Jobs

We are building Workeron AI - a company that creates "digital employees" based on AI agents. Our solutions help the founder, CEO, COO, CMO, and other roles work in conjunction with a family of agents instead of endlessly scaling staff.

We are looking for a strong Senior Product Owner / Product Manager who will take the agent direction from zero to product market fit: from hypotheses and experiments to first stable sales and scaling.

What you will be doing

• Building a product in the world of AI agents
• Bringing product hypotheses to results:
  • Formulating ICP and value proposition
  • Describing product hypotheses and metrics
  • Launching quick experiments (landing pages, pitches, demos, pilots)
  • Collecting feedback and money
• Working closely with the CEO, CMO, and engineers:
  • Decomposing ideas into product version / V0
  • Prioritizing features and tasks in the backlog
  • Balancing between custom agents and scalable solutions
• Building and testing monetization:
  • Developing tariffs and package offers (buy agent, custom agent, rent agent, subscription)
  • Calculating unit economics, CAC, LTV, payback
• Setting up product analytics for the funnel: awareness - interest - demo - paid pilot - MRR
• Forming a database of insights on the market and competitors for AI agents and "digital employees"

• Preparing product materials: one-pager, presentations, scripts for sales, requirements for marketing and traffic

   

What is critically important for us

• 5+ years of experience as a Product Owner / Product Manager in b2b SaaS, services, or complex digital products
• Real experience in bringing a product from scratch or pre-MVP to first sales / product market fit
• Ability to work in short cycles: 2-3 weeks for one hypothesis from idea to a clear result
• Strong skills in customer development and selling hypotheses through interviews, demos, pilots
• Ability to write clear product specifications and convert them into tasks for the dev team
• Readiness to work hands-on with AI tools: ChatGPT, Claude, Midjourney, no-code / low-code, analytics, etc.

• English not lower than Upper Intermediate - some clients and sources will be English-speaking

   

A plus would be

• Experience in AI products, agent systems, automation, no-code / low-code
• Working in early-stage startups, preferably in b2b

• Interest in the topic of "digital employees", the future of work and automation

   

How we work

• Format: remote, full-time, direct work with the CEO
• Work framework: short product sprints of 2-4 weeks with clear goals

• Compensation level: a combination of fixed + results-based bonus, an option is also possible after achieving key milestone

   

Within 1 month we expect from you:

• 3 priority product hypotheses for agents under specific roles are formulated and described
• For 1 priority hypothesis:
  • There is a V0 product
  • Real demos have been conducted and first pilots have been launched
  • There are first payments or clear reasons for refusal and a plan for the next iteration

• A set of insights on ICP and pain points has been collected and structured, based on which we make a decision: strengthen the hypothesis, pivot, or kill it

   

How to apply

Write briefly:

• A couple of lines about yourself and your product experience
• One example of a product that you personally brought from idea to sales (what was it, what were the numbers)
• Why you are interested in the topic of AI agents and digital employees

     and attach your resume or a link to LinkedIn.

🚀 𝗪𝗲’𝗿𝗲 𝗵𝗶𝗿𝗶𝗻𝗴 𝗮 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿

📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Zagreb, Croatia
🏢 𝗪𝗼𝗿𝗸 𝘀𝗲𝘁𝘂𝗽: Hybrid in Zagreb

We’re looking for a 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 to help scale our social product and drive the next stage of growth.

🎯 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Define product strategy and manage the product roadmap
• Analyze user behavior and make data-driven decisions
• Prepare clear and structured product requirements
• Prepare requirements for mobile application development
• Act as a bridge between stakeholders and the development team
• Work closely with engineering, design, marketing, and analytics teams

✅ 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀
• Strong Product Manager experience (ideally Social Media)
• Deep understanding of product metrics (retention, activation, engagement)
• Experience working with cross-functional teams
• Strong English communication skills

💎 𝗡𝗶𝗰𝗲 𝘁𝗼 𝗵𝗮𝘃𝗲
• Experience at FAANG or major social media companies
• Experience launching and scaling international products
• Understanding of UX/UI principles

🎁 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀
• Relocation support with housing assistance
• Lunch allowance & Multisport card
• Apple equipment provided
• Language courses covered by the company
• Modern office with a great mountain view
• Snacks, drinks, and seasonal fruits in the office
• Team social events and treats 🎉

🌍 𝗧𝗲𝗮𝗺
International team with experience in global tech companies, with hubs in New York and Zagreb.

