Location: Remote (U.S. Based)

 

Job Type: Full-time | Competitive Base + Commission

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Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

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We need hungry, persuasive, revenue-minded SDRs who can think fast, talk smart, and book meetings that matter. If you love the chase, live for the win, and know how to turn cold outreach into hot pipeline, then keep reading. This is the role you’ve been waiting for.

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What You'll Be Doing:

This isn’t just about blasting emails — it’s about building strategic conversations with C-level decision-makers in finance, life sciences, and other regulated industries. Your job? Crack the account. Create the opportunity. And light up the pipeline.

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• Own top-of-funnel: cold calls, emails, LinkedIn DMs—whatever it takes

• Work inbound like a pro — speed and precision wins

• Qualify leads like a surgeon and hand off high-quality SQLs

• Set high-impact meetings and help your AE partners crush quota

• Work the tools: HubSpot, Apollo, LinkedIn Sales Nav (we’ll train you to be dangerous)

• Hit your KPIs like clockwork:

  • 40–50 calls/day

  • $3M+ in pipeline/year

  • SQL-to-Opp conversion that proves you're not just spinning wheels

 

You Might Be a Fit If…

• You’ve got stellar 1–2 years of SDR or BDR experience and can back it up with numbers

• You’re not afraid of the phone (in fact, you kinda love it)

• You’re a CRM monster — HubSpot preferred

• You can spot a buying signal in your sleep

• You’ve prospected into financial services or life sciences and know how to talk the talk

• You want to move FAST into a closing role — you don’t want to be an SDR forever, and we don’t want you to be either

 

Why Caju AI?

We're building something bold: mobile capture + AI insights for regulated industries. Our clients include some of the most security-conscious and heavily regulated companies in the world — and we’re helping them stay compliant, smart, and ahead of the curve.

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This is your chance to:

• Join a rocket ship early

• Get in front of real decision-makers

• Build your brand and your pipeline

• Learn how to sell in complex, high-value environments

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What’s in It for You?

• Competitive base + uncapped commission

• Clear path to AE roles (prove it and promote fast)

• Remote-first culture with serious performance expectations

• Healthcare benefits that take care of you

• A team that wins together — no lone wolves here, but no slackers either

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This isn’t a job — it’s a launchpad. If you’ve got the grit, the goals, and the gift of the gab, hit that apply button. Let’s go build something big.

 

How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "Sales Development Representative Application."

Location: Bratislava Development Office - follows a hybrid work format (onsite & remote)

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Job Type: Full-time

​

Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

​

We are seeking an innovative, motivated, and hungry AI Engineer to join our dynamic team at Caju AI, a fast-growing startup building cutting-edge solutions in Natural Language Processing and agentic RAG (Retrieval-Augmented Generation) pipelines. This role offers the opportunity to work with state-of-the-art technologies, participate in challenging projects, and help shape the future of intelligent automation.

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Responsibilities:

• Develop and optimize NLP / NER solutions for large-scale named entity extraction.

• Build and maintain chatbots for internal data analysis and knowledge retrieval.

• Design and implement semantic search and monitoring for specified entities.

• Architect, build, and deploy agentic RAG pipelines leveraging LangGraph and LangChain.

• Collaborate with team members to deliver high-impact AI solutions.

• Support other AI-related tasks, including hosting on AWS, Lambda API integrations, and more.

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Requirements:

• Bachelor’s or Master’s degree in Software Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

• Proficiency in Python programming language.

• Hands-on experience designing and implementing agentic RAG pipelines (Retrieval-Augmented Generation).

• Strong working knowledge of LangGraph and LangChain frameworks for building advanced language and agentic applications.

• Experience with ML frameworks such as TensorFlow or PyTorch.

• Experience with NLP frameworks like NLTK and spaCy.

• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

• Solid understanding of a broad range of machine learning algorithms, including supervised, unsupervised, reinforcement learning, and neural networks.

• Practical experience with Natural Language Processing (NLP) tasks.

• Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.

• Intermediate+ written and spoken English.

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Optional / Bonus:

• Knowledge of Graph Databases (e.g., Neo4j, Amazon Neptune, etc.).

• Familiarity with ontologies and semantic web technologies.

• Knowledge of Automatic Speech Recognition (ASR) methods.

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Why Caju AI?

• We're building something bold: mobile capture + AI insights for regulated industries.

• Work with a team committed to innovation in AI and NLP.

• Opportunity to make a significant impact in a fast-growing startup.

• Flexible work environment, competitive compensation, and career growth opportunities.

