Jobs AI

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

Dataforest is seeking a QA Engineer to join our team. If you’re a strong Manual QA who actively uses AI to generate test data and write basic checks faster — you’ve found the right place. We’d love to see your CV!

    What you'll do:

• Conduct manual testing of web applications, assessing both frontend UI/UX and backend API behavior.
• Perform functional, regression, integration, and exploratory testing throughout the entire SDLC.
• Perform API testing using Postman or similar tools.
• Perform database validation using SQL queries to verify data integrity, transformations, and backend logic.
• Using AI create and maintain test documentation (test cases, checklists, bug reports).
• Leverage AI assistants (e.g. Claude) to create automated API and E2E scripts to optimize manual QA workflows.
• Collaborate closely with developers and project managers to maintain high quality standards across the SDLC.
   

     You'll be a great fit if you have:

• 2+ years of hands-on QA experience with web applications built on modern JS frameworks (React, Vue, Angular, pure JS) and REST APIs.
• Active use of AI in your workflow: practical experience applying AI tools for automation, test case generation, or troubleshooting.
• API testing experience using Postman (collections, environments, basic scripts).
• SQL skills for database querying and data validation.
• Solid understanding of the Software Development Life Cycle (SDLC) and QA methodologies.
• Hands-on experience writing clean, comprehensive test documentation.
• Proficiency with teamwork tools: JIRA, Confluence, Git/Bitbucket.
• Strong communication skills and a positive, team-oriented mindset.
• English level: Intermediate (B1) or higher (strong written and spoken communication for daily team collaboration).
   

     Would be a plus:

• Experience testing Stripe, PayPal, or other third-party payment integrations.
• Basic understanding of CI/CD pipelines and how QA fits into automated delivery workflows.
• Experience testing data engineering projects: ETL pipelines, data warehouses, or data integration workflows.
• Experience with web scraping projects — understanding of scraping logic, data extraction validation, and edge case handling.
• Experience with AI/ML product testing — familiarity with testing LLM-based features, recommendation systems, or other non-deterministic outputs.
  
  We ensure your growth with:
• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

If you have 3+ years of experience in B2B sales for software development or IT outsourcing, know how to win clients in Western markets and feel confident talking about Blockchain and AI we’d love to meet you.

Responsibilities

• Work the referral network: past clients, partners, investors — into CRM, keep contact, get introductions.
• Find new leads: identify companies and the right people inside them, personal outreach from your own account.
• Screening, first calls and qualification: need, budget, timeline. Pass qualified conversations to the CEO for closing.
• Keep the CRM current and report weekly on the funnel.
• Propose and test new channels and approaches to client acquisition.

Requirements

• 3+ years selling development services or IT outsourcing in B2B, Western markets
• You know blockchain and AI well enough to hold a technical conversation with a CTO without a translator
• Written English C1+
• A track record of closing cold leads and finding clients from scratch
• Experience running a CRM and reporting
• You actively use AI where it makes sense

Nice to have

• Fintech, trading or quant experience
• Your own network in web3

Codebridge is turning design into something new: a product lab that ships. We built Lispr (lispr.ai) — a native Mac dictation app that went from idea to Product Hunt in two months and hit 46,000 dictations from 29 countries in its first three weeks. Now we're hiring AI-First Product Builders — the people who can do that on repeat. Figma is nice. AI has no taste — you do.

Responsibilities:

• Invent, build, and launch small products under the Codebridge brand — idea, design, working code, landing page, live URL
• Build v1s in days with the full AI stack: Claude Code, Cursor, v0, Lovable, Higgsfield — whatever ships fastest
• Build discovery-phase prototypes that win client deals — a demo that hits the client's exact pain beats any deck
• Take a product from zero to one, then hand it to our engineers for production hardening — you own the spark, we own the scale
• Work like a founder inside the company: pick problems worth solving — yours or a client's — kill your weak ideas fast, defend the strong ones

Requirements:

• Taste — your work looks expensive and convincing, and you can explain why every pixel and every word is there
• Shipped things: 2–3 live links to products, sites, or experiments you built fast — these matter more than any CV
• Daily fluency with AI building tools (Claude Code, Cursor, v0, Lovable) and AI media tools (Higgsfield, Midjourney or similar)
• Product sense: for anything you build, you can name the problem, the person who has it, and why now
• Speed: clickable in hours, shipped in days — perfection is a v2 problem
• High agency — you don't wait for a brief, you write it
• No degree, no CV screening, no English requirement — your work speaks for you

Recruitment Process:

1. Application Form
2. Questionnaire
3. Test Task — think it up, build it, ship it, send the link (5 working days; what you build stays yours)
4. Live Session — we build something together on a call
5. Job Offer

We Offer:

• Skin in the Game: A market salary that doesn't depend on your products taking off — and when one does, you share in the upside, with the exact mechanics written into your offer, not promised over a handshake
• Distribution Included: You build it, we take the winners to market — the way Lispr reached 29 countries in three weeks
• Founder-Level Autonomy: Own the whole loop from problem to live URL — no ticket queue, no design-by-committee
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually
• Cutting-Edge Tools: Premium subscriptions to the full AI stack (Claude Code, Cursor Pro, Higgsfield, etc.) — used by the whole company, not just you

SupportYourApp is an international Intelligent Support-as-a-Service company that has been providing business process outsourcing services to IT companies around the globe for the past 15 years. We have 1500+ people in our international community.

We operate globally, supporting clients in 60 languages and partnering with industry leaders like MasterCard, Calm, and MacPaw. With international hubs and coworking spaces around the world, we develop innovative products like Quidget and continuously work to improve the customer experience.

About the role:

We are looking for an AI Solutions Engineer to join our team and lead the design and implementation of AI-powered solutions for customer support and business operations.

In this role, you will translate business and operational requirements into scalable technical solutions, design AI architectures, evaluate technologies and integrations, and guide solutions from discovery through implementation.

You will work closely with clients, internal teams, and technical stakeholders to identify the right AI approach for each use case and ensure that solutions are reliable, scalable, and aligned with business goals.

What you will do:

• Design end-to-end AI solutions based on client business and technical requirements;
• Define solution architecture, integrations, data flows, and implementation approach;
• Design and implement AI-powered solutions, including conversational AI, chatbots, agent assist, and automation;
• Work with LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval systems;
• Lead technical discovery and solution design sessions with clients and internal teams;
• Conduct demos of proposed AI solutions and explain their functionality, capabilities, and business value;
• Troubleshoot technical issues and drive solutions through to resolution.

What you need to succeed in this role:

• Fluency in English (C1+ / Advanced+);
• Practical experience taking an AI support solution from implementation/configuration to actual use by customers or support teams;
• Experience implementing AI-powered chatbots, voicebots, or other conversational AI solutions specifically for customer support or customer service operations;
• Hands-on experience with AI and automation platforms (for example, Zendesk AI Agents, n8n, Voiceflow, Botpress, Cognigy, or similar tools);
• Understanding of LLMs, Generative AI, RAG, prompt engineering, and AI agents;
• Solid understanding of APIs, integrations, databases, and system architecture;
• Ability to translate business requirements into scalable technical solutions and communicate technical concepts to both technical and non-technical stakeholders.

Will be an advantage:

• Hands-on experience with helpdesk platforms (for example, Zendesk, Freshdesk, and Intercom), including their automation and AI features;
• Experience with AI evaluation, monitoring, and guardrails;
• Experience working directly with clients during technical discovery and solution design;
• Experience leading implementation projects.

Benefits and Perks:

• Providing services during business hours;
• Opportunity to cooperate fully remotely;
• Inclusive international environment;
• Compensation in USD;
• Rewards for referring friends;
• Balance between project workload and personal time, but also – internal health policy;
• Responsive leadership interested in your growth and long-lasting cooperation;
• Greenhouse conditions for self-development;
• A culture built on trust, with no time-tracking requirements.

*The items listed in this section may vary depending on the terms of your engagement. Certain benefits and conditions typically apply to employees; independent contractors may not be eligible for all of these. The specific terms, including compensation, benefits, and work conditions, will be clearly defined in your agreement if selected.

