Jobs AI

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

In your role as Microsoft AI Developer, you’ll have the unique opportunity to design and build advanced Generative AI tools, plug-ins, microservices, and extensions. Your work will be essential in leading innovation and delivering high-impact solutions that set new standards for excellence, further strengthening PwC’s reputation for technological leadership, client satisfaction, and continuous growth. If you’re passionate about shaping the future of technology and eager to make a real difference, this is the perfect place to accelerate your career and leave a lasting mark.

Responsibilities:     

• Develop and implement the large-scale AI-driven software solutions using Microsoft 365 Agents Toolkit and Azure technologies.
• Translate business requirements into technical specifications and deliver effective AI and automation solutions.
• Develop, test, and deploy product features, ensuring they align with client needs and quality standards.
• Support agile product delivery by working closely with cross-functional teams and adopting Agile Scrum methodologies.
• Utilize Azure AI Foundry, Azure OpenAI, Graph connectors, API plugins, and Azure AI Search to deliver robust solutions.
• Guide integration of APIs and microservices architectures for scalable and secure applications.
• Implement best practices in source code management, CI/CD, and DevOps using tools like GitHub and Azure DevOps. 
• Troubleshoot complex issues and provide support throughout the software development lifecycle.

Requirement experiences and skills:

• Bachelor’s or Master’s degree in Computer Science or similar field.
• Hands-on experience in agile teams delivering software solutions at scale.
• Proficiency in service-oriented, event-driven, and microservices architectures.
• Expertise in Azure AI tools including OpenAI, Foundry, Functions, Logic Apps, and Teams Toolkit.
• Azure Services certifications will be a plus.
• Experience with Python, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Ability to solve complex problems with creativity and critical thinking.
• Excellent written and verbal communication skills for internal and client-facing interactions.
• Team-oriented mindset with a passion for continuous learning and staying up to date with emerging technologies.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join our dynamic AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to data analytics fraud detection systems.

Key Responsibilities:

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions;
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs);
• Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation;
• Develop web applications (FE / BE / cloud architecture) enabling users to interact with AI systems;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 2+ years of professional experience in this or similar area;
• Experience working on AI/ML projects, in areas such as Generative AI, NLP, Computer Vision or Machine Learning model development and deployment;
• University degree in Mathematics or a similar field is an advantage;
• Programming skills in Python (pandas, plotly, numpy);
• Experience with Full stack development (JavaScript) is a significant plus.
• Experience with SQL databases; familiarity with NoSQL is a plus;
• Experience with generative AI models is a plus;
• Fluent in English (level B2 or higher).

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

About the Role:
We're looking for a forward-deployed AI engineer to embed with the existing analyst team and transform how they work with LLMs - day to day, in practice. This is as much an elicitation and communication role as an engineering one: you'll sit with the analysts, learn their workflows deeply, and turn that understanding into working AI-powered tooling.
The immediate priority is connecting our models (Claude and Gemini) to external data sources via MCP, leveraging existing servers where available, writing new ones where needed, and building practical agentic tools and research "skills" the team can use immediately. This will feed into a broader LangGraph-based platform already under development, but extracting real value for our analysts now comes first.

What You'll Do:
- Embed with analysts to understand their investigative workflows and translate them into working tooling.
- Connect LLMs to external/third-party databases and internal resources via MCP.
- Build practical agentic tools and research skills across Claude and Gemini.
- Advise on best use of our current models and agent architecture.
- Review and provide recommendations on existing internal development efforts.
- Help define how LLMs integrate into the team's daily work — before automating for external-facing systems.

What We're Looking For:
- Forward-deployed / solutions engineering experience, a track record of embedding with non-technical specialists and shipping tools for them. This is the most important qualification.
- Hands-on experience with both Claude and Gemini: tool/function calling, agentic patterns, MCP.
- Comfort treating prompt engineering and agent/skill design as core work, not a side task.
- Strong security awareness.
- Excellent English communication skills (written and verbal).
- Python proficiency (FastAPI, async patterns).

Nice to have:
- Familiarity with LangGraph is a plus 
- React/TypeScript familiarity.

