Jobs

What you’ll do

• Own engineering outcomes
• Be accountable for velocity, quality, reliability, scalability, and overall engineering capabilities for DataTech stream-aligned teams

• Ensure engineering initiatives align with DataTech strategy and the product roadmap

   

Lead and grow teams

• Manage engineers and SDE Leads through coaching, feedback, growth planning, performance management, and compensation input
• Build and evolve teams: hiring, onboarding, shaping the skill/seniority mix, and handling transitions when needed

• Maintain healthy team dynamics and address people challenges early

   

Plan and manage capacity

• Own short- and long-term capacity and capability planning
• Allocate people across initiatives based on priorities and constraints

• Identify delivery risks and drive mitigation via hiring, reprioritization, or internal rebalancing

   

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across the SDLC: refinement, design, estimation, implementation, testing, deployment, and support
• Uphold engineering standards and non-functional requirements
• Partner with SDE Leads on architecture and solution design; involve Architecture/Platform/SRE when needed
• Improve SDLC efficiency by integrating Generative AI tooling where it adds value

Own reliability and operations

• Be ultimately responsible for the stability, performance, and quality of the services your teams own
• Drive observability improvements, SLIs/SLOs adoption, and incident reduction

• Strengthen operational excellence and technical health over time

   

Strengthen collaboration and ways of working

• Evolve engineering practices: code review, CI/CD, testing strategy, incident response, and continuous improvement
• Partner with Product, Data, and other domains to align plans and manage dependencies

• Contribute to domain-level planning and cross-team collaboration with senior engineering leadership

   

What we’re looking for

• Proven engineering leadership experience managing multiple software/data engineering teams (Engineering Manager or equivalent)
• Strong people management skills: coaching, performance management, conflict resolution, scaling teams
• Track record of delivery in agile, product-led environments, including capacity planning and prioritization
• Clear communication with both technical and non-technical stakeholders

• Ownership mindset: focus on long-term maintainability and quality, not only short-term delivery

   

Bonus points

• Experience in DataTech domains (data ingestion, processing, curation)
• Familiarity with Stream-Aligned Teams / Team Topologies
• Experience partnering with Architecture, Platform, SRE and enabling teams

• Background improving observability, reliability, and incident management for backend/data services

   

What we offer

• Impactful work on a product used by investment professionals worldwide
• Flexible working hours and a remote-friendly environment
• Growth opportunities through regular feedback, development support, and learning resources
• A collaborative engineering culture with strong cross-team partnership

Tech stack: Java 21, Kubernetes / GitOps, Spring Boot, OpenAPI, PostgreSQL, Kafka, Redis

Team: Lead, 5 Backend, 2 Frontend, 2 SDET

Please, send your CV including Engineering management role with Java, Javascript and experience & telegram link :)

Location: Remote (EU)
Preferred: Warsaw/London (regular meetings in the city centre are highly appreciated)
Type: Freelance / Contract (B2B)
Compensation: Hourly or per-task (negotiated)

About

Hi, I’m Bohdan:)

I’m setting up a new multi-asset trading desk and I’m looking for a Trading Operations Analyst to help with analytical and operational tasks around trading data. This role is research/support-focused: you will work with datasets, reports, and post-trade analytics to help decisions be made faster and with higher confidence.

What you’ll do

• Perform post-trade analysis and prepare concise reports (tables + charts)
• Break down performance by 
  • instruments/tickers
  • time windows
  • trade reasons/tags (if provided)
  • holding time / entry quality buckets (if applicable)
• Detect anomalies and data-quality issues (missing fields, outliers, inconsistent logs)
• Produce clear visualisations and summaries that can be used in decision-making
• Communicate findings clearly and defend conclusions when challenged

Requirements

• Strong statistical analysis skills (practical, not academic)
• Strong Python for data analysis (pandas / numpy; polars is a plus)
• Strong data visualisation skills (matplotlib / plotly; ability to present insights)
• Ability to state conclusions under pressure (clear, direct, defendable)
• High attention to detail and strong ownership of output quality
• Ukrainian PE (FOP) or equivalent legal ability to provide services (B2B)
• Must have full legal right to provide services — no visa sponsorship

Note: Strong analytical thinking and clarity of reasoning are valued more than years of formal work experience.