You can learn more about the company and its culture by visiting our official website and social pages on Facebook, Instagram, and LinkedIn.

Are you passionate about connecting systems and driving intelligent automation? Do you thrive in fast-paced environments where you can analyze workflows, implement AI solutions, and collaborate with teams to deliver scalable, high-impact results?

Grab the chance to join us and send your CV in English, pointing out your outstanding skills!

Know someone perfect for the role? Refer them and get rewarded! 

We adhere to the principles of equal treatment of candidates and prohibit discrimination on any grounds protected by law.

Your personal data will be processed as described in the SupportYourApp Candidate Privacy Notice.

About the Project:
• We are looking for a Senior AI/ML Engineer to join a product AI team developing an AI-powered CRM system.
• The product includes an AI assistant that performs user-requested tasks within the CRM.
• Its architecture includes proprietary LLM APIs, a personalized RAG/context system for each user, agentic workflows and scheduled agents.
• A major focus of the project is optimizing the AI system, controlling token usage and costs, and ensuring reliable production performance.
About the Role:
• This is a hands-on role covering the full LLM stack.
• The engineer will work with LLM application engineering, agentic systems, RAG, context management, fine-tuning, model deployment and production MLOps.
• The role goes beyond prompt engineering or simple LLM API integration.
• The person should be able to make technical decisions independently and take AI functionality from an idea to production.
Responsibilities:
• Design and improve agentic workflows and AI systems.
• Work with LLM APIs and the existing AI architecture.
• Develop RAG and context systems to personalize the user experience.
• Optimize token usage and AI-related costs.
• Fine-tune or adapt models when necessary.
• Participate in deployment, monitoring and production support of AI systems.
• Improve the quality, stability and scalability of AI solutions.
• Make architectural decisions and independently drive tasks from idea to implementation.
Requirements:
• Senior-level experience in AI/ML and LLM projects.
• Proven experience building and deploying AI systems, not only prototypes or experiments.
• Experience with agentic systems, RAG or other LLM-based solutions.
• Understanding of fine-tuning, model adaptation and model evaluation.
• Experience with production deployment and MLOps.
• Strong software engineering and architectural skills.
• High level of autonomy and ownership.
Candidate Profiles:
• We are open to both strong ML/research engineers with productionization experience and production-focused LLM engineers with deep experience building, optimizing and operating AI systems.
• In either case, senior-level ownership and hands-on experience are essential.
Nice to Have:
• Experience with multi-agent systems and scheduled agents.
• Experience optimizing the cost and performance of LLM systems.
• Experience with self-hosted models, GPU inference or model serving.
• Experience working on AI products and complex user workflows.
• Experience processing different data formats and working with text-based AI systems.

About the Company

Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, prediction markets, and enterprise-grade white-label integrations for institutional clients worldwide.

We are looking for an exceptional, cutting-edge AI-Native Product Manager to own our core Institutional Trading & Derivatives product suite. This is an elite technical product role where deep financial domain mastery meets absolute state-of-the-art AI orchestration.

Key Pillars of Success

To excel in this role, you must bring a battle-tested foundation across three non-negotiable pillars:

1. Cutting-Edge AI-Native Execution: You don't just use ChatGPT or Claude for PRDs and prototyping. You operate with autonomous agents, MCP (Model Context Protocol) integrations, browser/computer use, and human-in-the-loop review loops to dramatically multiply your operational throughput.
2. Deep Trading & Derivatives Mastery: You possess a deep, structural understanding of institutional market mechanics, order lifecycles, margin systems, liquidation engines, funding rates, oracles, exposure, and hedging.
3. End-to-End Ownership & Measurable Impact: Your ownership doesn't end at handing docs to devs or launching on staging. You own the full lifecycle—from discovery, build, and QA to client rollout, adoption, and iteration—backed by self-derived, quantified metrics (e.g., SQL-verified impact).