About the Client
This is a specialist intelligence and investigations firm whose analysts conduct deep-dive research into complex entities: individuals, organisations, and networks, etc. for clients operating in high-stakes environments: due diligence, compliance, litigation support, and financial crime. The work is detail-intensive and source-critical: every finding must be traceable, verifiable, and defensible. They are now building AI infrastructure to support and accelerate that process - not to replace human judgement, but to give their analysts better tools.

Stack: Python 3.10+, FastAPI, LangGraph, Pydantic | React, TypeScript, Vite, Zustand.

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

About the client

A United States-based data company that builds analytical data platforms for large enterprises, with a particular focus on the construction and engineering sectors. The company has roughly 20 years of experience delivering large-scale enterprise data projects and counts Fortune 100 companies among its customers.

The role

We are hiring a senior full stack developer (Java + React) to lead the build of a new data platform. You will start by delivering the MVP from an existing set of requirements, then continue building features and custom work as the product matures.

The central part of this platform is AI. We are building agentic tools that carry out automated tasks such as generating reports and running analyses, so working with large language models is core to the role rather than an afterthought.

This is a hands-on senior position with real architectural ownership. You will be making key technical decisions, not just implementing someone else’s.

What you will do

• Design the architecture and the data model. Plan the overall system: services, APIs, and the analytical data stores behind them.
• Build the data foundation. Design Data Lakes and analytical stores, and build ETL pipelines that ingest, clean, transform, and structure large volumes of data, so it is ready for analysis.
• Build AI-powered features. Integrate large language models and develop agentic tools that automate work such as reporting, data analysis, and other repetitive tasks, with sensible safeguards around company data.
• Deliver the MVP and grow it. Own delivery from end to end, then keep evolving the product with new and custom features.
• Integrate with industry tools. Build pipelines that connect to scheduling and project-control systems such as Oracle Primavera P6.
• Write full stack code. Back-end services and front-end interfaces, both clean and tested. You are welcome to use AI coding assistants to work faster, provided you keep company data secure.
• Own the database and cloud setup. Database design and tuning on Azure SQL, and the application infrastructure on Microsoft Azure.
• Translate requirements. Work with the product managers and customers to turn business needs into clear technical specifications.
• Support the team. Set coding standards and help guide a small engineering team based in Ukraine.

Who you will work with

• On the client side: CEO, PM, 2 Data Analysts, Delivery Lead, 2 Data Engineers, and a BA.
• On our side: 1 Senior Full Stack Developer, 2 Middle Java Developers, and 1 DevOps engineer.
• Customers across North America, Europe, and the MENA region.

What we are looking for

• At least 7 years of building software, with experience building architecture from scratch (3 years or more).
• Hands-on experience integrating large language models into real applications, and an interest in building agentic, automated tooling. (This is a must.)
• Strong Java (25) and the Spring ecosystem (Spring Boot 4, Spring Cloud, Spring Security).
• Solid React (19) and a good command of web fundamentals (HTML, CSS, the DOM).
• Deep, proven experience with Data Lakes, ETL, and transforming large datasets for analysis.
• Hands-on experience deploying applications on Microsoft Azure (AWS/GCP) and working with Azure SQL (design, performance tuning, and scaling).
• Comfortable with microservices, REST API design, event-driven architecture, and containers (Docker, Kubernetes/AKS).
• Familiarity with CI/CD using Azure DevOps, GitHub Actions, or similar tools.
• A practical, product-minded approach. You treat code as a way to solve user problems.
• Direct experience with Oracle Primavera P6.
   
• English: Upper-intermediate (strong communication skills)

Nice to have

• Experience building software for the construction, engineering, or property-technology sectors. This is a genuine plus, but it is not required — the domain can be picked up quickly, and we would rather hire a strong engineer with potential than screen people out over industry background.

Why it is worth it

• You will be the key founding engineer on a brand-new product, so your decisions will genuinely shape it.
• You will work closely with experienced product leaders and a capable DevOps team.
• There is room to grow as the platform grows.

