Jobs AI

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

Role Overview
We are looking for a highly capable Full Stack Engineer with deep experience in Python and React who is also very comfortable with harness engineering—building the surrounding tooling, automation, testing scaffolding, execution environments, and orchestration layers that allow systems, agents, workflows, and product features to be developed, validated, and run reliably at scale.

This role is ideal for an engineer who can move fluidly between backend services, frontend product development, automation frameworks, integration layers, and developer tooling. You should be equally comfortable shipping user-facing features and building the technical harnesses that make systems testable, observable, repeatable, and production-ready.

Key Responsibilities

• Build and maintain full stack applications using Python on the backend and React on the frontend.
• Design and implement APIs, services, and orchestration layers for product workflows and internal tools.
• Develop harnesses for testing, simulation, validation, execution, and monitoring of complex workflows, agents, or integrations.
• Create reusable frameworks for:
  • workflow execution
  • automated test runs
  • sandboxed environments
  • synthetic data generation
  • scenario replay
  • regression validation
• Build developer-facing tools to improve engineering velocity, quality, and repeatability.
• Integrate external services, APIs, and third-party tools into internal platforms.
• Implement logging, tracing, observability, and error-handling across systems.
• Collaborate with product, design, and platform stakeholders to turn business needs into scalable technical solutions.
• Help define engineering standards for reliability, maintainability, and deployment readiness.

Required Qualifications

• Strong hands-on experience building production systems with Python.
• Strong hands-on experience building modern frontend applications with React.
• Experience designing and consuming REST APIs and/or async service architectures.
• Experience with harness engineering, including building tooling for testing, validation, simulation, automation, or execution environments.
• Comfortable working across both application code and engineering infrastructure/tooling.
• Strong understanding of software design, debugging, and performance optimization.
• Experience with databases such as PostgreSQL, MySQL, or similar.
• Familiarity with CI/CD pipelines, Git-based workflows, and deployment practices.
• Ability to work independently, move quickly, and make sound engineering tradeoffs.

Preferred Qualifications

• Experience with workflow orchestration, agent-based systems, or automation pipelines.
• Experience with Docker, cloud infrastructure, and containerized environments.
• Familiarity with background job systems, queues, and event-driven architectures.
• Experience building internal platforms, QA tooling, evaluation frameworks, or developer productivity tools.
• Exposure to LLM/AI workflow orchestration, RPA, or test automation systems.
• Experience with observability tools, telemetry, and production monitoring.

What Success Looks Like

• You can ship polished frontend and backend features end-to-end.
• You can build robust harnesses that make systems easier to test, measure, debug, and scale.
• You improve both product delivery and engineering leverage.
• You help the team move faster by making complex workflows repeatable and reliable.

Ideal Candidate Profile
You are not just a feature engineer. You think in systems. You naturally ask:

• How do we test this?
• How do we simulate this?
• How do we validate edge cases?
• How do we make this reproducible?
• How do we instrument this so we can trust it in production?

You enjoy building the “glue,” scaffolding, and runtime support that turn promising ideas into dependable products.

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

We're not just a "payment company" — we're scaling a system that transforms complex financial flows into manageable infrastructure.

Who we are

We are a product-driven FinTech infrastructure company building at the intersection of finance and artificial intelligence. Growing at +45% year over year, we develop payment systems, financial audit tools, and analytics platforms. Behind us is a strong technical team with 15+ years of expertise, a modern stack, and a culture where every decision directly shapes the product.

Who we're looking for

Someone who will become a true Product Owner — not a formal manager, but a person who lives and breathes the product. Someone who understands its inner logic, feels the users' pain points, and does whatever it takes to make the system work flawlessly.

We run several parallel directions: payment widgets, an audit platform, analytics tools, and new AI-Native products. You'll need to dive deep into each of them — simultaneously.

A technical background is not required — we have a strong R&D team. But what's critical is the ability to understand how a product works, ask the right questions, and propose solutions. The product's success is in your hands.

What you'll be doing

• Own and scale: take products post-launch and be responsible for their growth and stability. We build the ideas together — after that, it's your product.
• Go deep: understand the logic of each product, its users, and its bottlenecks.
• Run the backlog: manage tasks, track progress, work with Jira / Linear.
• Own quality: monitor product stability and performance. Need QA? We'll hire one. Need resources? You'll have them.
• Drive analytics: collect feedback and turn data into decisions.
• Coordinate: sync teams and stakeholders, bring structure to processes.

