Jobs AI

We expect you are

You’re a proactive team player who loves exploring new tools, services, and approaches to make your work even better. You take ownership of your projects, don’t wait for instructions, and thrive without micromanagement. Challenges excite you, not intimidate you - you see them as opportunities to learn and improve. You communicate openly, collaborate smoothly with others, and genuinely care about delivering great results.

What will you be responsible for

• Design and produce engaging video and visual content for Clario apps (iOS and Android) and new mobile products, primarily using AI creative tools.
• Collaborate daily with the marketing team to discuss acquisition results, marketing metrics, and campaign performance. Bring fresh ideas and AI-driven approaches to improve results.
• Work side by side with Creative Producer on high-performing creatives.
• Analyze campaign data to understand how your AI-generated content impacts performance and apply insights for continuous improvement.
• Develop variations of successful creatives based on analytics and testing.

What you need for this position

• 2+ years of commercial experience in 2D animation or video editing
• Strong proficiency in Adobe After Effects for motion design and animation
• Basic knowledge of Figma
• Experience creating effective video creatives for Meta, TikTok, and Google with a focus on performance and engagement
• Hands-on experience using AI tools in daily workflows e.g. Kling, HeyGen, Sonovid, platforms like Loveart or Higgsfield or similar)
• Solid understanding of animation and video editing principles, including composition, timing, and sound integration
• Ability to combine visuals, motion, and sound into engaging video content
• Ownership mindset with readiness to take responsibility and contribute to product outcomes
• Understanding of marketing metrics (experience working with performance data is a plus)
• Ability to quickly move from concept to execution, test hypotheses, and iterate based on data
• Data-driven, results-oriented mindset
• Strong self-organization and time management skills

Nice to have

• Familiarity with prompt engineering and understanding how to structure prompts for different AI tools to achieve realistic outputs

Hiring Process

Stage 1: Interview with HR
Stage 2: Technical assignment
Stage 3: Interview with Team Lead

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

Key Responsibilities

• Utilize AI-driven design tools and generative platforms (Figma AI, v0, Midjourney, Galileo, Claude) to brainstorm, wireframe, and prototype UI concepts at unmatched speed.
• Translate business requirements and complex functional needs into intuitive, visually engaging UI/UX designs that simplify information and enhance user trust.
• Design, refine, and maintain scalable, multi-platform Design Systems and component libraries in Figma, maintaining style guides and ensuring seamless developer handoffs.
• Conduct user research, map out user flows, and perform usability testing to track UX metrics (e.g., task success, feature adoption) and validate design decisions.
• Collaborate closely with frontend developers to ensure accurate design implementation, maintaining consistency in design language across web and mobile platforms.
• Work with the product team to optimize user journeys, focusing on accessibility, micro-interactions, and visual engagement in an EdTech and learning environment.

Requirements

• 5+ years of proven experience as a UI/UX, Product, or Interaction Designer across web and mobile application platforms.
• Hands-on proficiency integrating AI workflows into daily design practices (generative image creation, AI-assisted wireframing, prompt-driven UI generation, and user journey synthesis).
• Mastery of design and prototyping tools, primarily Figma (Auto Layout, Variants, Variables, Design Systems, Interactive Prototyping) or Sketch/Adobe XD.
• Strong understanding of responsive design, accessibility standards (WCAG), and ethical design practices.
• Solid understanding of front-end capabilities (HTML5, CSS3/Tailwind, basic JavaScript/Vue/Nuxt) to ensure realistic, developer-friendly design handoffs.
• Strong portfolio demonstrating end-to-end UX research, wireframing, high-fidelity UI design, and design system engineering.
• Language: Full professional proficiency in English (B2+).

Nice-to-Have

• Strong portfolio demonstrating experience in educational platforms, SaaS, or video-based e-learning products.
• Experience creating web assets or interactive prototypes using Webflow, Framer, or low-code builders.
• Knowledge of visual design for paywalls, onboarding flows, and conversion rate optimization (CRO) mechanics.
• Experience designing for AI-native product interfaces (chat interfaces, prompt canvases, generative feedback states).