We Offer

• Opportunity to propose solutions and influence technical decisions
• Dynamic and challenging tasks
• Team of experienced professionals
• Competitive salary
• Low bureaucracy
• Continuous self-improvement
• Long-term employment with paid vacation and social benefits
• A bunch of perks 😊

We are looking for a Business Analyst with a strong analytical mindset and interest in financial data, market research, forecasting, and AI-driven analysis. This role is ideal for someone with 3+ years of experience, preferably with a background in Big Four / consulting / audit / financial analytics.

Details
Location: Remote 
Employment Type: Full-time
Start Date: ASAP
Language Requirements: English Fluent 

Key Responsibilities

Analyze financial, business, and market data.

Conduct deep research on industries, competitors, trends, and market opportunities.

Prepare forecasts, predictions, analytical reports, and business insights.

Work with AI tools to improve research, analysis, reporting, and decision-making.

Structure large volumes of data and turn them into clear conclusions.

Support business strategy, financial planning, and investment/market analysis.

Prepare presentations, dashboards, and written analytical summaries.

Requirements

3+ years of experience in business analytics, financial analytics, consulting, audit, market research, or related fields.

Background in Big Four / consulting / audit / financial services is highly preferred.

Strong analytical and critical thinking skills.

Experience with financial data analysis and market analysis.

Ability to build forecasts, predictions, and structured conclusions.

Confident user of Excel / Google Sheets; experience with BI tools is a plus.

Understanding of AI tools and ability to use them for research and analytics.

English level: Upper-Intermediate or higher.

Nice to Have

Experience with Power BI, Tableau, SQL, Python, or other analytics tools.

Experience in investment, fintech, banking, or strategic consulting.

Ability to work with large datasets and create executive-level presentations.

We are looking for an SEO & AI Search Visibility Specialist to own the technical and analytical delivery of our AI Visibility Audit product — the diagnostic that shows clients how their brand performs in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, and what to do about it.

The DACH market in 2026 treats GEO/AEO as a must-have, but mature providers with a real methodology are scarce. This role is for someone who has actually run citation tracking in production — not someone who added "GEO" to their title last year.

You will work directly with the founding team and clients. No intermediary layers. 3–4 concurrent audits at different stages is the expected pace.

Fully remote and async. No probation period — the first audit serves as the screen. Direct relationship with the founder and clients, no account management layer.

Key responsibilities

• Run citation testing across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — 40–60 queries × 5 platforms per audit
• Branded vs. non-branded query testing; competitor visibility benchmarking (3–5 competitors per audit)
• Entity recognition checks: Wikipedia, Wikidata, knowledge graph, Crunchbase, G2
• Technical AI-readiness audit: schema markup, structured data, FAQ blocks, llms.txt, robots.txt for AI crawlers, content structure for passage-level retrieval
• Content gap analysis — which intent categories competitors own, which are still open
• Build a 90-day GEO/AEO roadmap with prioritization and effort estimates per client
• Cover the SEO layer within the Digital Infrastructure component of the Revenue Architecture Diagnostic
• Support the Lead Consultant during AI Visibility final client presentations

Requirements 

• 3–5 years in SEO + hands-on GEO/AEO experience in 2025–2026 (citation tracking, AI visibility monitoring in production)
• Advanced technical SEO: Screaming Frog, Google Search Console, Ahrefs or Semrush
• Schema.org and structured data — own implementation, not just coordination with developers
• Knows llms.txt and AI crawler robots.txt directives
• Understands passage-level optimization, query fan-out, and entity recognition as real practices
• Can produce analytical technical visualizations: citation heatmaps, gap maps (not just checklists)
• English B2+
• Ready to work as a contractor from day one (no full-time from the start)
• Can share real audit examples (anonymized / blurred body is fine)

Nice to have

• Experience with AI visibility tooling: Profound, Otterly, Conductor AEO, AthenaHQ
• German B1+ — critical for client work with DACH SMB clients
• B2B / SaaS experience in DACH markets
• Basic Python or JavaScript for automating citation testing
• Multilingual SEO expertise: DE / AT / CH markets

• Content strategy beyond auditing — able to develop actionable recommendations, not just identify gaps
   

  Tech stack: Ahrefs or Semrush, Screaming Frog, Google Search Console, Schema.org / Structured Data, Notion, GA4, GTM Profound Otterly, AthenaHQ.
  