📄 𝗘𝗺𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
Official employment under Croatian law.

🧩 𝗛𝗶𝗿𝗶𝗻𝗴 𝗣𝗿𝗼𝗰𝗲𝘀𝘀
Initial Interview → CPO Interview → Stakeholder Interview → Offer 🎉

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
 

This is the job

We are looking for an AI/ML Engineer to design, develop, and deliver a Proof-of-Concept (PoC) system that validates the use of Distributed Acoustic Sensing (DAS) and Automatic Identification System (AIS) data for detecting intrusions near subsea communication cables.

The solution will analyze acoustic signals from fiber-optic sensing systems together with vessel tracking data to identify potential threats to critical underwater infrastructure. The goal is to provide early warning capabilities, enabling timely intervention and protection of subsea assets.

This is you

• Strong experience in Machine Learning / AI development
• Strong programming skills in Python
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Experience working with time-series data or signal processing
• Experience building ML pipelines for data processing and model training
• Knowledge of anomaly detection and pattern recognition techniques
• Strong analytical and problem-solving skills
• Good communication skills and ability to work in a distributed team

This is your role

• Design and develop machine learning models for analyzing DAS acoustic signals and AIS vessel tracking data
• Build a PoC system for intrusion detection around subsea communication cables
• Develop data processing pipelines for large-scale sensor and geospatial data
• Implement algorithms for anomaly detection and event classification
• Integrate multi-source data (DAS + AIS) for improved detection accuracy
• Perform data exploration, feature engineering, and model evaluation

We’re hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by LLMs. This role is for someone who has already shipped agentic systems, can architect multi-step reasoning pipelines, and knows how to make RAG reliable through evaluation, while optimizing cost at scale and addressing real-world failure modes.

What you’ll be responsible for

• Building and operating autonomous AI agents in production
• Designing multi-step reasoning pipelines (planning, tool-use, orchestration)
• Implementing RAG systems end-to-end and setting up evaluation to measure and improve quality
• Driving LLM cost optimization at scale (model selection, routing, caching/batching strategies, usage controls)
• Identifying and mitigating failure modes in AI systems (hallucinations, retrieval issues, tool errors, cascading failures)
• Designing multi-agent coordination patterns (specialized agents, handoffs, routing, communication protocols)
• Delivering these systems as cloud-native services (scalable, observable, resilient)Requirements (must-have)
• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG + evaluation (testing, metrics, and iterative improvement)
• Experience optimizing LLM costs at scale
• Strong understanding of AI system failure modes and practical mitigation approaches
• Experience with multi-agent coordination
• Experience building cloud-native systems (reliability, monitoring, scalable deployment)

About the Company:

Our client is a San Francisco-based cybersecurity startup helping organizations secure and manage sensitive data. Their AI-powered platform discovers, classifies, and protects sensitive data across cloud apps, infrastructure, and internal systems, preventing leaks and ensuring compliance.

About the Product:
The first AI-native data leak prevention (DLP) solution, designed for modern enterprises. It protects sensitive data across SaaS, email, endpoints, and AI tools with high accuracy and minimal disruption. The Developer Platform allows flexible integration of data protection capabilities.

About the Role:
As a Backend Engineer, you’ll build low-latency, real-time microservices for detecting sensitive data. This team focuses on data exfiltration prevention on endpoints (MacOS or Windows), developing core platform features using deep OS-level knowledge.

Requirements:

• Minimum 5+ years of related work experience.
• Expertise in one of the following: Objective-C, Swift on MacOS or C/C++ on Windows.
• Demonstrable expertise in developing agents on one of MacOS or Windows:
• On MacOS, practical development experience with Endpoint Security System Extension is required. A plus will be knowledge of IOKit and of MacOS VFS model.
• On Windows, practical development experience with WDF (Windows Driver Frameworks), filter drivers and familiarity with user mode apps is required.
• Readiness to learn other systems languages (e.g. Rust, Go, Python). Prior experience in one of these languages is a definite plus.
• Experience with kernel-level debugging processes and tools. Ability to use reverse engineering techniques and debugging of kernel space code.
• Ability to decompose complex business problems and own them end to end across teams.
• Upper-Intermediate English.

