agent layers</li><li>
English proficiency at B2 level or higher</li></ul>
Nice to have<ul><li>
Experience with AWS Bedrock or other model gateway platforms beyond OpenAI</li><li>
Familiarity with Langfuse or other LLM observability tooling</li><li>
Knowledge of python-pptx or document generation tools for PowerPoint and PDF outputs</li><li>
Background in regulated industries such as pharma or life sciences, including familiarity with FDA PMA/510(k) and IVDR terminology</li><li>
Skills in Helm chart authoring and CI/CD pipelines using GitHub Actions</li><li>
Design sensibility for building premium, non-generic user interfaces</li><li>
Experience integrating SSO/OAuth solutions such as Azure AD or MSAL</li><li>
Familiarity with vector DB operations, including Qdrant collection management and embedding pipeline maintenance</li><li>
Understanding of prompt-eval or LLM-testing frameworks for measuring answer quality over time</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee and snacks</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft&rsquo;s Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Senior AI Engineer with ReactJS

Collaboration.Ai

<div><h1 class="jobSectionHeader">Who We Are</h1>
Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.<h1 class="jobSectionHeader">
Our Products</h1>
NetworkOS &mdash; NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.
CrowdVector &mdash; CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.
To learn more about us, visit collaboration.ai.<h1 class="jobSectionHeader">
About the Role</h1>
You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.
This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory &mdash; for customers in defense, healthcare, and regulated enterprise.
Agents in production. Pipelines that hold. Evals that keep everyone honest. 
 
This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis, Saint Paul); however all candidates are encouraged to apply!<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Ship production agent systems &mdash; design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence</li><li>
Operationalize LLM quality &mdash; build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency</li><li>
Engineer data pipelines &mdash; robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates</li><li>
Own retrieval quality &mdash; hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression</li><li>
Accelerate with AI &mdash; build custom MCP tools and Agent Skills that make the whole engineering team measurably faster</li><li>
Execute alongside the team &mdash; pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code</li></ul><h2 class="jobSectionHeader">
Our Tech Stack</h2><ul><li>
Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)</li><li>
AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)</li><li>
Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards</li><li>
LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock</li><li>
Search &amp; Retrieval: Vector databases, OpenSearch, embedding models</li><li>
Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed</li><li>
Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2>
Must Haves<ul><li>
7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering</li><li>
Production agentic/LLM application experience &mdash; built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows</li><li>
Data engineering background &mdash; robust, scalable pipelines for AI/ML workloads</li><li>
LLM operations experience &mdash; evals and observability for production LLM systems (quality, cost, latency)</li><li>
Production retrieval experience &mdash; vector databases and/or search engines (OpenSearch, Elasticsearch)</li><li>
Modern Python stack proficiency &mdash; FastAPI, Pydantic, async/await, modern dependency management</li><li>
AI-native workflows &mdash; demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development</li><li>
Experience with Docker, Kubernetes, and AWS</li><li>
US citizenship required (DoD contracting &mdash; IL4/IL5 environments &mdash; and FedRAMP compliance)</li></ul>
Nice-to-Haves<ul><li>
Deep agentic ecosystem experience &mdash; Agent Skills standards, custom MCP servers, agent SDKs across major vendors</li><li>
Advanced RAG expertise &mdash; GraphRAG, agentic RAG, contextual retrieval, reranking strategies</li><li>
Graph data experience &mdash; knowledge graphs, graph databases, or graph-based retrieval</li><li>
Model selection &amp; rightsizing &mdash; matching models to domain-specific use cases across quality, cost, and latency tradeoffs</li><li>
Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates</li><li>
Research background, open-source contributions, or an advanced degree in ML/IR/NLP</li></ul><h3 class="jobSectionHeader">
Why Join Collaboration AI?</h3>
Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents &mdash; with the autonomy to shape how it's built.
AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily &mdash; you'll both use and build them.
Work that matters. Defense, healthcare, and regulated industries &mdash; SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.
Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.
DP5OkrdSXC</div>