Nice to have

• Prior experience with trading / market data
• Familiarity with performance metrics (PnL attribution, drawdown, slippage concepts)
• Availability for regular Warsaw/London meetups

Compensation

I’m open to negotiating pay depending on task difficulty:

• hourly rate, or
• fixed price per deliverable

Selection process

1. Intro call (fit + expectations + availability) + Light analytical task (quick, practical)
2. Post-trade analysis test (more realistic, based on sample data)

Disclaimer

• Contract / freelance only
• No visa sponsorship
• Long-term collaboration possible if the fit is strong

We are a fast-growing fintech project building a modern payment infrastructure for international digital businesses and high-risk industries.

Our platform works with global merchants, PSPs, and payment providers, helping businesses optimize their payment operations and scale internationally.

We invite an experienced Sales Manager with an iGaming payments background to join our team.

Responsibilities

• Develop new partnerships with iGaming operators and merchants
• Present payment processing and PSP solutions to potential clients
• Build and maintain relationships with key partners in the industry
• Identify new business opportunities and markets
• Work closely with internal payment and account teams

Requirements

• Experience in iGaming industry
• Experience selling payment processing / PSP solutions
• Strong network of contacts in iGaming or high-risk industries
• Strong communication and negotiation skills
• English B2+

What we offer

• Work with a fast-growing fintech payments project
• International team and global clients
• Remote work
• Opportunity to grow with the company

If you have strong connections in the iGaming payments ecosystem and enjoy building partnerships — we would be happy to welcome you to the team.

We are seeking a Firmware Engineer to contribute to the design and development of embedded firmware for our advanced DC/DC power conversion ICs.
In this role, you will create control firmware for a family of MCU-based digital power
controllers for various DC/DC power supply topologies. This will enable real-time control,
configuration, and communication with external systems through serial protocols such as
I2C, PMBus and UART.
If you have a strong foundation in embedded systems programming and are eager to learn
and grow your skills, we’d love to hear from you!

Responsibilities:
As part of this role, you will:
— Write and test embedded firmware for power IC applications using C.
— Implement real-time control and configuration firmware for embedded systems.
— Interface with serial communication protocols such as I2C, PMBus, and UART.
— FW development for peripherals such as ADC, DAC, and communication interfaces.
— Assist in debugging and validating embedded firmware with mixed-signal hardware in
a lab environment.
— Collaborate with hardware and software engineers to ensure seamless functionality.
— Create and maintain documentation, including feature descriptions, user guides, and
firmware design specifications.
— Contribute new ideas for firmware improvements and participate in code reviews to
maintain quality standards.

Qualifications:

— You are a hands-on engineer with a strong interest in embedded firmware development.
You are best equipped for this role if you have:
— BS or MS in Electrical Engineering, Computer Science, or related field.
— 4+ years of experience in embedded firmware development.
— Proficiency in C programming for embedded systems.
— Familiarity with serial communication protocols such as I2C, UART, or PMBus.
— Basic understanding of mixed-signal systems (combining analog and digital
components).
— Lab experience for debugging firmware with hardware circuits.
— Familiarity with version control systems (e.g., GIT) and debugging tools like JTAG.- Strong problem-solving skills and the ability to work in a collaborative team
environment.
— Good written and verbal communication skills in English language.

Preferred Skills (Nice to Have):
— Know-how and experience in DCDC power conversion systems.
— Experience with version control systems like GIT.
— Proficiency with JTAG debuggers and debugging firmware systems.
— Familiarity with bare-metal, RTOS environments, and device drivers.
— Programming experience with Python.
— Expertise in serial communication protocols such as I2C, PMBus, and UART.
— Experience with bug tracking systems like JIRA.

For an international iGaming holding that is actively launching new online casino projects for the Tier 1-2 market, we are building a top-tier team and inviting an ambitious and experienced Head of Affiliate who will be able to build and scale a partner program capable of taking the project to the next level.