Responsibilities:

• Designing and developing data exfiltration prevention apps, drivers, system extensions and services on MacOS or Windows.
• Maintaining and evolving mission-critical agents on endpoints.
• Own complex features from design to delivery and troubleshoot issues from customers.
• Designing and building secure software with cross-platform deliverables (Windows, MacOS).

• Writing and maintaining documentation about internal and public services.
   

   

What we offer:

• Long-term employment with competitive compensation, based on experience.
• Possibility to work remotely.
• An open, transparent and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

And now we are looking for a ML Operations Engineer to join us as part of our team.

About the role:

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

We are seeking an experienced and innovative engineer to expand and drive our Data Science and Machine Learning efforts in the EU and Ukraine.

Team setup: 1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
• Design and deliver tasks end-to-end with little guidance from Senior team members
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.

• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

   

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience)
• 3+ years of experience in hands-on development and deployment of Machine Learning algorithms and services
• 3+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 3+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 50% of:
  PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery, with practical understanding of containerization technologies such as Kubernetes and Docker
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools.
• Good problem-solving skills with a focus on innovation, efficiency, and scalability in a global context.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently

• Experience working across multiple development teams is a plus

   

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.

• Java programming experience is a plus.

   

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)

Tango is a successful, marketleader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. 

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans and monetize their talents.

Tango live stream was founded in 2018 and is powered by 300+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”. 

The best way to describe Tango's work style is not to use the word “impossible”. And we believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).  

Responsibilities

• Development and support of SPA on ReactJS: web version mobile-first of a high-load application, admin panels for internal use, and marketing pages
• Collaborate with other teams to effectively meet the product and technical needs of the project
• Proactively participate in improvements and existing solutions tuning
• Share expertise and knowledge with your teammates

Requirements

• At least 5 years of commercial experience in development in JS (ES6+)/Typescript
• Strong knowledge of CSS, HTML5, SASS, Jest
• At least 2 years of commercial experience in development in with ReactJS version 16+ (hooks)
• Experience with state management frameworks: Redux and Redux toolkit preferred
• Intermediate English

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social package, including sports coverage, elite medical insurance for you and family;
• 20 working days paid vacation and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place.

About Us

We are a fast-growing company operating in different markets. Our mission is to build long-term partnerships with affiliates by providing top-converting offers, fair conditions, and full transparency.

What You Will Do

Drive acquisition via PPC & SEO affiliate sources (focus on Tier-1 & Tier-2 GEOs).

Manage and grow affiliate relationships, optimize ROI across campaigns.

Analyze traffic performance (CR, ROI, LTV, Retention) and identify scaling opportunities.

Collaborate with our in-house marketing & product teams to launch exclusive promotions and custom landing pages.

Test new traffic strategies with dedicated budget freedom.

What We Offer (closing industry pains)

Transparent & on-time payments — no hidden fees, no delays.

Top-converting casino brands with fresh, exclusive offers — not the “burnt out” ones.

Full freedom & trust to work with your PPC & SEO strategies (while respecting compliance).

Dedicated testing budget — we invest in experiments, not block them.

Access to real data — CR, FTD, LTV, retention metrics, not just “empty dashboards”.

Performance-based bonuses — you DELIVER - you EARN.

Career development — direct path to Leading position for proven performers.

Requirements

2+ years of experience in affiliate management in iGaming (casino vertical preferred).

Strong expertise in PPC (Google Ads, UAC, native, etc.) and SEO traffic sources.

Proven track record of scaling affiliate campaigns with measurable ROI.

Negotiation skills, strategic thinking, and ability to work independently.

Good English (other languages are a plus).

We’re looking for a Senior Backend Engineer with Java, Python, and Golang skills to join our team.

Our client is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection.

Our team is responsible for the backend part for the main product line  - securing tens of millions of devices across the globe of all kinds of OS (Windows, Linux, macOS), and processing billions of security events every day.

You'll be joining a team with a significant impact on how our customers' environments (incl. 4 of Fortune10 companies, hundreds of Global2000 or governments) are protected, how they interact with agents, gain visibility into their security posture, and understand the risks and act upon them.

What will you do?
Design, develop and support backend system serving for endpoint security
●      Help us with initiatives around moving our services to a new deployment model.
●      Tuning and adjusting our services to work with new CPU architectures.
●      Improving the observability for our services.