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How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "AI Engineer Application."

Location: Bratislava Development Office - follows a hybrid work format (onsite & remote)

​

Job Type: Full-time

​

Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

​

We are seeking an innovative, motivated, and skilled MLOps Engineer to join our Bratislava R&D Office in a hybrid work format. As part of our fast-growing startup, you’ll help build, deploy, and scale intelligent systems powering advanced NLP and agentic RAG pipelines. You'll collaborate closely with AI Engineers to ensure robust, reliable, and agile machine learning operations.

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Responsibilities:

• Design, build, and maintain scalable MLOps pipelines for NLP and RAG projects.

• Automate data ingestion, model training, evaluation, and deployment processes.

• Collaborate with AI Engineers and Sr Architects, to deliver scalable, reliable and reproducible production ML solutions.

• Integrate LangGraph and LangChain workflows into operational pipelines.

• Manage model versioning, experiment tracking, and production monitoring.

• Optimize resource usage, cost efficiency, and reliability of ML infrastructure.

• Support hosting and deployment on AWS, including Lambda APIs and related services.

• Troubleshoot, document, and continuously improve MLOps processes.

• Ensure compliance with security and data privacy best practices.

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a related field.

• Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow, Prefect).

• Knowledge of LangGraph and LangChain integration workflows.

• Practical experience deploying and managing agentic RAG pipelines in production environments.

• Strong proficiency in Python; experience with containerization (Docker) and orchestration (Kubernetes).

• Familiarity with cloud services (AWS, GCP, or Azure); experience with AWS is a plus.

• Experience building and maintaining CI/CD pipelines for machine learning projects.

• Knowledge of monitoring, logging, and alerting for ML systems.

• Familiarity with version control (Git), code review, and agile development practices.

• Solid understanding of machine learning lifecycle, including data ingestion, model training, validation, deployment, and monitoring.

• Intermediate+ written and spoken English.

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Optional / Bonus:

• Experience with Graph Databases or semantic knowledge graphs.

• Familiarity with ontologies and metadata management.

• Exposure to security practices for ML workflows and data governance.

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Why Caju AI?

• We're building something bold: mobile capture + AI insights for regulated industries.

• Join an innovative team at the forefront of AI and MLOps.

• Make a meaningful impact in a startup environment with rapid growth.

• Enjoy a flexible hybrid work format, competitive compensation, and career development opportunities.

​

How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "MLOps Engineer Application."

Location: Bratislava Development Office - follows a hybrid work format (onsite & remote)

​

Job Type: Full-time

​

Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

​

We are seeking an innovative, motivated, and skilled DevOps Engineer to join our Bratislava R&D Office and play a key role in automating, scaling, and securing our next-generation AI solutions. We are a fast-growing startup focused on NLP and agentic RAG pipelines, and we value engineers who are passionate about infrastructure, automation, and reliability.

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Responsibilities:

• Design, automate, and maintain CI/CD pipelines for AI, ML, and NLP projects.

• Provision and manage scalable, secure cloud infrastructure for development and production.

• Implement robust monitoring, logging, and alerting solutions.

• Support containerized and orchestrated deployments for agentic RAG and NLP workloads.

• Collaborate with AI/MLOps engineers to streamline development and deployment workflows.

• Troubleshoot infrastructure, networking, and deployment issues.

• Document and continuously improve DevOps practices and procedures.

• Ensure security, compliance, and reliability of production systems.

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

• Solid experience with CI/CD pipeline design and implementation (e.g., GitHub Actions, GitLab CI, Jenkins).

• Proficiency in infrastructure-as-code tools (Terraform, CloudFormation, Ansible).

• Hands-on expertise with containerization (Docker) and orchestration (Kubernetes, ECS, EKS).

• Experience managing cloud infrastructure (AWS preferred, GCP or Azure welcome).

• Strong scripting skills (Python, Bash, or similar).

• Understanding of monitoring, logging, and alerting tools (Prometheus, Grafana, ELK Stack, CloudWatch).

• Familiarity with security best practices for cloud and container environments.

• Experience supporting data-intensive and AI/ML workloads.

• Intermediate+ written and spoken English.

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Optional / Bonus:

• Exposure to agentic RAG pipelines, LangGraph, or LangChain.

• Experience with MLOps tooling and workflows.

• Knowledge of Graph Databases or ontologies.

• Certification(s) in AWS, Kubernetes, or DevOps.

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Why Caju AI?

• We're building something bold: mobile capture + AI insights for regulated industries.

• Work at the intersection of AI and modern cloud engineering.