  Recruitment process:
  1. Recruiter screening
  2. HM tech/case Interview
  3. Reference check
  4. Offer

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app.

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

Reports to: Global Head of AI & Advisory
Location: Ukraine
Status: Full-Time

Working hours: 9 AM - 5 PM EST

About Atlas Technica
Atlas Technica is a technology partner to hedge funds, private equity firms, and other sophisticated financial services organizations. We are known for combining strong service, process discipline, and technical depth. As Atlas expands its AI & Advisory practice, we are building the operational backbone needed to help the function scale cleanly and professionally.
We are looking for someone who is organized, sharp, proactive, and calm under pressure — someone who can bring order to a fast-moving environment, keep important work from slipping, and help senior stakeholders execute at a high level.

About the role
This is not a pure administrative assistant role.
This role sits at the center of the AI & Advisory function and helps keep commercial, operational, and executive work moving. You will support the Global Head of AI & Advisory across scheduling, follow-up, pipeline coordination, proposal preparation, CRM hygiene, meeting logistics, internal handoffs, and high-quality business materials.
The right person is not waiting to be told every next step. They are the kind of operator who notices gaps, follows through, chases loose ends, keeps records clean, and helps senior people stay focused on the highest-value work.
This role is ideal for someone with experience in sales coordination, business operations, executive support, or commercial administration in a B2B, technology, or professional services environment.
 

What you will do
 

• Own scheduling and coordination for internal, client, partner, and prospect meetings
• Manage calendar logistics for the Global Head of AI & Advisory, including prioritization, rescheduling, preparation, and follow-up
• Coordinate meeting agendas, briefing materials, action items, and next steps so conversations turn into execution
• Help prepare polished proposals, presentations, briefs, and other external-facing business materials
• Maintain accurate records across HubSpot and related systems so meetings, outreach, follow-up, and pipeline activity are current and visible
• Support opportunity coordination across AI & Advisory, Business Development, Service Operations, Finance, Marketing, and Delivery
• Track internal dependencies, approvals, and handoffs so opportunities and projects do not stall
• Monitor shared inboxes and help route, triage, and close the loop on inbound requests
• Support reporting and operational visibility across pipeline, activity, and priority workstreams
• Maintain organized folders, templates, collateral, and working documents for the AI & Advisory practice
• Coordinate logistics for client, partner, and internal events when needed
• Handle travel and expense coordination as required
• Help create structure where structure does not yet exist

What we are looking for
 

• 3+ years of experience in sales coordination, sales operations, executive support, business operations, or commercial administration
• Excellent written and verbal English
• Strong organizational discipline and follow-through
• Very high attention to detail
• Comfort working across multiple systems at once without losing track of priorities
• Experience with CRM platforms such as HubSpot, Salesforce, or similar
• Strong PowerPoint / presentation and document-formatting skills
• Ability to coordinate across multiple stakeholders and move work forward without constant supervision
• Good judgment, professionalism, and discretion
• Confidence working with senior internal and external stakeholders
• Comfort in a fast-moving, sometimes ambiguous environment
• Strong digital fluency, including confidence learning new tools quickly

Nice to have
 

• Experience in a technology, MSP, SaaS, consulting, or professional services business
• Experience supporting sales teams, proposals, or RFP responses
• Experience working in a remote international team
• Familiarity with AI tools for note-taking, drafting, research, or workflow support

What success looks like

In the first 3–6 months, this person should be visibly improving the operating cadence of the AI & Advisory function by:
 

• keeping calendars and follow-up under control
• improving meeting preparation and execution
• helping maintain cleaner pipeline and CRM records
• reducing dropped balls across internal handoffs
• producing polished materials quickly and reliably
• becoming a trusted operator for high-priority work

Who will do well here
This role fits someone who enjoys being the person behind the scenes who keeps important work moving.
It is a strong fit for someone who wants meaningful exposure to senior leadership, client-facing business activity, and a growing AI-related function — but who is strongest in coordination, execution, organization, and commercial support rather than quota-carrying sales.
 