• Requirements: 
  5+ years of extensive software engineering experience, including proven expertise in developing large-scale distributed systems and microservices architecture, with a focus on performance, scalability and reliability
• Proficiency in Java
• knowledge of Golang and Python 
• Experience with cloud platforms (AWS and/or GCP) and Kubernetes (must)
• Experience with Kafka or similar solutions is a plus

We are seeking a highly skilled Bare Metal Engineer with strong low-level programming expertise and hands-on experience working directly with hardware. The ideal candidate will design, develop, debug, and optimize firmware and embedded systems without reliance on operating systems.

Required Qualifications:

Education

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.

Experience

• 5+ years of experience in embedded systems or bare-metal development.
• Proven experience working without operating systems (no RTOS/Linux abstraction layers).
• Experience bringing up new hardware boards from scratch.

Technical Skills:

Programming

• Expert-level proficiency in C (mandatory).
• Strong experience with C++ (preferred).
• Assembly language experience (ARM, RISC-V, or similar architectures).
• Experience writing linker scripts and startup code.

Hardware & Architecture

• Deep understanding of microcontrollers (ARM Cortex-M/A, RISC-V, etc.).
• Experience with peripherals (SPI, I2C, UART, CAN, USB, GPIO, DMA, ADC).
• Strong knowledge of memory-mapped I/O and interrupt handling.
• Experience reading and interpreting hardware datasheets and schematics.

Debugging & Tools

• JTAG/SWD debugging experience.
• Familiarity with tools such as:
  • GDB
  • OpenOCD
  • Logic analyzers
  • Oscilloscopes
• Experience with cross-compilation toolchains (GCC, Clang).
• Build systems (Make, CMake).

System-Level Knowledge

• Bootloaders and startup sequence development.
• Low-level memory management.
• Performance optimization in resource-constrained systems.
• Power management techniques.
• Knowledge of CPU architecture and instruction pipelines.

Preferred Qualifications

• Experience with secure boot and hardware security modules.
• Experience with automotive (AUTOSAR), IoT, or industrial systems.
• Familiarity with FPGA interfacing.
• Experience with safety standards (ISO 26262, IEC 61508).
• Prior experience in silicon bring-up.

Soft Skills

• Strong problem-solving and analytical skills.
• Ability to debug complex hardware-software interactions.
• Strong documentation skills.
• Ability to work closely with hardware engineers.
• Self-driven and able to work independently.

Key Responsibilities

• Develop and maintain bare-metal firmware.
• Bring up new hardware platforms.
• Optimize system performance and memory footprint.
• Write device drivers from scratch.
• Conduct hardware-level debugging and validation.
• Collaborate with hardware, FPGA, and system teams.
• Review code and enforce best practices.

Deliverables

• Production-ready firmware.
• Hardware bring-up reports.
• Technical documentation.
• Test and validation plans.

Job Description

The ideal candidate will have:
10+ years of total development experience.
5+ years of development experience with the .NET platform.
1+ years of structured JavaScript development experience.
Experience with .NET, Microservices, Cloud services, Domain Driven Development, SPA.
Strong knowledge of software development best practices and techniques (Design Patterns, Code Review, Code Refactoring, etc.).
Problem-solving attitude.
Azure expertise.
Excellent debugging, coding and design skills.
Bachelor's degree in Computer Science or equivalent.
Demonstrated ability to come up-to-speed quickly on a new technical domain/product area.
Excellent written and verbal communication skills.
Upper-Intermediate spoken and written English.

Job Responsibilities

Development of complex cloud applications.
Drive architectural service executions such as Discovery and Assessment.
Understanding of business and technical requirements for the project.
Facilitate all stakeholders cooperation to define and prioritize architectural drivers for the solution.
Define architecture strategies, standards, processes, technologies, and tools in architecture visions.
Drive or assist in solution implementation estimation and roadmap construction.
Consult development teams on adherence to standards in solution design, development, and testing.
Providing technical leadership and support to software development teams.
Maintain high standards of software quality.
Participating in the code review process.
Analysis and resolving technical and application problems.
Leverage technologies to support business needs to attain high reusability and maintainability of current and newly developed systems.
Provide system design recommendations based on technical requirements.
Drive and participate in functional design.
Engineering excellence.
Become a subject-matter expert on a broad area of the product.