What You'll Do

• Product Ownership: Take complete end-to-end ownership of our white-label institutional trading, derivatives, and risk management infrastructure.
• Agentic Workflow Integration: Leverage autonomous AI agents and MCP servers to automate complex product research, spec generation, QA verification, and client delivery workflows.
• Institutional Client Rollout: Partner directly with institutional clients and B2B partners to deeply understand their trading workflows, capture complex requirements, and drive product adoption.
• End-to-End Execution: Drive features through the complete lifecycle: discovery, system spec definition, hands-on engineering alignment, QA validation, launch, and post-launch analytics.
• Data & Impact Analytics: Autonomously query databases (SQL) and analytics tools to track, measure, and optimize real client usage and performance metrics post-launch.
• Engineering & Business Alignment: Challenge technical and business assumptions constructively, maintaining direct, transparent communication across cross-functional engineering teams.

AI-Native Expectations

We are looking for candidates who operate at or above the absolute cutting edge of AI tooling:

• Agentic Workflows: Hands-on experience building or utilizing MCP (Model Context Protocol) integrations, autonomous loops, or computer/browser-use agents.
• Execution & Leverage: Using AI as a force multiplier across all product phases—from automated code/spec reviews and workflow automation to deep data processing and client communication.
• Technical Integrity: Using AI to elevate your productivity without substituting AI output for genuine domain expertise or critical engineering judgment.

Who You Are

• Autonomous & Proactive: Capable of taking a broad product domain and generating tangible, visible value within your first 90 days without step-by-step guidance.
• Transparent & Honest: Grounded in high integrity, objective self-awareness, and clear communication. You know your strengths, acknowledge knowledge gaps directly, and never bluff technical answers.
• Systems Thinker: Comfortable reasoning about APIs, data flows, state machines, edge cases, and complex risk models alongside senior engineers.

Qualifications

• English: Upper-Intermediate to Advanced (both written and verbal) for high-stakes institutional communication.
• Experience: 4+ years of software product management experience, specifically within fintech, crypto trading platforms, or institutional finance.
• Domain Expertise: Proven hands-on experience with institutional trading infrastructure, derivatives (perpetuals, futures, options), risk mechanics, margin, and liquidity.
• B2B / Client-Facing Delivery: Demonstrated track record of launching white-label or enterprise B2B products directly for external institutional clients.
• AI-Native Mastery: Practical, advanced usage of modern agentic AI tools and environments (MCP, Cursor, Claude Code, autonomous loops).
• Data Competency: Solid experience writing SQL queries independently to measure feature performance, user funnels, and adoption metrics.

Bonus Points:

• Software development or engineering background.
• Direct experience running or supporting a trading desk, market-making operations, or liquidity adapters.
• Deep knowledge of crypto-native derivatives protocols, Web3 infrastructure, or prediction markets.

We Offer

• Flexibility & Hubs: Flexible working hours with physical office access in Ukraine and Poland (Wroclaw).
• Health & Wellness: Medical Insurance in Ukraine and Multisport program in Poland.
• Time Off: Paid vacation, sick leaves, and observance of official holidays.
• Growth & Support: Corporate English classes up to three times a week, plus mentoring and educational budgets.
• Contractor Support: Complete tax and accounting services provided for Ukrainian contractors.
• Equipment: High-end hardware and development equipment provided by the company.
• Culture: Regular corporate activities (team buildings, tech talks, parties) combined with an advanced bonus system.

ABOUT OUR CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

RESPONSIBILITIES

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

REQUIRED QUALIFICATIONS

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

DESIRED SKILLS

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

DETAILS

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

We build and run AI agent systems for founders. Four are in production — German real estate, US legal tech, executive assistance, enterprise HR analytics — with paying clients since 2023 and revenue that renews monthly.

Every one of those clients arrived by referral. Nobody here has ever gone out and found one.

That's the seat. You'd be the first person to do outbound at this company.

What we sell

Technical ownership of a founder's roadmap and its execution, from one person. One weekly call, cancellable at the end of any month. The price is published, not quoted.

Who buys it

Two shapes, and they buy for different reasons:

• A founder with no technical half. Non-technical, or technical enough to judge the work but not to own it. Has money and a specific thing they want to exist, and nobody who can build it. This is often one person — headcount doesn't bound it
• A 3–20 person company with deep domain expertise, owner-operated, doing something valuable by hand. They know their domain better than we ever will and have nobody who can turn it into a system

What they share is that the person on the call is the one whose money it is, and that nobody inside can build the thing.

