Jobs ML / AI

AgroPlace будує AI-native B2B продукт для аграрного ринку. Ми працюємо на перетині software, операційних даних, геопросторових інтерфейсів і реальних бізнес-процесів. Стадія продукту така, що людина, яка приходить тепер, має непропорційний вплив на архітектуру, AI-логіку і product engineering culture.

Шукаємо AI Product Engineer — інженера, для якого AI це не «ще одна фіча», а матеріал, з якого будується продукт. Ти проєктуєш, як LLM, агенти і evals живуть у production, і одночасно вмієш зібрати full-stack обв'язку навколо них — frontend, backend, дані, інтерфейс.

Це роль для людини, яка хоче рухатися від ідеї до production: зрозуміти проблему, спроєктувати AI-сценарій, зібрати MVP, виміряти якість, покращити архітектуру і довести фічу до стабільного стану.

Що потрібно буде робити

• Проєктувати і будувати AI-native продуктові сценарії: рекомендації, асистенти, сигнали, автоматизація робочих процесів.
• Інтегрувати LLM APIs, structured outputs, tool use, RAG, agent workflows — там, де це має продуктовий сенс, не «бо це модно».
• Створювати eval-first архітектуру: жодна AI-функція не виходить без вимірюваної якості, regression tests, контролю hallucinations, latency і cost.
• Проєктувати memory-шар: контекстну, користувацьку, доменну.
• Розробляти full-stack обв'язку: frontend, backend, API, інтеграції, бази даних, multi-tenant логіку.
• Працювати з map-based / geospatial інтерфейсами та даними.
• Швидко прототипувати нові AI-сценарії та доводити найкращі рішення до production-якості.
• Впливати на продуктові рішення: ставити правильні питання, бачити edge cases, пропонувати простіші шляхи.
• Підтримувати технічну якість: code review, refactoring, тестування, документація рішень.
• Потенційно вести окремий напрям продукту або невелику технічну команду.

Нам важливо

• Practical production AI: реально випущені LLM-функції, які використовуються живими користувачами. Не дослідницькі демо, не tutorial-проєкти.
• Розуміння, як AI ламається в продакшні: hallucinations, drift, latency, cost, prompt regressions, edge cases.
• Досвід з structured outputs, tool use, evals, guardrails.
• 4+ років досвіду у full-stack або backend розробці.
• Сильний досвід з TypeScript / JavaScript.
• Досвід з React / Next.js або схожим frontend-стеком.
• Досвід з backend: Node.js / NestJS / Express або інший production-ready backend.
• Розуміння баз даних, API, auth, permissions, multi-tenant архітектури.
• Архітектурне використання AI у щоденній розробці (Cursor / Claude Code / agents) — з розумінням, де воно пришвидшує, а де ламає якість.
• Product mindset: цікаво не тільки «як зробити», а й «для кого», «навіщо» і «що буде після релізу».
• Самостійність у технічних рішеннях без мікроменеджменту.

Буде плюсом

• Досвід з RAG, agent workflows, vector stores, hybrid search.
• Досвід з geospatial / map-based продуктами: Mapbox, PostGIS, spatial queries, tiles.
• Досвід у B2B SaaS, CRM, ERP, marketplace або data-heavy продуктах.
• Досвід в агро, logistics, climate-tech або field-operations доменах.
• Досвід побудови продукту з ранньої стадії.
• Досвід технічного лідерства: архітектура, review, менторинг.
• Досвід з PostgreSQL, Prisma, Supabase, AWS / GCP / Vercel.

Кого ми шукаємо

Людину, яка може взяти складну, не до кінця формалізовану задачу і перетворити її на працюючий AI-продукт.

Не «закрити ticket», а зрозуміти контекст, спроєктувати AI-сценарій, виміряти його якість і спокійно довести до нормального стану.

Особливо цінуємо людей, які не плутають AI-демо з AI-продуктом: розуміють, що якість треба вимірювати, ризики треба контролювати, а production AI потребує guardrails, evals і здорового скепсису.