Department/Project Description

The client is a global technology-enabled services company dedicated to advancing the world of veterinary medicine and empowering veterinary practices. They are bringing together products, services, and technology into a single platform that connects the customers to the solutions and insights they need to work best. There are a set of long-standing veterinary software systems, with more than 20,000 veterinary practices in the U.S., Canada, UK/Europe, and Australia.

The project is a Next-generation Cloud platform that emerges from all existing software systems to provide a truly global open platform.

- Technical Solution

GL team works on the migration of the existing legacy system approaching rebuild strategy and develops a completely new solution for practice management and operations including microservices, Front-end and integration layers.

- Architecture

Event-driven approaching Microservices implementation.

- Technical Challenges

Integration with existing customer’s systems and services.

Strangling of the existing legacy system which is a subject of migration.

Large scale project with several development teams across several geographies.

The process is SAFe (Scaled Agile Framework) with good support of internal tools and well-established Scrum events. A lot of verbal and written communication with US team members.

Technologies

.NET Core, ASP.NET Core, Azure App Services, Azure Functions

Angular, TypeScript, Single SPA

Azure SQL, MongoDB, Elasticsearch, Azure Service Bus, Apache Kafka, Auth0

• Project Description:

  We are embarking on a critical initiative to achieve ISO 81001 compliance for our esteemed client. ISO 81001 is a pivotal standard for health informatics, specifically focusing on the management and security of health information systems. This project aims to ensure Client's digital infrastructure aligns with the stringent requirements set forth by ISO 81001, safeguarding sensitive healthcare data and bolstering cyber resilience.

   

• Responsibilities:

  Conduct a thorough assessment of Client's existing IT infrastructure, policies, and procedures against ISO 81001 requirements.
  Identify gaps and vulnerabilities that need to be addressed to achieve compliance.
  Collaborate with cross-functional teams to design and implement robust security controls aligned with ISO 81001 standards.
  Deploy necessary security measures to protect Client's health information systems and data assets.
  Draft and enhance security policies, procedures, and guidelines tailored to ISO 81001 specifications.
  Ensure policies are communicated effectively and integrated into Client's operational framework.
  Perform risk assessments and develop risk management strategies to mitigate cyber threats and vulnerabilities.
  Implement proactive measures to enhance Client's cyber resilience in alignment with ISO 81001.
  Conduct training sessions and workshops to enhance cyber security awareness among Client staff.
  Foster a culture of security consciousness and best practices across the organization.
  Establish monitoring mechanisms to track ongoing compliance with ISO 81001 requirements.
  Conduct regular audits and assessments to ensure sustained adherence to security standards.
  Develop incident response protocols and procedures to swiftly address and mitigate security incidents.
  Continuously assess and refine security strategies based on emerging threats and industry developments.

   

• Mandatory Skills Description:

  Bachelor's degree in Cyber Security, Information Technology, or a related field.
  Proven experience in cyber security, particularly in compliance initiatives (ISO standards preferred).
  Strong understanding of health informatics and data security within healthcare environments.
  Excellent analytical skills with the ability to assess complex systems and processes.
  Effective communication skills to engage stakeholders and drive security initiatives forward.

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all EU/LATAM countries with overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll lead the initial setup of our DevOps and platform engineering practices
• You’ll design and deliver an internal platform for personal or feature environments to boost developer velocity
• You’ll build and maintain AWS-based infrastructure for performance, scale, and security
• You’ll build CI/CD pipelines and automate release processes end to end
• You’ll implement observability tooling (logging, monitoring, alerting) to detect and resolve issues early
• You’ll collaborate with developers to remove bottlenecks and improve reliability
• You’ll ensure high availability through monitoring, incident response, and recovery strategies
• You’ll drive Infrastructure as Code best practices and infrastructure automation
• You’ll document systems and processes for clarity and reproducibility

What sets you up for success

• Hardcore work ethic and high agency
• 10+ years experience overall OR 5+ years deep AWS-focused engineering experience
• Deep expertise across AWS (EC2, ECS/EKS, RDS, IAM, networking, etc.)
• Strong experience with IaC (Terraform, CloudFormation)
• Strong command of CI/CD (GitHub Actions, Jenkins, similar)
• Experience with Docker, Kubernetes, and modern deployment workflows
• Hands-on experience with observability tools (Prometheus, Grafana, Datadog)
• Comfortable building systems from scratch with high autonomy
• Time zone flexibility to support partial 24-hour coverage
• Pragmatic, hard-working, curious, and high-velocity by default

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Compensation & Benefits

• Base Salary: $100–$165K
• Equity: ~$50K
• Contract type: B2B
• Remote-first team — the fastest team you will have ever worked with
• Visa sponsorship option for relocation to NYC within 2+ years
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone
• Plus, wellness perks and more to make your workday even better!
   