• Be part of a collaborative team driving innovation in NLP and intelligent automation.

• Enjoy a flexible hybrid work format, competitive compensation, and opportunities for professional growth.

​

How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "DevOps Engineer Application."

Location: Bratislava Development Office - follows a hybrid work format (onsite & remote)

​

Job Type: Full-time

​

Caju AI is on a mission to dominate the mobile compliance and AI analytics space—one high-value prospect at a time. We’re already powering capture solutions for global financial giants and top-tier partners like Proofpoint… but we’re just getting started.

​

We are seeking an innovative, motivated, and talented QA Automation Engineer to join our Bratislava R&D Office in a hybrid work format. As a fast-growing AI startup, we build advanced NLP and agentic RAG pipelines, as well as a Customer Engagement platform designed to help regulated organizations analyze communications and customer data for actionable intelligence and business insights. Our platform enforces compliance, supervision, security, and privacy mandates across all communication channels.

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Responsibilities:

• Design, implement, and maintain automated testing frameworks for AI/NLP and Customer Engagement products.

• Develop and execute automated test scripts for APIs, backend services, data workflows, and communication platforms.

• Integrate automated tests into CI/CD pipelines to ensure continuous quality and compliance.

• Collaborate with AI, MLOps, DevOps engineers, and product managers to define quality standards and resolve issues.

• Perform regression, integration, performance, compliance, security, and privacy testing as needed.

• Document test cases, results, and QA processes.

• Troubleshoot failures, analyze root causes, and drive defect resolution.

• Continuously improve test coverage, efficiency, and reliability for both AI and regulated data analysis systems.

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

• Hands-on experience designing and implementing automated test frameworks (e.g., Pytest, Robot Framework, Selenium, Playwright).

• Strong proficiency in Python; experience with other languages (JavaScript, TypeScript, Java) is a plus.

• Knowledge of CI/CD integration for automated testing (e.g., GitHub Actions, Jenkins, GitLab CI).

• Experience testing APIs, backend services, and microservices.

• Familiarity with testing data-driven, ML/AI systems, and communication platforms.

• Understanding of QA best practices, test planning, and documentation.

• Ability to write clear, maintainable, and reusable test scripts.

• Experience with testing for compliance, security, and privacy requirements.

• Experience with mobile apps testing.

• Intermediate+ written and spoken English.

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Optional / Bonus:

• Experience with agentic RAG pipelines, LangGraph, or LangChain.

• Familiarity with cloud environments (AWS, GCP, Azure).

• Exposure to MLOps, DevOps, or AI/ML deployment workflows.

• Knowledge of performance, security, and load testing tools.

• Experience testing enterprise communication, supervision, or compliance platforms.

​

Why Caju AI?

• We're building something bold: mobile capture + AI insights for regulated industries.

• Be part of a collaborative, innovative AI startup building impactful solutions for regulated industries.

• Contribute to high-impact projects powering intelligent automation, compliance, and business insights.

• Flexible hybrid work format, competitive compensation, and growth opportunities.

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How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "QA Automation Engineer Application."

Location: Remote

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Job Type: Full-time

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Job Description: We are seeking a highly skilled and motivated Global Support Engineer to join our team. The ideal candidate will provide technical support and solutions to our global customer base, ensuring their success with Caju AI's SaaS products.

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Responsibilities:

• Provide technical support to customers via phone, email, and remote sessions.

• Troubleshoot and resolve technical issues related to Caju AI's SaaS products.

• Collaborate with cross-functional teams to ensure timely resolution of customer inquiries.

• Develop and maintain support documentation and training materials.

• Assist in the deployment and configuration of Caju AI's solutions.

• Monitor and report on support metrics and customer feedback.

• Participate in on-call rotation to provide 24/7 support.

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Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.

• 3+ years of experience in technical support or a similar role, preferably in a SaaS environment.

• Strong problem-solving skills and ability to work under pressure.

• Excellent communication and interpersonal skills.

• Proficiency in AI Prompt Engineering, SQL and RegEx.

• Ability to work independently and as part of a team.

• Willingness to travel occasionally for on-site support.

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Preferred Qualifications:

• Experience with SaaS products and cloud technologies.

• Multilingual skills are a plus.

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Benefits:

• Competitive salary and benefits package.

• Opportunities for professional growth and development.

• Flexible work environment.

• Health insurance.

• 401K retirement plan with company match.

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How to Apply: Please submit your resume and cover letter to hr@caju.ai with the subject line "Global Support Engineer Application."