What you'd do

• Find both shapes — the second one is the half most people forget, and it's the one that's already profitable
• Verify each one against four checkable facts, before any meeting is booked
• Get them onto our founder's calendar
• Sit on the scoping call — you're on every one of them
• Target: four qualified founders a month. That's the entire KPI

What we're looking for

• 2+ years selling custom software development or dev services. Not SaaS seats, not staff augmentation
• At least one deal you closed where the signer was the founder
• You can see when a founder is about to buy, from public signals. Ours have been: money already spent on a prototype with nothing running; an engineering role open for months at a company too small to assess the candidates; the one technical person just left and the roadmap went with them. And on the domain-expertise side: a third hire into the same manual role, or an ops ad whose responsibilities read as a list of steps
• You can tell a real buyer from a curious one before we spend an hour on them
• You work without being managed. There is nobody here to check in on you, set your week, or notice you've stalled. The target is the only instruction you get
• English B2 or better

Format

• Fully flexible, your own hours, we are okay with you being employed somewhere else at the same time or running your own business
• Independent contractor, commission-based — paid per qualified meeting and per closed deal. No base. Figures and full terms come in a two-page sheet after we've talked

About the Role

As a Senior Business Systems Analyst at Pearl, you’ll play a central role in enabling workflow and workforce AI transformation, with a strong emphasis on Agent Hub requirements analysis, platform support, and project coordination. This role blends classic BSA responsibilities with project management and practical AI fluency, supporting both Agent Hub product evolution and broader AI transformation initiatives across the organization.

You’ll help define and document requirements for complex AI opportunities, translate high-level ideas into actionable work, and coordinate across engineering, prompt engineering, and internal stakeholders. This is a hybrid role designed to support both requirements analysis and execution oversight for high-impact AI operations and transformation projects. You’ll be a heavy, daily user of AI tools, not just experimenting on the side, while also contributing directly to the development and improvement of AI tools and features, especially within Agent Hub and related AI transformation initiatives. This is a great opportunity for someone who wants to work at the center of a company’s AI transformation, with meaningful ownership across both platform evolution and broader AI operations, and the chance to help shape how AI enabled work gets defined, prioritized, and operationalized.

What You’ll Do

• Evaluate and document Agent Hub product requirements, including defining requirements for future platform capabilities such as next-generation meeting recap functionality
• Coordinate with the engineering team on features, bugs, and feedback to support ongoing platform improvement
• Manage and optimize the Agent Hub platform, including monitoring operational dashboards and directing follow-up actions where needed
• Test and evaluate new Agent Hub features and fixes
• Evaluate and document requirements for major AI transformation projects, such as an Analytics Deep Dive Assistant and other complex AI opportunities
• Coordinate with Prompt Engineering on the execution of AI transformation projects, from scoping through delivery
• Translate high-level, ambiguous AI ideas into clear, actionable requirements and documentation
• Use AI tools daily to support efficient execution across analysis, documentation, prioritization, and project coordination work

What We’re Looking For

• Excellent understanding of requirements development, documentation, and management (core BSA skills)
• Strong project management skills to self-manage and coordinate various activity streams
• Good understanding of Lean / Agile software development
• Strong stakeholder communication and coordination skills
• Excellent knowledge and use of AI tools and techniques across different types of work and tasks
• Ability to translate high-level, ambiguous ideas into structured, actionable requirements
• Comfort working cross-functionally with engineering, prompt engineering, and internal business stakeholders
• Strong attention to detail and ability to manage competing priorities in a fast-paced environment
• Curious, analytical mindset with a genuine interest in AI, automation, and business process improvement
• Experience monitoring operational dashboards and driving data-informed follow-up actions is a plus

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

Competera uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both: cutting-edge math ’under the hood’ and for deep expertise in the pricing domain. We are looking for an MLOps Engineer to develop the platform that supports the entire ML models lifecycle in production.