Key Responsibilities

• Develop and launch an affiliate strategy for the Tier 1-2 market
• Build and expand a strong network of partners (affiliates, media buyers, agencies)
• Establish a transparent KPI system and performance analytics for affiliate channels
• Manage budgets, optimize costs, and ensure strong ROI
• Lead negotiations, conclude agreements, and maintain relationships with key partners
• Build and lead a strong team (hiring, motivating, and developing affiliate managers)
• Monitor market trends and competitors while implementing industry best practices

What we expect

• Experience in the iGaming/gambling industry as an affiliate program manager or lead affiliate marketing specialist (2+ years)
• Experience working with Poland, Portugal, and Greece is a plus
• Deep understanding of affiliate marketing and models such as CPA/CPL/RevShare
• Excellent knowledge of traffic analysis tools (Google Analytics, AppsFlyer, Adjust, or similar platforms)
• Experience analyzing and optimizing traffic sources (SEO, PPC, media buying, social media, content marketing, push notifications, pop-ups, etc.)
• Developed analytical skills, ability to work with data, and decision-making based on performance metrics
• B2 level of English
• Ability to attend relevant conferences

What we offer

• Opportunity to influence the product strategy and growth
• Competitive compensation package (fixed salary + performance bonuses)
• Work in a multicultural team of professionals
• Career and professional growth opportunities within a large international holding
• Remote work format
• Fast decision-making processes and freedom from micromanagement

We aim to be the best among competitors and consistently achieve our ambitious goals.

Join the best and shape the future of the iGaming industry with us! 🚀

About the company

Our iGaming startup is more than just a business — it is a place where ideas, talent, and opportunities come together. 🤝

As part of an international holding, we bring global experience in the gaming industry to Tier 1 markets, while staying close to the culture and needs of players.

With us, you will have the opportunity to grow professionally, influence the product, and help shape the future of the gaming experience. 💯

We are a fast-growing fintech project building a modern payment infrastructure for international digital businesses and high-risk industries.

Our platform works with global merchants, PSPs, and payment providers, helping businesses optimize their payment operations and scale internationally.

We invite an experienced Business Development Manager with an iGaming payments background to join our team.

Responsibilities

• Develop new partnerships with iGaming operators and merchants
• Present payment processing and PSP solutions to potential clients
• Build and maintain relationships with key partners in the industry
• Identify new business opportunities and markets
• Work closely with internal payment and account teams

Requirements

• Experience in iGaming industry
• Experience selling payment processing / PSP solutions
• Strong network of contacts in iGaming or high-risk industries
• Strong communication and negotiation skills
• English B2+

What we offer

• Work with a fast-growing fintech payments project
• International team and global clients
• Remote work
• Opportunity to grow with the company

If you have strong connections in the iGaming payments ecosystem and enjoy building partnerships — we would be happy to welcome you to the team.

About the Company
     A fast-growing fintech project creating a modern payment management platform for international digital companies.

     Our platform connects multiple payment providers, payment methods, and financial analytics into a single infrastructure. With one integration, companies can manage payment routing, optimize approval rates, and scale their operations globally.

     We are developing a flexible payment ecosystem designed for high-volume online businesses and are now expanding our team. We are looking for an experienced Payment Account Manager with a background in high-risk payment processing who can work with merchants and help optimize payment operations.

Responsibilities

• Manage merchant accounts after onboarding and maintain long-term relationships
• Monitor payment performance (approval rate, decline rate, transaction flow)
• Communicate with PSPs, acquirers, and payment providers
• Support merchants in optimizing payment routing and payment flows
• Resolve operational issues related to payment processing
• Work closely with payment operations and technical teams

Requirements

• Experience working in high-risk payment processing (PSP)
• Previous experience as Account Manager / Merchant Manager / Payment Operations in payments or fintech
• Understanding of the payment ecosystem (PSPs, acquirers, payment providers, routing)
• Experience working with high-risk industries such as iGaming, crypto, forex, or similar
• English level: Upper-Intermediate (B2) or higher
• Strong communication and problem-solving skills

Nice to have

• Experience with payment orchestration platforms
• Basic understanding of payment integrations / APIs
• Experience working in international fintech or iGaming companies

What we offer

• Opportunity to work on a modern fintech product in the global payments industry
• Remote work and international team
• Competitive compensation
• A chance to grow with a rapidly developing payment platform

🚀 If you want to work on real payment infrastructure, collaborate with international merchants, and contribute to building a global fintech product — we’d love to meet you.

Join our team and help shape the future of payment orchestration.

Who we are

Workeron.ai is a product company that builds AI agents and digital employees for business.

We do not build abstract AI. We build real workers on AI who take over concrete tasks in operations, analytics, and management.

We need a CTO who still loves to code, loves architecture, and loves playing with new models and tools, not just running meetings.