Як ми працюємо

• Малий core team з високою інженерною планкою — кожен наступний наймається тим, хто вже є.
• Прямий контакт із founder / product team, без проксі.
• Sequencing > simultaneity: краще зробити одне якісно, ніж п'ять наполовину.
• Документуємо ключові рішення, не лише код.
• Цінуємо ясність, спокійний інтерфейс і сильну інженерну культуру.

Ми відповідаємо всім кандидатам у межах одного тижня.

Якщо ти хочеш будувати реальний B2B продукт, працювати з AI як інженерним матеріалом, а не як магією, і мати прямий вплив на архітектуру з ранньої стадії — надсилай. Решта деталей — на intro call.

Title: Principal AI Consultant, Agentic Strategy and Solutions
Reports To: Global Head of AI & Advisory
Department: AI & Advisory
Location: Remote US
Type: Full-Time

Working Hours: 9 AM - 5 PM EST

About Atlas Technica

Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world’s leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry’s first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation.

Our AI & Advisory practice doesn't just sell licenses. We architect the secure blueprints and complex agentic frameworks that allow elite investment teams to operate at the frontier of GenAI. We are currently scaling a product lane centered on Intelligent Workflow Design: a tiered, institutional offering designed to rewire how fundamental research and investment operations happen.

The Mission

We are looking for a Principal, Agentic Strategy & Solutions to architect and pilot our client-facing advisory business. This is a strategic player-coach role for an elite practitioner who is tired of making slides and wants to actually build the future of high finance.

You will start as our lead architect for client enablement, personally designing the multi-agent systems that drive real ROI for our clients. As the practice scales, you will have the mandate to hire and lead a specialized pod of 2–3 AI consultants, initially, ensuring our global delivery model remains as sharp as our code.
 

What You Will Own

1. Strategic Product Development

• Architect the Atlas "Agentic Workflow Training" series as a repeatable, institutional product. We want intensive cohorts and strategic office hours, not generic webinars.
• Develop and maintain proprietary Pattern Libraries for complex fund strategies:
  ○ Long/Short Equity: Automating fundamental synthesis and 10-K/Q anomaly detection.
  ○ Macro / Multi-Strat: Building global news triage systems and cross-asset scenario companions.
  ○ Credit & Private Markets: Engineering covenant extraction and automated deal-memo synthesis.
• Define the "Basic" vs "Advanced" AI Factory playbooks, ensuring we have a solution for every stage of client maturity.

2. Hands-On Agentic Orchestration

• Design sophisticated system prompts and multi-agent workflows.
• Work daily in the "workbench": utilizing Claude, ChatGPT, … to ship production-ready patterns.
• Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth. You find a 1% error rate on a financial metric personally offensive.

3. Executive Advisory & Client Delivery

• Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds.
• Partner with Sales and CTMs to translate "we want AI" into scoped, high-value consulting engagements that deliver.

4. Internal Practice Enablement

• Serve as the firm-wide "Internal Coach" for prompt and agent fluency. You’ll create the playbooks that empower our engineering teams to sustain these environments.

• Contribute to R&D on "AI Defense," focusing on prompt safety and governance patterns for SEC and FINRA-regulated environments.

   

Your DNA

• The Consulting Pedigree: You have 7+ years of experience within a global consultancy (e.g., EY, Deloitte, Accenture, McKinsey, BCG) in a client-facing, engagement-leadership role. You know how to manage a room and a project plan.
• The Builder Mindset: You are a daily practitioner of LLMs and orchestration frameworks. You don't just "manage" the tech; you operate in the terminal and understand what works.
• Capital Markets Fluency: You speak the language of PMs, Research Analysts, and CCOs and understand the fundamental research process.
• The Clever Edge: you can demystify "Retrieval Augmented Generation" for a non-technical COO while keeping the technical respect of a Principal Architect.

• High-Velocity Orientation: You thrive in the "N of 1" environment where the tech changes weekly. You believe that shipping beat perfection every single time.