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a seismic shift like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll do this decade.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams.

We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

ThirstySprout is the exclusive recruiting partner for this role. We represent a leading global travel technology company that has raised over $750M in funding and serves hundreds of millions of travelers worldwide. Their B2B division powers AI-driven travel and fintech solutions for major airline, hospitality, and financial services brands. This team operates at Series A speed inside that larger organization — high ownership, fast iteration, and AI-native engineering culture.

About the Team

The Customer Experience (CX) Product team owns the entire post-booking journey — from the moment a trip is booked through changes, disruptions, refunds, and customer support interactions.

The team builds and operates the systems that enable fast, high-quality support at scale, including customer self-serve experiences within the app and partner-integrated flows, internal agent platforms for efficient human resolution, and a flagship agentic AI platform used both internally and offered as a B2B solution for global travel partners.

Together, these platforms support millions of travelers across chat, voice, web, and third-party channels, powering seamless post-booking experiences worldwide.

About the Role

As a Forward Deployed Engineer —  on AI Voice & Chat Platform team, you’ll combine engineering depth with customer-facing collaboration, embedding directly with partners to design, implement, and iterate on AI-driven service automation — from API integration across telephony, CRM, and travel supply systems to LLM prompt design, testing, and ongoing optimization.

This role bridges applied AI engineering, field deployment, and partner co-creation. It’s key to scaling the next generation of autonomous service technology for the travel industry.

Key Responsibilities

Platform Operations

• Configure and maintain AI assistant deployments across partner environments, including conversational flows, LLM prompt management, and system orchestration
• Conduct user acceptance testing (UAT) and regression QA for voice/chat bots — measuring and tracking accuracy, latency, and conversational quality
• Monitor operational health through analytics and logging tools; identify issues and coordinate fixes with Product and Core Engineering
• Contribute to the design of self-serve configuration capabilities for partners

Partner Integration & Enablement

• Support technical and operational onboarding for new partner integrations, including telephony (Twilio, Amazon Connect, Genesys, Five9, Avaya), CRM/ticketing (Salesforce, Zendesk, ServiceNow), and travel inventory platforms (PMS, GDS, CRS)
• Work hands-on with partner engineers to implement and validate platform capabilities and best practices
• Maintain strong relationships with external and internal stakeholders to ensure satisfaction, adoption, and continuous improvement

Data, Quality & Continuous Improvement

• Define and track performance metrics including conversation accuracy, escalation frequency, latency, and adherence to partner policies
• Design experiments and analyze conversation data using SQL, Python, and other tools to identify trends and performance gaps
• Contribute to prompt engineering and test new conversational behaviors to ensure the assistant meets partner brand tone and expectations

System Architecture & Workflow Automation

• Understand and document how telephony, CRM, and AI components interconnect; identify risks and opportunities for optimization
• Build and maintain automation scripts and tools to streamline implementation and monitoring
• Ensure robust data governance, version control, and documentation for all integrations

Cross-Functional Collaboration

• Serve as operational liaison between Product, AI Engineering, and operational teams
• Act as incident manager during outages or performance issues — swift triage, communication, and resolution
• Support roadmap planning with data-backed insights into feature adoption, partner feedback, and operational pain points

Minimum Qualifications

• Hands-on experience with APIs, JSON, SQL, and Python for data manipulation, workflow validation, and automation
• Understanding of LLM-based systems, prompt design, and conversational AI testing methodologies
• Familiarity with voice synthesis and ASR technologies (e.g., ElevenLabs, Whisper, Deepgram, OpenAI Realtime)
• Knowledge of cloud telephony / CPaaS providers (e.g., Twilio, Amazon Connect, Genesys, Avaya, Five9)
• Experience with CRM and ticketing systems (Salesforce, Zendesk, or equivalent) and their connection to voice/chat workflows
• Bias for action — autonomous, takes initiative to research problems, find solutions, and communicate with stakeholders
• Excellent written and verbal communication skills in English
• Ability to travel to the United States (~15–20%) for partner engagements