Mission of the role

Turn Workeron.ai into a factory of AI agent solutions:

• Design the architecture of the platform and the “agent factory”
• Build and lead the engineering team
• Be hands-on in rapid product iterations and rebuilds
• Bring 1 to 2 product lines to stable, repeatable sales

Technology leadership

• Design the target architecture: agent core, orchestration, integrations, billing, security
• Choose the stack: LLM providers, vector stores, orchestrators, low code tools, observability
• Define standards for code, reviews, deployment, and monitoring

Hands-on development

• Write code with the team on critical paths
• Build the first versions of the platform and 2 to 3 key agent MVPs
• Rapidly rebuild and improve solutions based on tests and customer feedback

Product and founder collaboration

• Work with the CEO and product team to turn hypotheses into concrete technical solutions
• Propose your own product and feature ideas based on what is feasible and valuable
• Balance speed of experimentation with reliability of production

Team and processes

• Hire and grow a core team of 2 to 4 engineers (low code, fullstack, data, ML)
• Set up CI/CD and environments for fast PoCs and stable MVPs
• Establish an operating rhythm: tech planning, prioritization, demos, retros

Expected outcomes

After 1 month

• You have a clear grasp of Workeron.ai vision, hypotheses, and target segments
• Together with the team you have delivered 4 agent systems as MVPs for 4 existing hypotheses (each is usable, demoable, and tested with real internal or pilot users)
• Basic technical groundwork for further scaling these agents is documented and understood

After 3 months

• One product direction has been chosen as the main bet based on tests and traction
• For this direction you have built a scalable product version (not just MVP):
  • stable architecture
  • reproducible deployment
  • logging, monitoring, basic security and multi-tenant readiness where needed
• The product is ready to onboard paying customers at scale (not just custom one-off setups)

Requirements

• 6+ years of software development experience, 2+ years as tech lead or CTO\ Tech Lead in a product company or strong agency
• Strong fullstack or backend engineering background in SaaS products
• Practical experience with LLMs and AI: OpenAI, Anthropic, local models, vector databases, agents, orchestrators
• Ability to design system architecture, not only single services
• Bias to speed: you can ship PoCs in days and MVP in weeks not months, and know how to clean them up later
• Experience hiring and leading a small engineering team
• Comfortable translating business and product language into technical plans and estimates
• Background in building internal platforms or SDKs
• Early stage startup experience

What we offer

• A near cofounder role with real influence on product, technology, and company strategy
• Freedom to build your dream architecture and team from scratch
• Direct work with the founder, no corporate bureaucracy
• Remote first and flexible schedule

Equity

• Base compensation in cash
• Equity or options package tied to clear milestones, for example:
  • Launch of the first platform version
  • First paying customers on agents
  • Hitting a defined MRR or profitability target

Exact structure and size of equity are open to discussion and tied to real contribution and results.

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.

PwC Poland’s Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations. This hybrid role is based in Warsaw with flexible working options.

Your future role:

• Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory.
• Designing data flows using medallion architecture and supporting data migrations from legacy systems.
• Conducting data assessments with Data Modelers/Analysts and addressing data quality issues.
• Working with senior stakeholders to gather requirements and support modern data architecture design.
• Supporting Data Governance activities, especially around MDM and Data Quality.
• Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services.

Apply if you have:

• ~3 years of experience in Data Engineering or related fields (BI, Data Science).
• Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric.
• Experience building data warehouses/lakehouses with Azure Data Factory / Synapse.
• Skills in PySpark/Python and SQL.
• Some exposure to CI/CD (Azure DevOps, Jira).
• B2+ English and ability to prepare technical documentation.
• Experience using modern tech and AI tools in daily work.

Nice to have:

• Cloud certifications (Azure/AWS/GCP) and Data Governance certifications.
• Training via platforms like Coursera/Udemy/Datacamp.
• Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM.
• Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation.
• Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services.

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

About Workeron.ai

Workeron.ai is a product company building AI agents and digital employees for modern businesses. Our agents take over repetitive operations, research, coordination and reporting so that teams can focus on creative and strategic work.

We are now forming the core team that will turn this into a scalable product business.

Your main goal is to build a marketing machine that:

• Systematically delivers a predictable flow of qualified B2b and B2c leads.
• Rapidly validates product hypotheses from product owners through real traffic, experiments and paid customers.

You should be able to design and run omnichannel funnels yourself, and read the numbers well enough to kill what does not work and double down on what does.