   

What Success Looks Like (First 12 Months)

• Q1-Q2: A codified training offer with a validated library of "Bronze" workflow families ready for global scale.
• Q3-Q4: High NPS and measurable research compression for a cohort of pilot clients.
• Practice Growth: A clear roadmap and your first 2–3 direct reports hired as practice revenue hits target milestones.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

POSITION OBJECTIVE:

• System Developer – Custom AI & Multi-Agent Systems (Python / Gemini): is responsible for development to design, implement, and maintain a custom, production-grade AI system built in Python and powered by Google Gemini models.
• This role focuses on developing a multi-agent architecture that collaborates to solve domain-specific problems using a tightly controlled set of internal and external APIs.
• The developer will work closely with backend engineers and domain experts to ensure that AI outputs are accurate, explainable, and aligned with real-world system behavior.

RESPONSIBILITIES:

• Ensuring that AI agents interact with this platform in a reliable, deterministic, and secure manner, using well-defined API contracts and business rules. 
• Designing agent roles and coordination strategies, implementing prompt and tool-use logic, and managing context boundaries so agents operate efficiently within defined data and API limits.

• Building supporting infrastructure such as agent orchestration logic, error handling and fallback mechanisms, observability and logging, and test harnesses for validating agent behavior against known scenarios.

   

REQUIREMENTS:

• Strong proficiency in Python, including production-quality code, testing, and debugging
• Hands-on experience integrating large language models, preferably Google Gemini
• Experience designing or working with multi-agent or tool-augmented AI systems
• Familiarity with RESTful APIs and secure service-to-service communication

• Solid understanding of system design, state management, and asynchronous workflows

   

PREFERRED QUALIFICATIONS:

• Experience working with geospatial, telemetry, or fleet-tracking data
• Background in backend systems, distributed services, or data pipelines
• Experience with AI evaluation, prompt iteration, and model behavior analysisderstanding of the full mobile development lifecycle.

WHAT WE CAN OFFER YOU:

• Paid vacation and sick time 
• Public holidays 
• Technical equipment
• Happy hours on Fridays
• Company sponsored events as well as a casual work environment

SALARY COMMENSURATE WITH EXPERIENCE

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we’re passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S. We’re here to shape the future of technology, one milestone at a time.

In addition to technical expertise, we value strong communication, autonomy, and a high level of business orientation. This role requires close collaboration with stakeholders, proactive requirement discovery, and the ability to work effectively in a fast-changing environment without waiting for fully documented inputs.
To thrive in this role, we’re seeking candidates with 2–3+ years of commercial engineering experience, hands-on experience building AI agent solutions, strong Python and/or TypeScript fundamentals, and the ability to design custom tool-using agent loops from scratch. Experience with agent frameworks, evaluation systems, and observability tooling will be a strong advantage.
 

About the project : The project is focused on building production-grade AI agent capabilities for the U.S. healthcare domain. The engineer will work on agentic product features, legacy-system integrations, and supporting components such as scrapers and tool layers, helping automate complex workflows in an environment with significant real-world business impact.
 

Requirements:

• 2–3+ years of commercial engineering experience
• Ability to build a tool-using agent loop from scratch, including tool calling, structured outputs, stop reasons, parallel tool use, and error recovery
• Strong understanding of context engineering, including what to write, select, compress, and isolate
• Hands-on experience with modern agent frameworks or SDKs such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or Pydantic AI
• Working knowledge of Model Context Protocol (MCP)
• Experience building or extending evaluation harnesses, solid Python and/or TypeScript skills, and Upper-Intermediate English

Responsibilities:

• Design and implement agentic features end-to-end, from prototype to production.
• Build and maintain agent loops, tool layers, context management, persistence, sub-agent orchestration, observability, and safety hooks.
• Define quality standards for agent performance by creating golden datasets, writing evaluations, and setting up regression checks.
• Instrument agents with proper tracing and telemetry, and investigate production behavior using real execution traces.
• Work directly with client stakeholders to elicit and refine requirements, translate them into technical scope, and align on expected outcomes.
• Make pragmatic build-versus-import decisions when selecting frameworks, tools, and external components.
• Participate in architecture discussions and code reviews, contributing to scalable and production-ready engineering decisions.
• Move between projects and priorities as needed, taking ownership of delivery in a fast-changing environment with a high degree of autonomy.