You could be a perfect match for the position if
You want to:
 

• Develop tools for Data Scientists that help them to scale in their operations and routines.
• Develop pricing algorithm/systems based on DS research; convert prototypes to robust systems for enterprise retailers.
• Build/optimize ML and mathematical algorithms. 
• Improve Data Scientists’ Dev Experience.
• Create/optimize data pipelines and systems for ML models.
• Optimize SDLC for ML models.
• Implement backend systems to expose ML systems for other platform components.

You have:

• Education in STEM-related fields, Computer Science/Math/Physics is preferable.
• Understanding of ML models training lifecycle.
• Python experience 5+ years.
• Ability to understand key ML principles and terms (loss, training loop, gradient descent, statistics, etc.).

You’re gonna love it, and here’s why:
 

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

We are currently looking for a Senior AI Platform and Model Operations Engineer to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

You'd own the models and the platform around them, serving every channel we put in front of a patient.

The phone assistant is first because it's already underway, but it isn't the point of the job. Next is a chat assistant in the patient portal that can answer questions and walk someone through booking an

appointment, and after that whatever channel comes along.

The thing you're actually building is one internal API that every channel calls, so that the rules about what a patient can do live in one place instead of being written three times, slightly differently. The phone assistant and the web chat are two front ends onto the same thing.

Alongside that: moving off the vendor. Right now we pay per minute for speech recognition and language models, and within about a year we want to be running them ourselves — because we're dealing with

patient data, and because we don't want a vendor swapping a model underneath us without telling us.

To be clear about scope: we mean serving open-weight models and adapting them to our domain. We don't mean training a model from scratch.

One thing we want to be direct about. We are not looking for someone to build what we've already decided on. We don't yet know whether running these models ourselves is the right call — we don't have an accuracy figure on real German phone audio, and we don't have a proper cost comparison. Your first job is to produce both, and if they say we should keep paying the vendor for another year, we need you to tell us that plainly. Someone who quietly builds the thing because we asked for it is worse than no hire at all. If being the person who says "the numbers don't support this" makes you uncomfortable, this isn't the job.

You need

• To have put a language model behind an API that more than one product called, and kept it running.
• Streaming responses, timeouts, retries, and errors that tell the caller something useful.
• To have run a speech recognition or language model in production on hardware you were responsible for. Not a notebook, not someone else's API.
• To be able to size and cost it: how many people one GPU will serve at once, what an hour of audio or a million tokens costs you, where it starts to fall over.
• Tool calling in production, and a clear view on where the boundary sits. The assistant will guide patients through booking, which means the model proposes an action and our code decides whether it's allowed. If you've built something where the model was effectively trusted to act, we'd want to talk about what you'd do differently.
• To have dealt with untrusted text reaching a model that can trigger actions. A chat box on a patient portal is a much easier thing to attack than a phone call, and someone will try.
• Experience grounding a model on your own content so it stops inventing things — and honesty about where that still fails.
• Experience fine-tuning or adapting an open-weight model, LoRA or PEFT or something equivalent, and the honesty to say whether it was worth the effort.
• A habit of being suspicious of your own benchmark numbers, especially the good ones.
• To understand that using patient conversations to train a model is a different legal question from using them to answer one. If that distinction is new to you, this role probably isn't the right fit.
• Python and Linux, containers, and a serving stack like vLLM or TGI.
• Enough experience to work without an ML team around you, and to tell a team lead something he'd rather not hear.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Quantization, and a view on what it costs you in accuracy.
• Audio processing: sample rates, codecs, what a phone network does to a recording.
• GPU scheduling, Kubernetes.
• Having built something where the same assistant had to behave consistently across more than one channel.
• Having worked somewhere GDPR was taken seriously rather than mentioned occasionally.

You don't need

• To have built a voice assistant, or to know anything about telephony. That's the other role, and the phone channel is only one consumer of what you'd build.
• To speak German.
• To know PHP . You'd define what our backend needs to expose; another team builds it.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Middle Graphic Designer to join our team!