We are looking for a Head of Engineering / CTO with strong engineering experience, product vision, and practical AI expertise to join our client’s team and lead the technical development of their in-production cybersecurity platform.

What Matters to Us

• Hands-on Technical Leadership. You can lead and mentor a team while staying close to the architecture and code. You know how to evolve a live, paying product without breaking production.
• Agentic Development Culture. You actively use and champion AI coding agents and automation workflows. You know how to equip a lean team with AI tools so we can ship at the speed of a much larger organization.
• Fast Product Experimentation. You connect technology to business metrics. You know how to quickly test hypotheses, roll out lean features to real users, measure impact, and iterate fast.
• Applied AI Engineering. You have practical experience building production features with LLMs, AI agents, and automation—balancing output quality, latency, token unit economics, and strict data privacy.
• System & Stack Proficiency. Solid background in JS/TS, Python, modern databases, cloud infrastructure, and enterprise integrations (M365, Google Workspace, SSO/SCIM). You know when to build custom solutions vs. use ready-made services or low-code.
• Security & Enterprise Trust. Selling a cybersecurity product requires a rock-solid platform. You understand multi-tenant data isolation, Zero-Trust principles, and compliance standards (SOC 2, ISO 27001, GDPR, EU AI Act).
• Broad Ownership. In a lean team, you wear multiple hats—comfortably switching between system architecture, DevOps/cloud costs, enterprise security calls with clients, and day-to-day delivery.

Your Focus

• Velocity & Agentic Workflows: Maintaining an AI-first engineering process that maximizes the speed and quality of our lean team.
• Product Experiments & AI Features: Building and testing new AI-driven simulations, coaching workflows, and risk analytics to drive revenue growth.
• Architecture & Reliability: Keeping our production platform secure, scalable, and cost-efficient as our customer base grows.
• Business & Enterprise Support: Partnering with founders on product strategy, roadmap, and technical due diligence with enterprise customers.

Nice to Have

• Experience in Cybersecurity, B2B SaaS, or EdTech / Security Awareness.
• Track record of scaling a post-revenue product with a small team.
• Experience passing SOC 2 / ISO 27001 audits or enterprise CISO security reviews.
• Your own founder or startup background.

What We Offer

• Mature Product, Zero Bureaucracy: Work on a live, profitable product with real customers and fast decision-making.
• Strategic Influence: Direct partnership with the founders and full ownership of the technical and AI vision.
• Remote & Flexible: Full-time or part-time/fractional engagement in a fully remote format.
• Individual Terms: We will tailor the collaboration format, compensation, and potential equity/bonuses to fit your goals. We are open to your proposals.

About the Role & Team
We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes.
This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.


Candidate Profile: Qualifications & Experience
Must-Have Attributes
- Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery.
- SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
- Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
- Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
- Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability

Good-to-Have Skills
- Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
- AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.

Job Responsibilities

Key Responsibilities
1. Client Engagement & Strategic Architecture

- Identify AI Opportunities: Work directly with customer engineering, product, architecture, and executive teams to diagnose SDLC bottlenecks and map out high-value areas for AI-led acceleration.
- Design & Build Proofs of Concept: Act as a hands-on builder to design, develop, and deliver working proofs utilizing modern AI engineering tools, agentic workflows, and automation frameworks.
- Lead the Intent-Driven Transition: Guide clients away from rigid, manual sprint mechanics toward fluid, intent-driven delivery loops capable of autonomously generating plans, code, tests, documentation, and validation artifacts.

2. Value Measurement & Executive Alignment

- Quantify AI Impact: Define, measure, and report on hard engineering acceleration outcomes, including reduced cycle times, faster story-to-code conversion, improved automated testing, and accelerated code reviews.
- Technical & Executive Presentation: Communicate complex technical approaches, agentic architectures, proof results, and long-term adoption strategies to both engineering teams and C-level stakeholders.