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule.
 

Hiring process: HR interview + tech specialists  
 

We offer:

• Competitive compensation
• B2B contract, paid sick leave, 20 days of paid vacation
• Free English lessons  
• Flexible work schedule  
• Official Ukrainian holidays are non-working days  
• Paid courses and certifications  
• Сoach / psychologist consultation  
• Workshops  
• Career development plan
• Mentoring Education  
• Medical Health Insurance

Why Choose Us? What Do We Offer that’s Exceptional?

1. Cutting-Edge Technologies on Real Projects: At Langate, you’ll work with the latest technologies on live projects. We’re a dynamic, fast-growing company, so you’ll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
3. Investment in Your Growth: We’re committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
4. Team Building and Unity: We know that a happy team is a productive team. That’s why we organize team-building events and group activities to foster strong bonds and a sense of belonging.
    

When you choose us, you’re choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!
 

Need more information? Welcome!

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- Autonomously architect, prototype, & build the product from the ground up.

- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs).

- Leverage your prompt engineering skills to maximize the outcome.

- Horizontally work with founders in discussions on business & product topics.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- Database design and optimization (SQL).
- Development in cloud infrastructure (AWS/GCP/Azure).
- Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
- Experience with n8n/make will be a great plus.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

🟠 Details: we are looking for a Senior Computer Vision/Machine Learning Engineer to lead the design and development of an AI-powered system for extracting structured spatial data from complex floor plan imagery.

The main goal is to build a production-oriented prototype capable of processing 2D and 3D apartment floor plan images, extracting simplified 2D layouts, detecting rooms and interior spaces, estimating room areas, and generating structured outputs for flooring takeoff calculations.

This is a highly practical, R&D-driven role focused on solving real-world computer vision challenges such as perspective distortion, furniture occlusion, unclear room boundaries, scale estimation, and validation against noisy or inconsistent reference data.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 5+ years of hands-on experience in Computer Vision/Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Technical interview with ML/CV Engineer and PM (about 1 hour).
• Optional take-home task.

🟠 By joining us, you will get: (may add something else for the position)

• 15 paid vacation days + 30 unpaid days off per year.
• 4 paid public holidays.
• 5 sick leaves.
• Accounting and legal support.
• Flexible hours, remote work, and quality equipment.
• 100% certification coverage (on success).
• 50% coverage for additional training.
• Internal workshops and knowledge sharing.
• $50/month wellbeing budget (50% co-pay) for sport, education, therapy, and massage.
• Team-buildings, gifts, and company events.
• Internal rewards and perks program.

🟠 Our office:

📍 FuturaHUB, located in Lviv (Kulparkivska 200a).

• Modern and comfortable workspace.
• Conference rooms and chill-out areas.
• Sports activities and team events.
• Coffee, tea, snacks, and more.

🟠 Some of our values:

• Healthy work-life balance.
• No overtime or pressure culture.
• Transparent communication and clean relationships.
• Ownership and initiative.
• Openness to experimentation, learning, and change.

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

About the Role & Project

We’re looking for a Senior/ Lead AI Engineer to help build practical AI solutions for real-world business needs.

In this role, you’ll work hands-on with LLMs and GenAI, collaborating with engineers, solution designers, and product teams. You’ll be involved in designing, prototyping, and deploying AI features, with room to grow into more advanced or client-facing responsibilities over time.

Location: Remote / Hybrid (Ukraine / EU), with occasional travel if needed

What You’ll Do

AI Development & Implementation

• Build and integrate AI / GenAI solutions into products
• Work with LLM APIs (OpenAI, Azure OpenAI, etc.)
• Develop and improve RAG pipelines and AI-powered features
• Create PoCs and MVPs to validate ideas

Systems & Integration

• Integrate APIs and third-party services
• Work with databases, including vector databases
• Troubleshoot and optimize existing solutions

Team Collaboration

• Work closely with engineers and solution designers
• Contribute to architecture discussions
• Participate in code reviews

AI-Enhanced Development

• Use tools like Copilot, Cursor, etc. to speed up development
• Apply prompt engineering techniques
• Validate and refine AI-generated outputs