What you will do

1. Strategy and positioning

• Define and sharpen the value proposition of our AI agent products for different segments (founders, C level, operations, SMB, mid market).
• Segment the market by use case, industry and company size and map pain points for each.
• Build a 3 month and 12 month growth plan focused on fast learning cycles, not big one shot campaigns.

2. Growth experiments and hypothesis validation

• Turn product ideas into clear testable hypotheses: audience, problem, promise, offer, channel, metric.
• Design and run A/B tests on landing pages, pricing, bundles, trials, paywalls and onboarding flows.
• Quickly spin up micro MVPs or offer pages for new agent types and verticals.
• Use experiment results to give direct feedback to product owners and influence the roadmap.

3. Omnichannel funnels and performance marketing

• Build and manage end to end funnels across several channels:

   

  • Paid ads: Meta, Google, LinkedIn, possibly TikTok and others.
  • Content and organic: LinkedIn, X, YouTube, TikTok, blog, communities.
  • Email and marketing automation: lead magnets, nurture sequences, webinars.
  • Partnerships: agencies, consultants, platforms, affiliate programs.
  • In product funnels: free trials, demo flows, upgrade prompts.

   

• Set up tracking and analytics for each funnel: CAC, LTV, conversion by step, payback period, ROMI.
• Own budgets and continuously reallocate spend based on performance.

4. Content, creative and assets

• Create or commission high converting creatives: ads, videos, carousels, landing pages, one pagers.
• Build a content plan around use cases, case studies, live demos and behind the scenes of agent building.
• Manage contractors and tools for design, copy, video and no code landing page building.

5. Sales and product collaboration

• Align with founder and sales on ICP, qualification rules and follow up process.
• Prepare sales enablement materials: decks, demo scripts, battle cards, ROI calculators.
• Bring back structured insights from calls and campaigns: objections, desired features, language customers actually use.
• Help define and refine pricing and packaging based on real purchase behavior.

Expected outcomes

After 1 month

• Deep understanding of our product vision, current hypotheses and target segments.
• Clear written positioning and messaging for 2 to 3 core segments.
• At least 3 product hypotheses fully tested end to end: traffic, funnel, offer and pricing.
• For each of these 3 hypotheses there is at least one paying customer or paid pilot, with unit economics and funnel metrics documented.

After 3 months

• 1 to 2 best performing hypotheses are turned into scalable growth engines.
• For these winning directions you have:
  • Stable flow of qualified leads at planned CAC.
  • Repeatable process from first touch to paid deal.
  • Clear playbooks for channels, creatives, follow up and sales handoff.
• A tested channel mix with budget allocation rules and expected ranges for CAC, LTV and payback period.
• Weekly growth report and decision ritual based on numbers, not opinions.

Requirements

• 5+ years in digital marketing and growth in tech: SaaS, mobile products or B2B software.
• Proven track record of taking a product from near zero to repeatable sales through marketing.
• Hands on experience with ad platforms (Meta, Google, LinkedIn, etc.) and setting up tracking.
• Strong funnel and CRO skills: you know how to move numbers from impression to paid.
• Comfortable building and reading dashboards using GA4, Mixpanel, Amplitude or similar tools.
• Experience with English speaking markets (US or EU) is a strong plus.
• Solid written and spoken English (Upper Intermediate or higher).

You are a fit if you

• Think like a founder: count unit economics, not only clicks.
• Love experiments and speed more than long decks and perfect campaigns.
• Are comfortable in uncertainty and can design structure where there is none.
• Are genuinely curious about AI, agents and automation and want to be early in this wave.

What we offer

• Work directly with the founder and core engineering and product team.
• Real influence on product direction and go to market strategy.
• Remote first, flexible schedule, focus on outcomes not hours.
• Competitive compensation with potential equity or profit share after proving mutual fit.

Senior Full Stack Engineer (Laravel & React)

Location: Ukraine, Europe
Contract: B2B

Type: Full-time

Experience: 6+ years
 

Role Overview

As a Senior Full Stack Engineer, you won't just be closing tickets; you will be an architectural cornerstone of our platform. You will join a multidisciplinary product team dedicated to building a "best-in-class" user experience. This role is designed for a technical leader who thrives in a hyper-growth environment and enjoys the balance between deep engineering and product strategy.

