Experience Requirements:

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops

• Experience building and operating realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues)

Other Requirements:

• TypeScript/Node.js

• Python

• AWS

• Terraform

• Kubernetes

• OpenTelemetry

• SigNoz

Responsibilities:

• Technical direction across the stack - backend, frontend, and infra

• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews

• System reliability: ensure platform stays fast, observable, and stable

• Hands-on delivery: contribute to key projects weekly

• Cross-functional glue: keep product and operations connected

Experience Requirements:

• Senior/staff experience running distributed backends with real-time/streaming constraints

• Shipped production LLM apps

• Understanding of prompt/tool design, evals, and guardrail instrumentation

Other Requirements:

• TypeScript/Node.js

• Python

• Temporal

• Redis

• PostgreSQL

• AWS

• Terraform

• Kubernetes

Responsibilities:

• Own core services in TypeScript/Node.js and Python

• Scale platform for 10K parallel calls with 99.99% uptime

• Harden pipelines for ingestion, evaluation, and analytics

• Level-up observability using OpenTelemetry/SigNoz

• Prototype, test, and ship new LLM-driven behaviors

Experience Requirements:

• 3+ years building customer-facing products in a high-velocity environment

Other Requirements:

• Fluent in TypeScript

• React/Next.js

• Node services

Responsibilities:

• Own product features end-to-end: spec, prototype, ship, iterate

• Work closely with customers to drive adoption and outcomes

• Build core customer workflows for voice-agent QA

• Turn messy, high-dimensional data into product experiences

• Maintain high engineering velocity while keeping craftsmanship

Experience Requirements:

• 3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise)

• Demonstrated ability to run complex sales cycles with technical stakeholders

Other Requirements:

• Knowledge of developer tools, infra, observability, testing, or AI platforms

• Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling)

Responsibilities:

• Own revenue outcomes end-to-end: prospecting and closing deals

• Run full-cycle sales: pipeline creation, discovery, demos, and negotiation

• Lead multi-threaded sales cycles across engineering, product, and AI teams

• Translate technical product value into quantified business outcomes

• Drive structured evaluations and pilots

Experience Requirements:

• 1+ years in SDR/BDR, sales, recruiting, or another performance-based role

Other Requirements:

• Strong written communication

• High agency

• Operational discipline

Responsibilities:

• Own outbound pipeline generation across email, LinkedIn, calls, and events

• Research and prioritize target accounts in industries adopting voice agents

• Identify key stakeholders and map organizations

• Personalize outreach using technical and business context

• Qualify inbound leads quickly and route or convert them into meetings

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Education incentives

Experience Requirements:

• Proven experience in Talent Acquisition (startups or tech companies preferred)

• Experience with technical and business recruiting

• Practical experience with active sourcing strategies

Other Requirements:

• High autonomy and ownership

• Excellent communication and organization skills

• Advanced or fluent English

Responsibilities:

• Responsible for end-to-end recruitment of technical and non-technical positions

• Act as a strategic partner to the People team and leadership

• Design and execute active sourcing strategies across multiple channels

• Conduct structured interviews and behavioral/technical evaluations

• Track and analyze recruitment metrics (time-to-hire, pipeline, etc.)

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in IT, Engineering, Data Science or related areas

Experience Requirements:

• 5+ years of experience in Data Engineering

• Advanced mastery of SQL and dbt (modular modeling and tests)

• Experience with AWS ecosystem (S3, Glue, Athena, Redshift)

Other Requirements:

• Experience with distributed processing (Spark/Hadoop)

• Proficiency in Python, Java, or Golang

• Knowledge of Scala, SPARQL, GraphQL, and Delta Lake

• Advanced English

Responsibilities:

• Project, build, and maintain scalable and reliable data pipelines

• Automate ETL/ELT processes ensuring efficiency and quality

• Ensure data availability, integrity, and consistency

• Develop reusable components to support solution scalability

• Collaborate with Engineering, Product, and Solutions teams

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 3-5+ years of professional software engineering experience

• Strong proficiency in React + TypeScript

Other Requirements:

• Experience building modern, component-based web applications

• Curiosity about browser extensions and/or Office Add-ins

• Experience with AI coding tools (e.g., Cursor, Claude Code)

• Excellent communication skills

Responsibilities:

• Build and enhance React-based front-end stack

• Implement reusable React components

• Create abstraction layers to maximize code reuse

• Iteratively improve UX based on customer feedback

• Implement automated UI testing

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 5+ years backend engineering (Python & TypeScript-first)