About Us

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. We are seeking a Senior Backend Python Engineer (7+ years of experience) to design and scale the backend infrastructure powering our AI platform.
 

Key Responsibilities

• Architect and implement scalable backend services and multi-tenant SaaS systems.
• Design and operate high-throughput data pipelines (both batch and streaming).
• Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs.
• Productionize research-grade AI systems into reliable, production-ready distributed systems.
   

Core Requirements (Must Have)

• Experience: 7+ years of hands-on backend engineering experience.
• Architecture & Data: Strong background in building high-throughput data pipelines and multi-tenant SaaS architectures.
• Programming: Deep proficiency in Python.
• Distributed Systems: Strong understanding of distributed systems and cloud-native environments.
• Kubernetes: Hands-on experience in the architecture, development, and deployment of Kubernetes-based systems.
   

Nice to Have

• Languages: Experience with Go and/or Scala.
• AI/LLM Ecosystem: Practical experience with LLM systems (RAG, model serving, evaluation).
• Graph & Vector Databases: Experience working with knowledge graphs, vector databases (e.g., Neo4j), or hybrid retrieval architectures.

Why Join Us? 

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

Anadea | Tensorway is an international distributed team with more than 20 years of experience creating corporate and startup solutions (web, mobile, AI). We predominantly work remotely from Ukraine and Europe, with our office located in Dnipro.

You understand the risks of overreliance on coding agents and recognize the importance of taking full ownership and responsibility for the outcomes of your work, whether the code is LLM-generated or written by you. We’re looking for a proactive, self-driven individual who takes initiative, and proven leadership experience would be a strong plus.
 

Required Skills

Hard skills:

• Python: proficient knowledge of the language for development, debugging, and code maintenance.
• LLM Frameworks: practical experience with LLM-applications and agent frameworks, building agent loops, multi-agent systems, RAG, context management, MCP.
• Production Safety: guardrails and safety controls, human-in-the-loop (confidence calibration for optimal delegation).
• Assisted SDLC: creating sharable coding agents configurations, building reusable modular context, employing agents at all stages of the SDLC.
• API & Testing: ability to design REST/GraphQL interfaces and write unit/integration tests with Git as the foundation of the workflow.
• Software Development: concurrent programming and database systems, software design principles and patterns.
• Monitoring Tools: experience with LangSmith, OpenTelemetry, MLflow for tracking and analyzing agent systems.
• Eval Pipelines: evaluating LLM-based workflows and non-deterministic agent trajectories, using dedicated frameworks and approaches, defining metrics.
• DS and ML foundations: training, evaluation, bias, and visualization.
• DevOps Basics: Docker containerization and CI setup (GitHub Actions/GitLab CI) for “green” builds and agent testing.
• Cloud Platforms: familiarity with AWS, GCP, or Azure for deployment, scaling, and load balancing.
   

Bonus Knowledge and Preferred Qualifications:

• Rust or another systems language for high-performance services.
• Fine-tuning and Local Models: production experience with quantization, fine-tuning, and working with RLHF approaches.
• Experience with TTS, STT, or real-time models, or with computer vision, OCR.
• Certifications such as Claude Certified Architect (Professional or Foundation).
• Experience with compliance requirements (GDPR, HIPAA, or SOC 2).
   

Why Join Us? 

Conditions and Benefits

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program
   

If you meet the key requirements and want to work on scalable autonomous agent systems, please send your resume and project links!

About Us

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. We are seeking a Senior Backend Python Engineer (7+ years of experience) to design and scale the backend infrastructure powering our AI platform.
 

Key Responsibilities

• Architect and implement scalable backend services and multi-tenant SaaS systems.
• Design and operate high-throughput data pipelines (both batch and streaming).
• Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs.
• Productionize research-grade AI systems into reliable, production-ready distributed systems.
   