Senior AI Engineer - Agentic Systems & Data Pipelines

The Garage In

POSITION SUMMARYAt the Garage, we're building the future of healthcare through data, interoperability, AI, and agentic platforms.As a Senior Data &amp; AI Engineer, you will design, build, and scale AI-powered data products, analytics platforms, automation utilities, and intelligent services that accelerate innovation across our ecosystem. You will work at the intersection of healthcare data, software engineering, generative AI, and analytics to transform raw data into actionable intelligence. This is a hands-on engineering role for someone who loves building, experimenting, and solving complex healthcare challenges using modern data engineering practices and AI technologies.ESSENTIAL TASKS AND RESPONSIBILITIES<ul><li>Design and develop scalable healthcare data pipelines and reusable data services.</li><li>Build AI-powered tools, internal utilities, and developer accelerators using modern LLMs and agentic frameworks.</li><li>Develop analytics products and dashboards that provide real-time operational and business intelligence.</li><li>Build reusable APIs and data services that power Blaze Agents and platform capabilities.</li><li>Design semantic data models optimized for analytics and AI.</li><li>Create data products that improve customer adoption, platform insights, and decision-making.</li><li>Develop proof-of-concepts for emerging AI technologies and rapidly operationalize successful ideas.</li><li>Ensure data quality, consistency, governance, and observability across the platform.</li><li>Optimize data processing performance, scalability, and cost efficiency.</li><li>Create predictive models and AI-enabled insights that support value-based care, population health, and interoperability initiatives.</li><li>Champion modern software engineering and AI development best practices.</li><li>Contribute to architectural decisions across the data and AI platform.</li><li>Modernize and optimize data processes and workflows by replacing legacy solutions with scalable, automated, and AI-enabled capabilities.</li></ul>QUALIFICATIONS<ul><li>5+ years of hands-on experience in Data Engineering, Analytics Engineering, Machine Learning Engineering, or AI Engineering.</li><li>Minimum 5 years of experience in healthcare domain (required).</li><li>Experience working with healthcare data including Claims, Clinical, FHIR, HL7, ADT, Quality Measures, Risk Adjustment, or Population Health.</li><li>Passionate about using AI to solve meaningful healthcare challenges.</li><li>Thinks like a builder and enjoys creating tools that make others more productive.</li><li>Communicates effectively with both technical and non-technical audiences.</li></ul>Pay: $100,000.00 - $120,000.00 per yearBenefits:<ul><li>Flexible schedule</li></ul>Application Question(s):<ul><li>Are you currently located in Orlando for this role? If not, would you be open to relocating?</li><li>What is your salary expectation for this position?</li></ul>Experience:<ul><li>healthcare domain: 5 years (Required)</li><li>Data, Analytics, Machine Learning, or AI Engineering: 5 years (Required)</li></ul>Work Location: Hybrid remote in Orlando, FL 32801