What matters to us

• Ability to manage multiple products in parallel without losing depth of focus
• Ownership mindset: "this is my product, and I'm accountable for it"
• Energy and readiness for a startup pace — we move fast and grow faster
• Strong communication: clear thinking, context-sharing, and the ability to align people
• Experience in Product Management is a plus, but not a must. If your background is in Analytics, QA, Business Analysis, or Project Management — and you have the drive — we're on the same path

What we offer

• 🌍 100% Remote — no office, no location constraints
• 🤖 AI-Native products — you'll work with technologies that competitors haven't even started exploring
• 📈 Real impact — every decision you make is visible in the product and drives business results
• 💵 Stability and growth — compensation in USDT, a clear development path, zero bureaucracy
• 🧠 Expert team — professionals with 15+ years of experience you can learn from every day
• 🛠️ Resources — everything you need to make your product succeed

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that technology can be both human and transformative.

We are looking for a User Acquisition Manager to take end-to-end ownership of Meta performance campaigns, with strong cross-functional collaboration.

Responsibilities:

• Launch, manage, and optimize performance marketing campaigns on Meta.
• Optimize campaigns based on ROAS, LTV, and unit economics.
• Run A/B and split tests across creatives, campaigns, and landing pages.
• Analyze performance data, identify trends and insights, and scale winning approaches.
• Create clear and detailed tasks for photo/video designers and manage execution.
• Develop, maintain, and improve automation and auto-rules for acquisition.
• Conduct competitor analysis and generate growth hypotheses.

Requirements:

• Hands-on experience in running and optimizing Meta (Facebook Ads) campaigns.
• Strong experience working with CPA, ROAS, LTV, budgeting, and performance analytics.
• Experience with W2W, W2A, AEM, CAPI + Pixel optimization.
• Proven experience with A/B and split testing of creatives, campaigns, and landing pages.
• Strong analytical skills and data-driven decision-making.
• Experience creating briefs and tasks for designers and managing creative production.
• Experience building and managing auto-rules and campaign automation.
• English level: Upper Intermediate+.
• Hands-on experience with Meta Ads Manager, Tableau, Amplitude, Jira, Confluence, Birch.
• Proven experience in managing and scaling $50K+ daily ad spend.

Nice to Have:

• Experience with multiple UA channels: TikTok, Google Ads, Apple Search Ads, Snapchat, Pinterest.
• Proven experience launching campaigns from scratch and scaling with lean budgets.
• Understanding of performance marketing changes after iOS 14.5+.
• Bachelor’s degree in marketing, economics, analytics, or a related field.

What we offer:

• Flexible work schedule and remote-friendly culture.
• Online services of a corporate doctor, and after the probationary period — health insurance in Ukraine.
• 20 working days of paid vacation per year, unlimited sick leave.
• All equipment necessary for work.
• Compensation for the best courses on the market, corporate online meetups and lectures, a large library, business and management schools for employees.
   

Join our team of performers, practitioners and global changemakers!

Please note: due to the high volume of applications, we can only respond to candidates selected for the next stage. If you don’t hear from us within a week, please assume your application won’t be moving forward this time, and we’d love to see you apply for future roles!

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

At PwC, we work together to help clients make informed decisions, operate efficiently, and shape the future. Join our consulting team specializing in Generative AI as an AI Engineer. Our Technology Advisory team drives innovative projects every day, guiding companies through major technological changes. Current projects include applying large language models and generative AI in finance and energy sectors, as well as improving internal efficiency and accelerating workflows with AI tools.

What You’ll Do:

• Design and develop AI solutions using Large Language Models (LLMs), including advanced techniques like Retrieval-Augmented Generation (RAG) and multi-agent systems.
• Turn ideas into working prototypes and lead Proof of Concept (PoC) projects from planning to delivery.
• Apply the latest AI research to real-world challenges in industries like finance and energy.
• Collaborate with diverse teams to identify new use cases and deliver impactful solutions.

What We’re Looking For:

• 4+ years in software development, with at least 2 year in AI systems (RAG or agent-based).
• Strong Python knowledge, familiarity with databases (especially vector databases), and understanding of AI ecosystems.
• Basic knowledge and use of multi-agent systems, guardrail solutions, and orchestration frameworks (e.g., LangGraph).
• Proactive, solution-oriented, and able to work independently as well as in a team.
• Upper-intermediate English proficiency.