Core Responsibilities

• Architectural Evolution: Take ownership of high-level architectural decisions to ensure the platform scales gracefully during our current hyper-growth phase.
• End-to-End Ownership: Design and implement robust, reusable APIs (Laravel) and sophisticated, high-performance frontend components (React/TypeScript).
• Technical Leadership: Lead project initiatives and coordinate small engineering pods (3+ developers) to deliver complex, high-impact features.
• Mentorship & Excellence: Elevate the team’s technical craft through rigorous code reviews, pair programming, and proactive knowledge sharing.

• Product Collaboration: Partner with product managers and designers to ensure that technical solutions align perfectly with real-world customer needs.

   

The Tech Stack

• Backend: PHP 8.x / Laravel
• Frontend: React.js / TypeScript
• Database: MySQL 8
• Infrastructure: Docker, Kubernetes, CI/CD pipelines

• Methodology: Strong emphasis on TDD (Test-Driven Development) and Clean Code.

   

What You Bring to the Table

We are looking for a "product-first" engineer who understands that elegant code is a powerful means to solving actual customer problems.

• Proven Experience: 6+ years of professional software development, with deep, hands-on expertise in the Laravel and React ecosystems.
• Leadership Track Record: Demonstrated ability to lead technical projects and guide the professional growth of mid-level peers.
• Product Mindset: Experience working in product-led environments where you balance "perfect" code with "time-to-market" demands.
• Communication Skills: Fluent English proficiency. You can articulate complex technical concepts to non-technical stakeholders and confidently join customer calls when a senior perspective is required.
• Scale-up Attitude: A proactive, "everything-is-possible" mindset. You enjoy the dynamic, fast-paced nature of a scaling company.

We are looking for a highly experienced Senior AI/ML Engineer to lead the creation of a next-generation real-time biometric estimation system for global sports broadcasts.

About the Project:
We are building a real-time, non-contact system to estimate athletes’ exertion for live sports broadcasts. Using high-speed video and computer vision, it predicts force metrics with 85%+ accuracy, replacing traditional sensors, with low-latency and robust performance under complex conditions.

Key Responsibilities:

Phase 0 – Pilot

• Design ML architecture for grip estimation
• Train initial model (force sensors + video data)
• Build training & data labeling pipeline
• Validate across diverse athlete profiles
• Achieve 75%+ correlation

Phase 1 – Demo

• Refine model using demo event data
• Implement 2-second per-athlete calibration
• Optimize for edge cases (skin tones, hand sizes)
• Achieve 80%+ correlation

Phase 2 – Production

• Improve accuracy toward 85%+
• Optimize inference to <40ms (P99)
• Implement advanced scoring features

• Production hardening & reliability improvements

   

Required Skills:

• 5+ years of experience in applied machine learning/deep learning
• Strong background in computer vision and image-based regression tasks
• Hands-on experience with PyTorch or TensorFlow for production systems
• Experience with real-time inference optimization (TensorRT, ONNX Runtime)
• Understanding of signal processing and temporal data analysis
• Experience training models on diverse datasets (handling bias, data augmentation)

• Proven track record achieving high-accuracy requirements (>80% on complex tasks)

   

  Strongly Preferred:

• Experience with biomechanical or physiological signal estimation
• Knowledge of optical/visual phenomena (skin blanching, perfusion, micro-tremors)
• Experience with few-shot learning or transfer learning approaches
• Background in sports analytics or human performance monitoring
• Experience with active learning for iterative model improvement

• Published research or patents in computer vision/ML domains

   

  Nice to Have:

• Experience with NIR (near-infrared) imaging or multi-spectral analysis
• Knowledge of pose estimation frameworks (MediaPipe, OpenPose)
• Experience with edge ML deployment on NVIDIA platforms
• Familiarity with time-series forecasting or sensor fusion

Soft Skills:

• Technical leadership: Ability to make critical architectural decisions under uncertainty
• Problem-solving: Creative approaches to novel ML challenges (no precedent for optical grip estimation)
• Communication: Clearly explain complex ML concepts to non-technical stakeholders
• Adaptability: Rapid iteration based on real-world performance feedback
• Ownership: Take full responsibility for model accuracy through systematic experimentation

About the Role

We are expanding our AI practice and are looking for a hands-on Lead AI Consultant who can step into real business contexts, understand how companies operate, and design practical AI Agent–based solutions that automate processes, reduce manual work, and improve efficiency.

We are looking for a consultant - someone who designs, builds, evaluates, explains, and delivers.