Core Requirements (Must Have)

• Experience: 7+ years of hands-on backend engineering experience.
• Architecture & Data: Strong background in building high-throughput data pipelines and multi-tenant SaaS architectures.
• Programming: Deep proficiency in Python.
• Distributed Systems: Strong understanding of distributed systems and cloud-native environments.
• Kubernetes: Hands-on experience in the architecture, development, and deployment of Kubernetes-based systems.
   

Nice to Have

• Languages: Experience with Go and/or Scala.
• AI/LLM Ecosystem: Practical experience with LLM systems (RAG, model serving, evaluation).
• Graph & Vector Databases: Experience working with knowledge graphs, vector databases (e.g., Neo4j), or hybrid retrieval architectures.

Our development team is turning a whole company into a system that improves itself. Every repeated task a colleague does is a candidate for software, and that software is built and checked by AI agents we set up ourselves. You don't inherit someone else's backlog: you decide what gets built and how, you talk directly to the people who use it, and you report to the owner who decides.

The role
You take a request from a business user and carry it until it works for them. Which tools, which design, which order: that is your call. You build with AI coding agents as your main way of producing code, check the result, hand it to the users and stay with it until it works in their hands. You plan your own day.

• First: web applications that turn engineering data into documents for clients and apartment buyers. You do not need Hebrew; a product manager covers the domain.
• Alongside: the developer tooling our team uses every day.
• Later: new applications for other departments, starting with business automation. The role grows with you, from building apps with AI agents to designing how our company builds software with them.

How we work

• You write the plan before the agent writes code: what the user gets, the first piece that ships within days, and what waits.
• You check what the agent built, not just whether tests pass. An agent once wrote our business terms straight into the code; it looked clean and cost 3 developer-days to redo.
• When you don't know how long something takes, you build a small test first, then give a date.
• You decide without waiting for approval and say how you'll know you were wrong.
• Bugs in new work are normal. Tell us about one the day you find it.

What you need to bring

• A strong backend, frontend or full-stack background. Any language or stack.
• Fluent spoken and written English. Hebrew is not needed.
• At least one product you shipped on your own, from a user's request to real users.
• Daily work with AI coding agents as your main way of producing code.

Who you are
These are Midved's five company values, written as what they look like day to day.

• Resilience and self-awareness. You keep ego out of the work, take feedback as a tool to grow, and stay calm under load.
• Trust and autonomy. You own a task from end to end. If something slips, you say so early, before anyone asks.
• Professionalism. You keep learning and master your tools. You understand why each part of the work exists, and everything you ship carries your quality signature.
• Productivity and effectiveness. You define the result, break it into steps and decide what not to do now. You measure yourself in tasks closed, not hours worked.
• Force multiplier. The team's success is your success. You share what you know and help others get better.

This role is not for you if

• You want detailed tickets and someone to review every line you ship.
• You write code mostly by hand, or use AI only for autocomplete.
• You can't recall a time an AI agent gave you something wrong that looked right.
• You measure your week in hours, not in things that work for users.

How to apply — we read applications that include items 1 to 3

1. A link we can check: a live product, a public repository or a demo of something you shipped on your own, plus one sentence on a decision you made in it and why. Under NDA? Say so, and you'll walk us through it on screen in the call.
2. Your monthly salary expectation in USD.
3. Two or three sentences: the last time an AI agent gave you something wrong that looked right, and how you caught it.
   Optional, and we watch these first: a 5-minute screen recording of you working with your AI agent on a real task. Unedited is fine.

How we hire
Your application (we answer within 2 working days) → a 45-minute call in English with our Head of Development, including a screen share → a paid test day ($170): you plan a real change to one of our systems, then defend the plan live → a conversation with our CEO → references. From application to offer in about 3 weeks.

Terms
Full-time, remote from Ukraine, at least 4 working hours a day overlapping Israel. Contract as a Ukrainian contractor (FOP) invoicing Midved monthly. Start within 4 weeks of the offer. Probation: 90 days.

Anadea | Tensorway is an international distributed team with more than 20 years of experience creating corporate and startup solutions (web, mobile, AI). We predominantly work remotely from Ukraine and Europe, with our office located in Dnipro.