Preferred Qualifications

• Technical and operational knowledge of the travel technology ecosystem — GDS systems (Amadeus, Sabre, Travelport), hotel PMS/CRS platforms, OTA partner APIs for flights, hotels, and ancillary products
• Experience in a Forward Deployed, Solutions Engineering, or Applied AI implementation role
• Experience implementing contact routing, IVRs, and customer journey flows using technologies like NICE IEX, Amazon Connect, or Kustomer
• Prior experience with AI chatbot/voicebot operations and/or B2B SaaS integrations
• Demonstrated ability to manage complex partner integrations from kickoff through steady-state support
• Proficiency with operational tools such as Jira, Confluence, Amplitude, Datadog
• Deep subject matter expertise in customer service operations
• Ability to create compelling data visualizations that communicate complex insights clearly 

ThirstySprout is the exclusive recruiting partner for this role. We represent a leading global travel technology company that has raised over $750M in funding and serves hundreds of millions of travelers worldwide. Their B2B division powers AI-driven travel and fintech solutions for major airline, hospitality, and financial services brands. This team operates at Series A speed inside that larger organization — high ownership, fast iteration, and AI-native engineering culture.

About the Team

The Customer Experience (CX) Product team owns the entire post-booking journey — from the moment a trip is booked through changes, disruptions, refunds, and customer support interactions.

The team builds and operates the systems that enable fast, high-quality support at scale, including customer self-serve experiences within the app and partner-integrated flows, internal agent platforms for efficient human resolution, and a flagship agentic AI platform used both internally and offered as a B2B solution for global travel partners.

Together, these platforms support millions of travelers across chat, voice, web, and third-party channels, powering seamless post-booking experiences worldwide.

About the Role

As a Software Engineer on the CX Platform team, you will design, build, and evolve the core systems behind the company’s post-booking experience. Your work will directly impact customers, internal support agents, and the continued expansion of the AI-driven voice and chat platform.

You’ll collaborate closely with Product, Design, AI, Data, and Operations partners to deliver intelligent, scalable customer service systems — including conversational AI workflows, self-service customer journeys, internal tools used by thousands of agents, and infrastructure that enables partner-specific experiences.

You’ll report to a Senior Engineering Manager and work alongside engineers focused on platform services, integrations, AI orchestration, and self-service UX.

Day-to-Day

• Design, build, and improve backend and/or full-stack systems that power the AI assistant platform, internal agent tools, and customer self-serve flows

• Develop scalable APIs, microservices, and orchestration logic supporting complex post-booking journeys across AI, chat, voice, and web

• Partner with product, design, AI, and operations teams to deliver features that streamline customer experiences and enhance agent efficiency

• Integrate with external systems such as telephony, CRM, identity, or booking platforms to support both internal use cases and partner deployments

• Own features end-to-end — from technical design through implementation, testing, deployment, monitoring, and iteration

• Contribute to architectural decisions, code reviews, reliability improvements, and ongoing enhancements to engineering best practices

• Analyze system performance and user behavior to identify opportunities for automation, optimization, and cost reduction

Minimum Qualifications

• 3+ years of experience in software engineering, ideally building large-scale distributed systems or customer-facing applications

• Strong technical background with modern frontend and backend development, distributed systems, APIs, and cloud infrastructure

• Experience designing, building, and maintaining RESTful APIs, microservices, or event-driven systems

• Experience with databases (PostgreSQL, MySQL, NoSQL) and cloud platforms (AWS, GCP, or similar)

• Ability to break down complex problems, make pragmatic tradeoffs, and ship iteratively

• Strong communication skills and comfort collaborating with cross-functional teams

• Hands-on experience with AI coding tools and a demonstrated ability to integrate them effectively into your workflow

Preferred Qualifications

• Experience with conversational AI, LLM orchestration, or automation systems

• Experience building AI-first products (not just using AI as tooling)

• Experience building customer service, CRM, telephony, contact center, or workflow automation tools

• Familiarity with Scala/Python, React, TypeScript, or modern frontend frameworks

• Experience integrating with external systems (telephony APIs, identity providers, payment gateways, CRMs)

• Knowledge of travel industry technologies (PSS/GDS, hotel PMS/CRS) is a plus