Atlas Technica is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics under applicable law.

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with at least one JVM language
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? 

Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with Python
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

We are looking for a Middle Full-Stack Software Engineer with hands-on experience in TypeScript, React/Next.js, and practical experience working with Python-based backend services.

The ideal candidate is comfortable owning features end to end — from frontend implementation and user-facing flows to backend services, APIs, integrations, and production support. 

This role is a good fit for an engineer who enjoys working across the stack, solving complex integration challenges, and contributing to a product in the AI communication space. 

The position is slightly frontend-leaning, but still requires the ability to read, write, and maintain backend services. 

CUSTOMER 

The customer is a product company developing a platform for automating customer communications using AI-based solutions. 

The team is small, fast-scaling, and operates with a low level of bureaucracy. The role involves direct communication with the customer team and a strong ownership-oriented engineering culture. 

The project is in an active development phase. The candidate will work on frontend features, backend services, external provider integrations, and contribute to the ongoing development of the existing platform. 

PROJECT 

The project is an agentic call center platform that uses Voice and Text AI agents to conduct real customer conversations, automate workflows, and integrate with CRMs and telecom providers. 

The platform helps businesses automate customer communication at scale, including bookings, call transfers, CRM workflows, messaging, and routing. 

From a technical perspective, the project is interesting because it includes frontend development with React/Next.js, backend services in Python, GraphQL APIs, real-time voice AI workflows, integrations with external providers, MongoDB, Aurora, RabbitMQ, Redis, Docker/ECS, and a future migration toward Kubernetes. 

Key Technologies 

TypeScript, React, Next.js, GraphQL, Apollo, Python, MongoDB, Aurora / PostgreSQL, RabbitMQ, Redis, Docker, ECS, Kubernetes, AWS, AI/LLM integrations, real-time voice AI. 

RESPONSIBILITIES 

• Develop and maintain full-stack features in a production environment.  
• Build user-facing functionality using TypeScript, React, and Next.js.  
• Work with server-side rendering and general Next.js patterns.  
• Build, consume, and maintain GraphQL APIs, ideally using Apollo.  
• Read, write, and maintain backend services in Python.  
• Contribute to API design, data modeling, and service-to-service communication.  
• Support integrations with CRMs, telecom providers, and AI-related vendors.  
• Work with MongoDB and Aurora / PostgreSQL for data storage.  
• Participate in debugging across the stack — from browser DevTools to backend logs.  
• Work with Docker and containerized deployments.  
• Contribute to CI/CD improvements, deployment safety, logging, monitoring, and observability.  
• Help keep production services stable, reliable, and easy to support.  
• Communicate directly with the customer team and take ownership of tasks from start to finish.  

REQUIREMENTS 

• 3+ years of full-stack engineering experience, preferably with a frontend focus.  
• Experience owning features end to end in a production environment.  
• Good working knowledge of TypeScript.  
• Strong experience with React and Next.js.  
• Familiarity with server-side rendering and general Next.js patterns.  
• Experience working with GraphQL, ideally Apollo.  
• Ability to build and consume GraphQL APIs.  
• Comfortable working with Python: able to read, write, and maintain backend services.  
• General understanding of backend fundamentals: API design, data modeling, and how services communicate with each other.  
• Experience with Docker and containerized deployments.  
• Experience with MongoDB or a relational database such as PostgreSQL / Aurora.  
• Understanding of basic schema design and ability to write reasonable queries.  
• Ability to debug across the stack, from frontend issues to backend logs.  
• Interest in production topics: logging, monitoring, reliability, and service health.  
• Proactive communication and ability to take a task and drive it without constant hand-holding.  
• Comfortable working in a small team with direct customer communication.  

WILL BE A PLUS 

• Experience with Python backend services in production.  
• Exposure to messaging systems such as RabbitMQ or similar tools.  
• Experience with Redis or other caching tools.  
• Experience with real-time systems: telephony, WebSockets, streaming, low-latency pipelines.  
• Familiarity with vendor orchestration patterns: fallback routing, provider selection.  
• Any Kubernetes experience, even in dev/staging environments.  
• Experience with AI/LLM, TTS/STT, or voice-related systems.  
• Exposure to security/compliance concepts: SOC 2, secrets management, audit trails.  