You understand the risks of overreliance on coding agents and recognize the importance of taking full ownership and responsibility for the outcomes of your work, whether the code is LLM-generated or written by you. We’re looking for a proactive, self-driven individual who takes initiative, and proven leadership experience would be a strong plus.
 

Required Skills
 

Hard skills:

• Python: proficient knowledge of the language for development, debugging, and code maintenance.
• LLM Frameworks: practical experience with LLM-applications and agent frameworks, building agent loops, multi-agent systems, RAG, context management, MCP.
• Production Safety: guardrails and safety controls, human-in-the-loop (confidence calibration for optimal delegation).
• Assisted SDLC: creating sharable coding agents configurations, building reusable modular context, employing agents at all stages of the SDLC.
• API & Testing: ability to design REST/GraphQL interfaces and write unit/integration tests with Git as the foundation of the workflow.
• Software Development: concurrent programming and database systems, software design principles and patterns.
• Monitoring Tools: experience with LangSmith, OpenTelemetry, MLflow for tracking and analyzing agent systems.
• Eval Pipelines: evaluating LLM-based workflows and non-deterministic agent trajectories, using dedicated frameworks and approaches, defining metrics.
• DS and ML foundations: training, evaluation, bias, and visualization.
• DevOps Basics: Docker containerization and CI setup (GitHub Actions/GitLab CI) for “green” builds and agent testing.
• Cloud Platforms: familiarity with AWS, GCP, or Azure for deployment, scaling, and load balancing.
   

Bonus Knowledge and Preferred Qualifications:

• Rust or another systems language for high-performance services.
• Fine-tuning and Local Models: production experience with quantization, fine-tuning, and working with RLHF approaches.
• Experience with TTS, STT, or real-time models, or with computer vision, OCR.
• Certifications such as Claude Certified Architect (Professional or Foundation).
• Experience with compliance requirements (GDPR, HIPAA, or SOC 2).

Conditions and Benefits

• Remote Work: flexible schedule from anywhere in Ukraine and Europe; optional workplace in Dnipro.
• Competitive Compensation and Bonuses based on project results.
• Medical Insurance, Paid Vacation, and Learning Budget for professional growth.

If you meet the key requirements and want to work on scalable autonomous agent systems, please send your resume and project links!

Role Overview

We are looking for a Senior QA Engineer with a focus on automation and manual testing. The role involves ensuring product quality across functional and API, as well as maintaining and improving automated test coverage. You will also have an opportunity to leverage AI tools to support test creation and improve QA processes. The company operates in the FinTech industry and specializes in alternative investments.

Role Responsibilities

• The role may involve up to 40–50% manual testing, while the rest will be focused on test automation, including AI-generated tests where appropriate. The exact balance may vary depending on project needs.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metrics to support automation test creation and execution.
• Perform all types of testing — Functional, API, Automation, Manual and Load, including necessary manual validation where required.
   

Role Requirements

• 5+ years of experience with QA engineering delivery experience
• 4+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD), including hands-on experience for backend automation
• Experience with Java microservices and REST APIs and exposure to React front end
• Strong experience in data engineering, including data pipelines, ETL/ELT processes, and big data processing
• Hands-on experience with Apache Spark, Databricks, and distributed computing environments
• Experience designing and implementing streaming data processing solutions and scalable data platforms
• Experience with Playwright and TypeScript
• Agile development approach
• CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• AI Integration experience preferred
• Exposure to banking and/or finance environments preferred
• Strong communication skills: English B2+
   

Interview Process

1. Intro Call with Recruiter (45 minutes)
2. Technical Interview (90 minutes)
3. Call with Tech Lead (30 minutes)
4. Client’s Interview (60 mins)

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior ML Engineer to join our team!