What We Expect

Experience

• 5+ years in software development (Python or similar)
• 1+ year of hands-on experience with AI / LLMs
• Experience building and integrating APIs
• Experience working on real-world projects

Technical Skills

• Python (APIs, async, production-level code)
• LLM basics (prompting, APIs, understanding of RAG)
• REST APIs (GraphQL is a plus)
• SQL + basic knowledge of vector databases
• AWS or Azure (basic level)
• Docker (Kubernetes is a plus)

Nice to Have

• Experience with RAG or AI agents
• AI-related pet projects or open-source contributions
• Some exposure to client communication or presales

Soft Skills

• Clear communication of technical ideas
• Proactive and self-driven mindset
• Comfortable working with some ambiguity
• Willingness to learn and grow in AI

Languages

• English: Upper-Intermediate (B2+)
• Ukrainian: required

What We Offer

• Flexible working schedule
• Remote-friendly setup
• Stable employment
• Paid vacation and sick leave
• Growth opportunities within the project

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands-on experience deploying LLM-powered systems into secure, production environments. You will drive initiatives from proof-of-concept through scalable enterprise deployment.

Details: 

Schedule: Full time remote 

Location: Europe-based 

Capacity: 100% (40 hours/week)
Language: English (mandatory), German (nice to have)

Responsibilities

AI Solution Development

Design, develop, and deploy enterprise AI and GenAI services

Guide solutions from PoC to secure production rollout

Build and integrate multi-agent AI systems and LLM-based products

Work with SAP data products and underlying data architectures

Manage ingestion, transformation, caching, and indexing workflows

Support distributed systems and big data processing environments

Implement CI/CD pipelines and MLOps best practices

Automate model training, validation, testing, and deployment

Work with Azure ML, Databricks, or AWS environments

Implement secure API design, secrets management, and access control

Contribute to security concept design

Ensure observability, reliability, and compliance in AI deployments

Collaborate with AI Product Owners, Data Scientists, and stakeholders

Create architecture diagrams, ADRs, and technical documentation

Ensure high-quality, well-documented codebases

Required Experience

7+ years of professional software engineering experience

Strong Python expertise (mandatory)

Experience with Node.js or Java (at least one additional language)

Backend framework experience (FastAPI, Flask, or Django)

Microservices architecture experience

Docker and Kubernetes experience

Experience with GitHub Actions, MLFlow, or similar orchestration tools

Hands-on ETL, API integration, and model deployment experience

Experience implementing CI/CD and MLOps in cloud environments

Knowledge of distributed systems and big data platforms

Experience working in Agile frameworks (Scrum, Kanban)

Fluent English and strong problem-solving mindset

Nice to Have

Experience with multi-agent or GenAI frameworks (LangChain, CrewAI)

Familiarity with SAP AI Core and SAP BTP

Experience with Jira (Scrum, SAFe)

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

We are an innovative AI tech lab building next-generation infrastructure for fully autonomous AI systems. We are currently scaling two core bleeding-edge products:
 

1. An Autonomous Agent Framework: A highly autonomous, "configure-once, forget-forever" agent platform that runs complex workflows, manages its own skills, self-corrects outputs, and operates without traditional approval loops or babysitting.
2. An Intelligence Engine: A massive-scale simulation platform capable of spawning hundreds of grounded AI agents within minutes to simulate real-world behavior, interact across social platforms (Twitter, Reddit), trade on prediction markets, and generate comprehensive counterfactual analysis reports.
    

We are looking for a Senior Backend Developer who is passionate about LLMs, multi-agent orchestrations, graph databases, and building autonomous workflows that operate seamlessly 24/7.
 