PERSONAL PROFILE 

• Proactive and ownership-driven mindset.  
• Comfortable working across frontend and backend.  
• Enjoys solving complex product and integration challenges.  
• Interested in AI-driven communication products.  
• Strong problem-solving skills.  
• Effective communicator in distributed and small teams.  
• Able to work independently and clarify requirements when needed. 

We're building an AI-powered procurement platform for the construction industry that automates supplier sourcing, tender management, bid evaluation, and purchasing decisions.

The platform processes construction estimates, extracts procurement data, identifies suppliers, sends tender requests, collects responses, scores offers, and generates AI-driven recommendations.

The MVP is already built and validated. We're now entering the production-readiness phase and looking for a strong engineer to help scale the platform for commercial launch.

Engagement

• Full-time
• Long-term project
• Production launch planned for November
• Work expected through at least the end of the year, with potential continuation into 2027 as the product expands into new markets and feature

What You'll Do

• Prepare the existing MVP for production launch.
• Design and improve a secure multi-tenant SaaS architecture.
• Implement subscription plans and payment workflows.
• Build and maintain backend services and business logic.
• Ensure proper data isolation between organizations and customers.
• Develop and enhance AI-powered product features.
• Improve document parsing, scoring, and recommendation systems.
• Integrate and maintain Google Authentication and Google Calendar.
• Implement monitoring, alerting, and backup strategies.
• Collaborate closely with the Technical PM and QA.
• Proactively identify risks, blockers, and scalability challenges.
• Support the long-term growth and expansion of the platform.

What We're Looking For

• Strong experience building and maintaining production SaaS products.
• Experience with multi-tenant architectures.
• Backend-oriented engineering mindset.
• Experience implementing subscriptions and billing systems.
• Strong PostgreSQL knowledge.
• Production experience with Supabase.
• Experience integrating AI functionality into real-world products.
• Understanding of LLM-based systems and AI product. architecture.
• Ability to evaluate trade-offs between quality, speed, reliability, and cost.
• Comfortable communicating directly with product stakeholders

AI Experience We Value.

We're looking for someone who understands how AI features operate inside production software, not just chatbot integrations.

Experience with:

• LLM integrations within business workflows.
• Model selection for different use cases.
• AI-powered document processing and extraction.
• Recommendation and scoring systems.
• Prompt reliability and response quality.
• Token cost optimization.
• Performance vs quality trade-offs.

• Building maintainable AI-powered product features.

   

Nice to Have

• ConstructionTech, PropTech, or Procurement experience.
• Tendering and supplier management platforms.
• BOQ/BOM/document parsing.
• Paddle.
• Google Calendar integrations.
• Sentry.
• Experience preparing MVPs for production launch.

• European SaaS products with compliance requirements.

   

Tech Stack

Frontend: Next.js 16, React 19, TypeScript.

Backend & Data: Supabase, PostgreSQL, Row Level Security (RLS), Storage, Auth.

AI: OpenAI, Anthropic Claude.

Payments & Integrations: Paddle, Google OAuth, Google Calendar, Resend.

Infrastructure: DigitalOcean, Cloudflare, GitHub Actions.

Monitoring & Automation: Sentry, Inngest.

What’s In It for You?

• Career Growth — Opportunities to develop and advance.
• Performance Reviews — Regular feedback and support.
• Work Anniversaries — Special gifts to celebrate milestones.
• Flexible Work — Hybrid or remote (Lviv office available).
• Mentorship — Guidance from experienced professionals.
• Accounting Support — We handle the paperwork.
• Paid Time Off — 18 vacation days + 5 sick days per year.
• Extra Leave — 10 additional days off annually.
• Free Office Lunches — Enjoy meals on us.
• Team Events — Gatherings, gifts, and a welcoming atmosphere.

We are looking for a skilled Senior Technical Product Manager who can bridge product, engineering, AI quality, UX, and commercial decision-making.