Senior Data & AI Engineer

Blooming Health

<div>About Blooming Health
Blooming Health is a mission-driven, venture-backed health tech company transforming the social care landscape. We&rsquo;re building an intelligent platform that helps people navigate and access the resources essential for holistic well-being, enabling CBOs, health systems, and health plans to deliver more effective and equitable care.
The Opportunity
We&rsquo;re hiring an AI Engineer with strong voice AI experience to help design and build the systems that power our AI experiences, with a particular focus on real-time conversational voice systems, LLM-driven workflows, and orchestration layers. You&rsquo;ll work closely with the Director of AI Engineering and product and engineering partners to ship reliable AI features into production, with strong attention to evaluation, data, latency, and software quality.
What You&rsquo;ll Do<ul><li>
Design and build voice AI systems for real-time, conversational user experiences</li><li>
Develop and maintain AI orchestration layers, including agent workflows, state management, and system handoffs</li><li>
Architect and improve workflows across speech-to-text, LLM reasoning, tool calling, and text-to-speech</li><li>
Think through tradeoffs in conversation design, prompt design, tool architecture, latency, and turn-taking</li><li>
Build systems that handle ambiguity, interruptions, edge cases, and real-world voice interaction challenges</li><li>
Write clean, tested, production-ready Python across APIs, services, and orchestration code</li><li>
Design data pipelines that capture, transform, and surface insights from patient and member interactions</li><li>
Partner on technical direction and help shape how Blooming Health builds and deploys voice-based AI products</li></ul>
What You&rsquo;ll Bring
Must Have
Voice AI Experience<ul><li>
Hands-on experience building and shipping voice AI or real-time conversational AI systems in production</li><li>
Experience working with speech-to-text, text-to-speech, telephony, or streaming audio pipelines</li><li>
Strong understanding of the challenges in voice systems, including latency, interruptions, barge-in, turn-taking, transcription quality, and conversation flow</li><li>
Experience integrating voice infrastructure such as Twilio, WebRTC, or similar real-time communication tools</li></ul>
AI / LLM Foundations<ul><li>
Hands-on experience with LLM APIs such as OpenAI, Anthropic, or similar</li><li>
Strong understanding of prompt engineering patterns, limitations, and production tradeoffs</li><li>
Experience designing conversational AI systems and reasoning through workflow design, agent structure, and uncertainty handling</li><li>
Ability to evaluate when to use agents, tools, retrieval, or deterministic logic in AI systems</li></ul>
Python Proficiency<ul><li>
Strong Python skills, including experience with async Python such as asyncio, httpx, and similar frameworks</li><li>
Experience building APIs and backend services</li><li>
Strong grasp of clean code, testing, and production software quality</li></ul>
Data Engineering Fundamentals<ul><li>
Strong SQL skills, ideally with PostgreSQL</li><li>
Experience building ETL pipelines and data workflows</li><li>
Understanding of data modeling, schemas, and how to structure data for AI systems and analytics</li></ul>
Nice to Have
AI / LLM Depth<ul><li>
Experience with multi-agent systems, tool use, and function calling</li><li>
RAG, embeddings, and retrieval systems</li><li>
Familiarity with evaluation and testing strategies for AI systems</li><li>
Experience improving reliability and observability in production AI systems</li></ul>
Data / Infrastructure<ul><li>
Streaming data experience, including Kafka or event-driven systems</li><li>
Experience with orchestration tools such as Airflow, Prefect, or Dagster</li><li>
dbt or similar transformation tools</li><li>
Docker, Kubernetes, and cloud platforms such as GCP or AWS</li></ul>
Healthcare Domain<ul><li>
Experience in healthcare, care management, patient engagement, or SDOH</li><li>
Familiarity with HIPAA and healthcare data and privacy considerations</li></ul>
Compensation and Benefits<ul><li>
Salary: $250,000 to $300,000</li><li>
Fully remote</li><li>
Medical, dental, and vision insurance</li><li>
401(k)</li></ul>
Why Join Blooming Health?<ul><li>
Impact: Help improve access to social care and advance health equity</li><li>
Innovation: Build real-world voice and AI systems that ship to production</li><li>
Ownership: Take on meaningful technical responsibility and help shape the product</li><li>
Team: Work with mission-driven people who move quickly and care about doing things well</li></ul>
Compensation Range: $250K - $300K</div>

Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required

FRONT

<div>Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune&rsquo;s Best Workplaces in the Bay Area ,Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale.
What will you be doing?<ul><li>
Design, develop, and deploy generative AI applications using NodeJS &amp; TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries.</li><li>
Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities.</li><li>
Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends.</li><li>
Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency.</li><li>
Dive deep into real-world data, ensuring high-quality model training and iteration</li><li>
Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards.</li><li>
Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate.</li></ul>
What skills and experience do you need?
Must Have:<ul><li>
5+ years of experience in software development, with a strong focus on AI and machine learning projects.</li><li>
Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies.</li><li>
Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred.</li><li>
High learning agility - you&rsquo;re excited when you encounter a problem you haven&rsquo;t seen before.</li><li>
Strong communication skills that illustrate a clear, structured thought process.</li></ul>
Should Have:<ul><li>
Excellent problem-solving abilities and the capacity to work both independently and as part of a team.</li><li>
Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc.</li><li>
Strong communication skills, capable of explaining complex technical concepts to non-experts.</li><li>
Deep knowledge of algorithms, data structures, and principles of software engineering.</li></ul>
Nice to Have:<ul><li>
Knowledge in specialized machine learning areas (deep learning, reinforcement learning).</li><li>
Experience in SaaS or multiplayer application machine learning implementations.</li></ul>
Front operates on a hybrid model &mdash; we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
What we offer<ul><li>
Competitive salary</li><li>
Equity (we are post-series D &amp; backed by some of the best VCs in the US)</li><li>
Private health insurance, including plan options at no cost to employees</li><li>
Paid parental leave</li><li>
Flexible time off policy</li><li>
Flexibility to work from home Monday and Friday, unless posted as a fully remote role</li><li>
Mental health support with Workplace Options</li><li>
Family planning support with Maven</li><li>
$100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities</li><li>
Wellness Days - Fronteers get an additional day off on months with no holidays</li><li>
Winter Break - Our offices are closed from Christmas to New Year's Day!</li></ul>
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice &amp; EU Privacy Notice
Compensation Range: $205K - $238K</div>

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