Core Responsibilities

• Architect Agent Lifecycles: Design, extend, and optimize the backend core responsible for autonomous agent task execution, state management, and memory retention.
• Scale Swarm Simulations: Improve the performance of multi-agent simulation environments, ensuring concurrent execution of hundreds of agents making API calls, processing text, and updating states in real time.
• Expand the Skills Library: Develop and integrate new "skills" and MCP (Model Context Protocol) tools for agents (e.g., automated code/PR reviews, web searching, live market monitoring, API integrations).
• Self-Healing & Quality Loops: Enhance automated fallback mechanisms, error handling, and self-patching algorithms where AI models evaluate their own outputs and fix failing tasks without human intervention.
• Data & Graph Modeling: Optimize data storage, retrieval, and relational modeling for agent memories, social graphs, and prediction market consensus.

Technical Requirements & Stack

• Languages: Deep proficiency in Python and Node.js/TypeScript (strong backend fundamentals are non-negotiable).
• AI & LLM Integration: Practical experience working with LLM APIs (OpenAI, Anthropic Claude, Ollama) and vector embeddings. Understanding of prompt chaining and structured outputs.
• Databases: Solid experience with Graph Databases (e.g., Neo4j) as well as relational or NoSQL solutions.
• Automation & CI/CD: Strong knowledge of GitHub Actions (used as a runtime framework), workflow dispatches, and containerization (Docker).
• Integrations: Experience building and consuming webhooks, REST APIs, and integrating with third-party platforms (Discord, Slack, Twitter/X, Reddit, or financial data feeds).
• Architecture: Familiarity with event-driven architectures, parallel/sequential task processing, and file-based state logging (Markdown/JSON).

Nice to Have

• Experience or strong interest in Web3, DeFi, and Prediction Markets (Polymarket, Base network ecosystem, tokenomics).
• Open-source contributions or a history of building custom AI tools/bots.
• Familiarity with local LLM deployment and inference optimization.

What We Offer

• 100% Remote & Flexible: Work from anywhere with asynchronous-friendly communication.
• Cutting-Edge Tech: No legacy enterprise maintenance. You will be shipping code to production for autonomous systems from day one.
• High Autonomy: Just like our agents, we value builders who don’t need micro-management and can own features end-to-end.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we're passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S.  We're here to shape the future of technology, one milestone at a time. 
In addition to technical expertise, we value strong communication, autonomy, and a high level of business orientation. This role requires close collaboration with stakeholders, proactive requirement discovery, and the ability to work effectively in a fast-changing environment without waiting for fully documented inputs. 
To thrive in this role, we’re seeking candidates with 2–3+ years of commercial engineering experience, hands-on experience building AI agent solutions, strong Python and/or TypeScript fundamentals, and the ability to design custom tool-using agent loops from scratch. Experience with agent frameworks, evaluation systems, and observability tooling will be a strong advantage. 

About the project : The project is focused on building production-grade AI agent capabilities for the U.S. healthcare domain. The engineer will work on agentic product features, legacy-system integrations, and supporting components such as scrapers and tool layers, helping automate complex workflows in an environment with significant real-world business impact. 

Requirements:  

• 2–3+ years of commercial engineering experience
• Ability to build a tool-using agent loop from scratch, including tool calling, structured outputs, stop reasons, parallel tool use, and error recovery
• Strong understanding of context engineering, including what to write, select, compress, and isolate
• Hands-on experience with modern agent frameworks or SDKs such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or Pydantic AI
• Working knowledge of Model Context Protocol (MCP)
• Experience building or extending evaluation harnesses, solid Python and/or TypeScript skills, and Upper-Intermediate English 

Responsibilities: 

• Design and implement agentic features end-to-end, from prototype to production.
• Build and maintain agent loops, tool layers, context management, persistence, sub-agent orchestration, observability, and safety hooks.
• Define quality standards for agent performance by creating golden datasets, writing evaluations, and setting up regression checks.
• Instrument agents with proper tracing and telemetry, and investigate production behavior using real execution traces.
• Work directly with client stakeholders to elicit and refine requirements, translate them into technical scope, and align on expected outcomes.
• Make pragmatic build-versus-import decisions when selecting frameworks, tools, and external components.
• Participate in architecture discussions and code reviews, contributing to scalable and production-ready engineering decisions.
• Move between projects and priorities as needed, taking ownership of delivery in a fast-changing environment with a high degree of autonomy. 

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule. 

Hiring process: HR interview + tech specialists