Requirements:

- 3+ years of experience in Photoshop and Figma, familiar with Illustrator;

- Work experience in Media, iGaming or GameDev;
- Has a portfolio that makes parents proud;
- Is a pro in working with marketing media content (banners, brandings, ad illustrations, etc.);
- Constantly looking for new design solutions, when there is nothing to do improves hard skills;
- Reads articles and watches videos about new design trends instead of scrolling social media feed;
- Can talk endlessly about what a complimentary color and a closed composition are;
- Knows how to take initiative and the meaning of responsibility and self-organization;
- Knows how to work in a team (and not just work).

Will be plus:

- Friendship with AI
 

Responsibilities:

- Creation of visual concepts within the company's brand books;
- Development of new design templates, promotional materials, landings;
- Development of media content for casinos and betting;
- Development of templates and design for email newsletters.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided;
- Paid vacations, sick leave, personal events days, days off;
- Referral program — enjoy cooperation with your colleagues and get the bonus;
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
- Rewards program for mentoring and coaching colleagues;
- In-house Travel Service;
- Multiple internal activities;
- Other benefits could be added based on your location.

We are looking for an AI Content Creator (Video & Visuals) to join our team. If you know how to generate high-quality AI videos and images and want to create engaging visual content for our social media and ad campaigns, we want to hear from you!

🌍 ABOUT THE PROJECT 

Mobile app that turns photos of kids into personalized, illustrated bedtime stories.

RESPONSIBILITIES 

✅ Generate short AI videos (9:16) for TikTok, Reels, and ads.

✅ Create images, illustrations, and multi-slide carousels for Instagram.

✅ Keep character features and visual style consistent across all content.

✅ Do basic video and graphic editing.

REQUIREMENTS 

🔹 Mandatory: Portfolio or work examples of AI-generated videos and images.

🔹 Hands-on experience with AI video tools (Kling, Runway, Luma etc).

🔹 Hands-on experience with AI image tools (Midjourney, Recraft).

🔹 Ability to create clean visuals without bad AI artifacts (keeping a warm, storybook digital art style).

🔹 Basic video editing skills.

If you're ready to create great content with us, send us your resume and portfolio! 📩🔥

We are currently looking for a Senior Voice AI Engineer, Evaluation and Reliability to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

Senior level, and we mean it. You would own the evidence that this system is safe to put in front of

patients, on your own judgement, and tell us when the answer is no. That isn't a job we can hand to

someone still learning what to measure.

You would not be building a voice stack. We use a third-party voice platform that already handles the

telephony, the speech recognition and synthesis, and the knobs for end-of-speech detection and

interruption. What it does not do is tell us whether any of that is working well enough for patients, and it

gives us no way to check that a change hasn't made things worse. That's the job.

So you'd own the conversation and the evidence about it: how the assistant behaves when a caller

interrupts, corrects themselves or won't answer; how fast the whole thing responds once a round trip to

our backend is in the loop; and the body of test cases we run before every change.

You need

• To have run a phone or voice assistant that took real calls from real users, and to be able to tell us what its response time was and how you measured it. Having built the audio pipeline yourself is fine but not the point — we care that you know what to measure and what good looks like.
• To have tuned a voice system rather than only shipped one: end-of-speech detection, barge-in, how long to wait before assuming the caller has finished. You'd be doing this against a vendor's settings rather than your own code, and their own documentation says clean barge-in can't be guaranteed on phone audio.
• To know what happens to speech recognition accuracy when the audio comes down a phone line instead of a good microphone, and to have measured it rather than read about it.
• A way of testing conversation changes that doesn't rely on listening to a few calls and hoping. This is the centre of the role. Whatever form it took — a replay harness, a scored scenario set, anything — we want to hear how it worked and where it let you down.
• Enough Python to build that harness and the tooling around it.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Having worked against a closed voice platform, with the frustrations that brings, rather than only your own stack.
• Telephony background: SIP , WebRTC, Asterisk, Twilio or similar. Useful for knowing why calls sound the way they do, though you would not be running any of it.
• Work with health data, or any other field where getting it wrong has consequences.
• German, though we're not counting on it.

You don't need

• To speak German.
• To have built streaming audio infrastructure, a turn-taking system or a speech pipeline. The platform does that, and rebuilding it isn't on the table.
• To know PHP or anything about our existing backend. Another team builds the endpoints you'd call.
• To have trained a model from scratch.