Client: VC-funded AI tourism platform building the next generation of travel experiences through artificial intelligence.

Product: The product ecosystem includes an AI travel assistant, content enrichment systems, and partner integrations that help transform how travelers discover, plan, and experience destinations.

Team: Small, highly technical team that moves quickly, ships frequently, and focuses relentlessly on product quality and customer value.

Technology stack:

• AI products: an AI travel assistant and a content enrichment system
• Backend: Go monorepo, 3+ services
• Hosting: PaaS-managed containers
• Observability: Jaeger tracing, Betterstack
• Databases: PostgreSQL, Redis
• AI tooling: Claude Code used across the team

The Role

This is a supportive Senior Product role, not a Head of Product or Pod Lead. You will act as a Product Manager supporting two or three engineering pods, helping improve product quality, user experience, AI performance, commercial viability, and market competitiveness.

You must be technically experienced enough to discuss prompts, evaluations, model behavior, and architecture with engineers as peers and be willing to build small things on your own.

What you’ll actually do:

• Sit alongside two to three engineering pods as their senior product partner, advising on quality, roadmap, and behavior while pod leads own delivery
• Run market and competitor analysis across AI travel, AI assistants, and supplier platforms, and feed that back into the roadmap and pricing decisions
• Own the commercial and pricing input on client deals, working with the founders so that contracts and scope reflect what we actually build
• Lead UX research and design oversight across products, raising the bar on internal tooling and customer-facing interfaces
• Translate user behavior, supplier feedback, and competitor moves into clear, testable improvements
• Review AI assistant prompts and interactions regularly, working with engineers on evals and quality benchmarks
• Build dashboards and reporting that turn AI performance into a story stakeholders can read
• Join client and supplier calls when product context, pricing, or commercial discussions are on the table

What you will contribute to:

• Market and competitor intelligence across AI travel and assistant products
• Commercial input on pricing, contracting, and client scope
• UX research and design quality across our AI products and partner-facing surfaces
• Eval coverage, quality dashboards, and AI performance reporting
• Product context for supplier and client integrations

You are a great fit if you:

• Get genuinely curious when an AI product behaves unexpectedly and dig in until you understand why
• Think in user journeys, quality metrics, and commercial impact rather than tickets and burndowns
• Are comfortable being a senior advisor across multiple pods rather than running one of them
• Care more about whether the product works for real customers than about the process ceremony
• Enjoy working in a small, fast team where your decisions reach users quickly
• Want to stay long-term and help shape how AI changes travel

🙅 Probably not the right role for you if:

• Your background is mainly project management, Scrum mastery, or engineering management
• You have never worked on a product that uses LLMs in production
• You have never owned commercial or pricing responsibility
• You expect to lead a pod or have engineers report to you
• You expect detailed specs handed to you before you start
• You are outside European or African time zones

Required ExperienceMust Have

• Critical: Hands-on engineering background before moving into product management. If you have only worked as a Project Manager or Scrum Master, this role is not for you
• Production software development experience within the last 5 years
• Critical: Recent active use of Claude Code or an equivalent agentic tool within the last 12 months, and willingness to still build small things hands-on
• Critical: 3+ years co-leading or leading product at an enterprise B2B or SaaS company, with both commercial and product responsibilities
• Critical: Hands-on experience with AI products in production. Deep understanding of: prompts, evals, harnesses, hallucination handling, and model selection
• Strong technical experience: you can read code, follow an architecture diagram, and push back on engineers without overriding them
• Experience with internal admin tooling and B2B user interfaces, not only consumer products
• Excellent written and spoken English
• Availability to work full-time within ±3 hours of CET

Nice to Have

• Travel industry experience
• German language skills
• Past work on AI assistants, chat-based products, or recommender systems
• Corporate or legacy enterprise background alongside startup experience
• Experience setting up product analytics, evaluation frameworks, and quality dashboards from scratch

Job Details:

• Full-time, 40hrs/week
• Fully remote work
• Long-term cooperation
• Modern AI-first development environment (heavy use of Claude Code)
• International team
• Paid sick leave, vacation days, and benefits
• B2B contract