Requirements:

• Strong production Python and ML systems experience
• Shipped ML workflows beyond notebooks (orchestration + cloud + ops)
• Familiar with distributed/batch ML compute and experiment/model versioning
• Comfortable owning systems end to end: design, implementation, debugging, operations

Will be a plus:

• CV, video, or foundation-model/auto-labeling experience
• Dagster/Airflow, Dask/Ray, AWS, ONNX/export workflows

Soft Skills:

• Ownership — takes responsibility for outcomes, not just tasks
• Learning agility — picks up new tools/domains fast and applies them quickly
• Experimentation mindset — tests ideas with clear hypotheses and shares results openly
• Cross-team collaboration — works well across projects and helps others succeed
• Clear communication — explains tradeoffs simply and keeps stakeholders aligned
• Pragmatism — balances ideal solutions with what the team needs now
• Comfort with ambiguity — makes progress in unclear R&D environments
• Constructive feedback — gives/receives feedback well in code reviews and pairing
   

Responsibilities:

• Build and maintain end-to-end ML pipelines: data ingestion → training → evaluation → export
• Operate distributed training/inference workloads on cloud GPU/CPU infrastructure
• Own dataset workflows: validation, splitting, versioning, and quality checks
• Integrate manual and automated labeling into reproducible training flows
• Maintain CI/CD, monitoring, runbooks, and internal CLI/API tooling
• Collaborate with product, domain experts, and QA to turn requirements into pipeline changes

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

About the Role

We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients.

This role combines strong software engineering skills with a practical understanding of business needs.

You’ll work directly with clients, understand their challenges, design technical solutions, and take AI-powered applications from concept to production.

We’re looking for someone who can do more than write code — someone who can take ownership and make things work.

What You’ll Do

• Work directly with clients to understand their business needs and technical requirements.
• Design, build, and deploy AI-powered applications and integrations.
• Develop LLM-based solutions, RAG pipelines, and AI agents.
• Integrate AI solutions with existing APIs, databases, and enterprise systems.
• Build scalable backend services and production-ready infrastructure.
• Own the full implementation cycle, from discovery and prototyping to production deployment.
• Troubleshoot technical challenges and continuously improve deployed solutions.

Requirements

• 5+ years of software engineering experience.
• Strong Python development skills.
• Experience with backend development, APIs, and system architecture.
• Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models).
• Practical knowledge of RAG, AI agents, and LLM integrations.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Docker, CI/CD, and production deployment experience.
• Strong problem-solving skills and ability to work independently.
• Comfortable communicating directly with international clients.
• English B2+.

Nice to Have

• Experience with LangChain, LangGraph, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Kubernetes and distributed systems.
• Data engineering or ML infrastructure background.
• Experience as a Solutions Engineer, Solutions Architect, or Technical Consultant.
• Previous experience in client-facing engineering roles.

UK, hybrid (fully remote within Europe considered for a 100% fit)  ·  Full-time, 12 weeks initial, extension up to 6 months.

A B2B SaaS platform is kicking off a rapid AI enablement programme. They need a hands-on senior lead to take identified automations from idea to production, measured, governed and actually adopted by teams. The role sits within product engineering. It starts with Product, QA and Solutions delivery, then scales into a reusable orchestration framework across the business.

This is a high-ownership role: one named lead, personally accountable for delivery, stakeholder alignment and handover.

What you’ll do

- Assess and push forward a few in-flight automations, then deliver a portfolio of agentic workflows: QA & test generation, bug triage, requirements, solution implementation, docs, prototyping

- Design the target architecture: how people, agents and existing systems share work, using reusable integration/orchestration patterns

- Build in the guardrails: evals & thresholds, human approvals, audit trails, monitoring, failure handling

- Set baselines and measure real impact (not demo metrics)

- Train internal owners and hand over maintainable, documented workflows

Must have

- Personally designed and shipped production agentic / multi-step LLM workflows in a SaaS or software company, with measurable outcomes

- Strong hands-on Python or TypeScript + AWS in production; integrations across APIs, databases, events, queues

- Evals, observability, access control, human-in-the-loop design; MCP & secure tool integration

- Ability to select and govern AI models/tools (data handling, retention, security, limitations)

- AI-assisted SDLC with proper quality controls

- Credible with both executives and engineering teams

Nice to have

Laravel/PHP (existing platform) · multi-tenant SaaS · Amazon Bedrock / AgentCore · Google ADK, Strands or similar · AWS serverless (Lambda, SQS, Step Functions, EventBridge) · GDPR, ISO 27001, SOC 2, ISO 42001 environments

Probably not a fit if your AI experience is POCs/demos only, advisory without hands-on coding, or primarily ML research/model training.