• Production experience in serverless

• Hands-on with generative AI (Claude/OpenAI or equivalent) in production

Other Requirements:

• Deep knowledge of AWS serverless (Lambda, DynamoDB, API Gateway)

• Strong AWS CDK or CloudFormation skills

• Proficiency with AI coding tools

• Ability to design multi-tenant, scalable systems

Responsibilities:

• Architect serverless microservices powering core APIs

• Develop advanced LLM features and context orchestration

• Design and optimize RAG pipelines using AWS Bedrock

• Define AWS CDK (TypeScript) IaC for all backend resources

• Maintain SOC 2 Type II and Google CASA compliance posture

Benefits:

• Horaires de travail flexibles

• Team building

• Afterworks

• Déjeuners d'équipe

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• 5+ years in Data & AI engineering

• Proven track record of deploying Data workflows & AI systems in production

Other Requirements:

• Proficiency in Python

• Hands-on experience developing agentic solutions

• Experience with API design and developmen t

• Familiar ity with a major data or cloud platform (GCP, AWS, Azure, etc.)

• Fluen t in English

Responsibilities:

• Contr i b u t e t o c l i e n t p r o j e c t s d e l i v e r y f r o m s c o p i n g t o d e p l o y m e n t

• Und e r s t a n d c l i e n t b u s i n e s s c h a l l e n g e s a n d t r a n s l a t e t h e m i n t o t e c h n i c a l r e q u i r e m e n t s

• Ass e s s t h e d a t a e c o s y s t e m a n d p r o p o s e o p t i m a l a p p r o a c h e s

• Col l a b o r a t e w i t h s o f t w a r e e n g i n e e r s t o d e f i n e a r c h i t e c t u r e

• Sk e t c h p r o t o t y p e s a n d t u r n t h e m i n t o p r o d u c t i o n - g r a d e s y s t e m s

Other Requirements:

• Passion for building on the bleeding edge of technology

• Passion for helping businesses scale in different industries

Responsibilities:

• Pushing your business forward into the age of AI

Benefits:

• Major medical, dental, and vision

• Tuition Assistance up to $3,500

• Performance-Based Incentives

• Annual Pay Increases

• 401(k) Retirement Plan

Education Requirements:

• High school diploma or GED equivalent

Experience Requirements:

• Previous experience in security, military, or law enforcement is a plus

Other Requirements:

• Must be 21 years of age or older

• Valid Florida Class D Security License

• Valid driver’s license with a clean driving record

• Own a smartphone for reporting

• CPR, First Aid, AED certification

Responsibilities:

• Supervise, coach, and support security personnel

• Train and mentor staff on SOPs and safety protocols

• Enforce accountability and discipline

• Conduct shift briefings

• Assists in responses to emergencies

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• PhD or Master’s in ML, CV, NLP, or related field

Experience Requirements:

• 5+ years of experience working on vision or VLMs

• Proven experience applying ML to healthcare documents or medical imaging

Other Requirements:

• Hands-on with PyTorch, HuggingFace, OpenCLIP

• Deep understanding of HIPAA and PHI protection

• Comfortable with RAG pipelines

Responsibilities:

• Research and build state-of-the-art VLM pipelines for medical documents

• Fine-tune or adapt models like BLIP-2, LLaVA, GLaMM

• Develop multimodal grounding strategies for RAG and Agent workflows

• Evaluate models for factuality, safety, and explainability

• Collaborate with product engineers to deploy models at scale

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• MD, DO, or equivalent

Experience Requirements:

• 10+ years of clinical practice

Other Requirements:

• Background in utilization management and health system workflows

• Experience launching digital health or AI solutions

• Familiarity with regulatory standards (CMS, FDA)

Responsibilities:

• Define and champion the clinical vision across the platform

• Lead clinical validation and QA protocols

• Hire, mentor, and lead a clinical organization

• Serve as trusted clinical executive for enterprise customers

• Build a Clinical Governance Framework for AI safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years in SRE/CloudOps roles

Other Requirements:

• Expertise in AWS, Azure, and GCP

• Hands-on experience with Terraform, Kubernetes, and Docker

• Scripting skills in Python, Bash, or Go

Responsibilities:

• Design and manage multi-cloud infrastructure

• Build deployment workflows using Terraform and CI/CD tools

• Define and uphold SLAs/SLOs and incident management

• Implement security controls for HIPAA and SOC2

• Configure AI platform and solutions at customer deployments