You will work across internal initiatives and client projects, collaborating directly with business stakeholders, department heads, and technical teams. 

Key Responsibilities

AI Agents & Automation

• Design and implement AI agents that act as technical/operational assistants (process execution, monitoring, decision support).
• Translate business problems into practical AI use cases using LLMs, APIs, and orchestration frameworks.

• Build end-to-end automation flows integrating AI agents with enterprise systems.

   

Business & Consulting Work

• Engage directly with business stakeholders and department heads to understand workflows, constraints, and priorities.
• Evaluate client businesses and map current IT and process landscapes.
• Propose realistic AI-driven improvements aligned with business goals, security requirements, and operational constraints.

• Support clients in adopting AI solutions, including explaining how systems work and how teams should interact with them.

   

Technical Design & Security

• Design AI solutions with a strong focus on security, compliance, and data protection, especially for enterprise and regulated environments.
• Work with APIs, system integrations, and data pipelines to ensure stable and scalable solutions.

• Make architectural decisions balancing speed, reliability, and long-term maintainability.

   

Research, R&D & Enablement

• Continuously research new approaches in LLMs, AI agents, orchestration frameworks, and automation tools.
• Participate in internal R&D initiatives and help shape internal best practices.
• Contribute to knowledge-sharing and educational activities (internal sessions, client workshops, presentations).

• Support product teams with AI expertise when needed.

   

Pre-Sales & Client Interaction

• Participate in pre-sales activities: technical discovery, solution design, estimations, and presentations.
• Help shape proposals and technical narratives for clients.

• Represent the company in client meetings as a trusted technical and business advisor.

   

Requirements

• Strong technical background (engineering, architecture, or senior technical consulting).
• Practical experience working with LLMs, APIs, and automation systems.
• Hands-on involvement in client-facing roles (consulting, solution delivery, pre-sales).
• Experience evaluating business processes and proposing technical solutions.
• Solid understanding of:
  • Generative AI & LLMs
  • AI Agents and orchestration concepts
  • APIs and system integrations
  • Business process automation
• Ability to quickly understand how a business operates and turn that understanding into working AI solutions.
• Strong communication skills - able to explain complex technical topics to non-technical audiences.
• Comfortable working in environments with rapid change and evolving requirements.
• Curious, pragmatic, and solution-oriented.

• Fluent English is required; additional languages (e.g., Arabic, Italian, German, French) are a plus.

   

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• MBA or equivalent business leadership training preferred.

Build the data backbone for scalable analytics

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Senior Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

In this role, you will expand and maintain our AWS-based data warehouse, design analytical data models, and build reliable data pipelines that power reporting and business intelligence. If you enjoy working with modern data infrastructure, optimizing pipelines, and collaborating closely with analysts and product teams — this role may be a great match.

Your key responsibilities will include:

– Extend and maintain the existing AWS-based data warehouse by expanding the dbt infrastructure and developing new transformation models using SQL and dbt.
– Design and optimize analytical data models in Amazon Redshift to support reporting and business intelligence use cases.
– Develop and maintain data pipelines orchestrated in Amazon MWAA (Airflow) using Python-based DAGs.
– Migrate existing data pipelines from AWS Glue to MWAA to improve orchestration, maintainability, and scalability.
– Build data ingestion and transformation workflows that process data from multiple sources such as Kafka, MongoDB, and PostgreSQL.
– Implement data validation and verification scripts using Python, pandas, and numpy to ensure data quality and reliability.
– Collaborate with analysts and product owners to deliver well-structured datasets and ensure data integrity, performance, and accessibility.

It’s a match if you have:

– 3+ years of experience in data engineering or related roles.
– Strong understanding of data warehousing concepts, ETL/ELT processes, and data transformation techniques (MWAA preferred).
– Hands-on experience with data ingestion and processing using Kafka.
– Proficiency in SQL and experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
– Experience with Python programming for data processing, automation, and pipeline development.
– Ability to work independently, take ownership of data systems, and collaborate effectively with analysts and product owners.
– Excellent communication and collaboration skills.

What we offer:

– Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

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

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

What you will be doing

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

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

   

What is critically important for us

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

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

   

A plus would be

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

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

   

How we work

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

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

   

Within 1 month we expect from you:

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

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

   

How to apply

Write briefly:

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

     and attach your resume or a link to LinkedIn.