Be ready to show: real production examples with before/after results, an architecture you personally designed, one production failure and how you fixed it, and a reference.

Are you passionate about driving organizational transformation and improving operational efficiency through modern technologies? We are looking for a Project/Product Manager to lead cross-functional digital transformation initiatives within Sigma Software’s internal ecosystem.

In this role, you will coordinate complex enterprise projects, align business and technology stakeholders, and help shape scalable digital solutions that improve collaboration, automation, and operational excellence across the company. You will work remotely from Ukraine as part of Sigma Software’s IT Solutions Department.

We at Sigma Software value initiative, transparency, and continuous improvement. This is an opportunity to influence company-wide transformation programs, work with modern AI-driven approaches, and contribute to the evolution of enterprise processes in an international environment.

The IT Solutions Department at Sigma Software is responsible for building and evolving the company’s internal digital ecosystem. The department focuses on implementing and developing business applications, enterprise platforms, and digital solutions that support multiple business functions across the organization. Its mission is to provide employees with efficient, scalable, and modern tools that improve productivity and collaboration.

The role is focused on leading enterprise-wide transformation initiatives aimed at improving operational efficiency, enabling automation, and introducing AI-supported workflows across the company. You will coordinate multiple parallel streams, manage stakeholder expectations, and ensure successful delivery of digital transformation projects in a complex enterprise environment.

RESPONSIBILITIES

• Plan, manage, and monitor project execution ensuring delivery on time and within budget
• Drive end-to-end project lifecycle management using appropriate delivery methodologies and best practices
• Lead cross-functional initiatives involving multiple business units and internal teams
• Align business and technology stakeholders around project goals, scope, and expected outcomes
• Identify opportunities for process optimization, automation, and AI adoption
• Manage project risks, dependencies, and issues proactively
• Ensure transparent communication and reporting to stakeholders
• Monitor KPIs and delivery metrics and initiate corrective actions when needed
• Maintain structured project documentation using modern AI-assisted approaches
• Support delivery teams with resource planning, onboarding, and collaboration activities
• Promote project management best practices and continuous process improvement
• Act as a trusted partner for internal stakeholders and propose value-driven initiatives

REQUIREMENTS

• At least 4 years of commercial experience in project or product management
• Strong understanding of project management methodologies and delivery frameworks
• Proven experience managing cross-functional or organizational transformation initiatives
• Excellent communication and stakeholder management skills
• Strong leadership, facilitation, negotiation, and problem-solving abilities
• Experience working in enterprise environments with multiple stakeholders and parallel initiatives
• Strong risk management and prioritization skills
• Understanding of modern technologies, system integrations, and automation approaches
• Experience collaborating with technical teams and managing IT-related projects
• Awareness of AI capabilities and readiness to integrate AI into workflows
• Upper-Intermediate or higher level of English

WILL BE A PLUS

• Experience leading enterprise digital transformation programs
• Experience with workflow automation platforms or process management systems
• Knowledge of Agile, Scrum, Kanban, or hybrid delivery approaches
• Experience with AI-assisted project management tools
• Certifications such as PMP, PRINCE2, PMI-ACP, or Scrum certifications
• Experience working with international or distributed teams

PERSONAL PROFILE

• Proactive and ownership-driven mindset
• Strong organizational and analytical skills
• Ability to work effectively in dynamic environments
• High level of responsibility and attention to detail
• Collaborative and partnership-oriented approach
• Ability to balance strategic thinking with hands-on execution
• Continuous improvement mindset