What We Offer:

• Work with leading experts on innovative projects that matter.
• Rapid career growth and continuous learning opportunities.
• Flexible schedule, hybrid work options, and a supportive environment.
• Competitive salary, annual bonus, and benefits including private healthcare, wellness programs, and home office allowance.
• A vibrant community with team-building events and a modern office in a prime location.

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

We are looking for a highly skilled specialist at the intersection of management, development and product logic for an international IT project. We need someone who can take charge of product development, manage a team and build a CRM system using modern technologies, including AI/ML.
 

Responsibilities:

• Managing the development team (developers, analysts)
• Full cycle of CRM system launch and development
• Designing product architecture and logic
• Setting tasks and monitoring their completion
• Managing the project from both a technical and product perspective
• Participating in the implementation of machine learning and AI-based solutions
• Optimising processes and improving team efficiency
• Liaising with the business side and participating in decision-making
   

Requirements:

• Managing a team of five people
• Experience in developing CRM systems or complex B2B products from scratch, involving large volumes of structured data (registers, complex filtering, reporting) Proficiency in Python 
• Understanding of machine learning and AI principles (practical experience would be an advantage)
• Experience working with complex system architecture
• English level — B2+
• Ability to independently lead a project and make decisions
   

Would be an advantage:

• Experience with product analytics or scoring
• Experience in FinTech / high-load systems
• Experience launching products from scratch

Conditions:

• Relocation to Cyprus (relocation support)
• Competitive salary Influence on the product and key decisions
• International team

• Long-term project

   

Hey there! 👋

We're looking for an expert full-stack React/Node.js engineer with experience in building AI tools to join our growing team! We're working on a product that has already made an impact in a major U.S. industry and has gained traction with several Fortune 500 companies. We're a small yet powerful team, but considering recent growth - expect plenty of opportunities of growth and a chance to tackle interesting engineering challenges!

What skills we expect you to have: 🎯

• English: Advanced (B2+)
• B.Sc. in Computer Science or similar;
• Excellent communication, collaboration, problem-solving, and analytical skills;
• 5+ years of writing commercial React.js and Node.js apps;
• Extensive experience with SQL-based databases;
• Extensive experience with Amazon Web Services;
• Understanding of LLMs and their application to building web applications;

What would be a huge plus: ✨

• English: C1
• Background in building your own side projects (please share links);
• Experience of leading engineering teams or initiatives at your previous company;
• Experience in building CI/CD pipelines;
• You have experience building AI apps (LangChain / LlamaIndex) and with MLOps;

What’s in it for you: 🌴

Professional Growth & Lifestyle:

- Remote work and flexible working hours (our team is 100% remote);

- Opportunity to join an international team of a fast-scaling startup;

- Leadership initiatives;

Benefits:

- Annual vacation: 20 business days (100% compensation)

- Annual sick leave: 10 business days (100% compensation)

- Competitive compensation.

Please, feel free to reach out should you have any questions!

Best regards,

Universium Team ❤️

🌎 About Akvelon:

Akvelon is a US-based software engineering and consulting company partnering with Fortune 500 clients and innovative product companies worldwide. We specialize in AI/ML, cloud solutions, enterprise platforms, and large-scale data-driven systems.

We are currently hiring a Senior Data Scientist for a high-impact AI/ML product environment focused on digital identity, authentication, fraud prevention, and large-scale production ML systems.

The platform processes billions of events annually and serves enterprise customers across fintech, banking, healthcare, e-commerce, gaming, and payments domains.

You’ll work closely with ML Engineers and cross-functional teams on experimentation, model monitoring, statistical analysis, and production-grade machine learning systems that directly impact customer trust and business outcomes.

💻 Responsibilities:
• Develop, validate, and optimize ML/statistical models
• Design experiments and evaluate model performance
• Monitor deployed ML models for drift, reliability, and performance degradation
• Build dashboards and monitoring systems for model observability
• Collaborate with ML Engineers on deployment and production workflows
• Translate model insights into actionable business recommendations
• Work with raw data and optimize analytical workflows
• Communicate findings to technical and business stakeholders

✅ Requirements:
• 5+ years of commercial experience in Data Science / Applied ML
• Strong Python skills (pandas, scikit-learn)
• Strong background in statistics and experimentation
• Advanced SQL skills and experience with Snowflake
• Experience with production ML systems
• Experience with model monitoring, drift detection, retraining strategies
• AWS experience
• Experience collaborating with engineering teams
• Strong communication and stakeholder management skills
• Upper-Intermediate+ English

➕ Nice to have:
• PyTorch or TensorFlow
• AI observability / fraud detection / identity systems
• Looker or similar BI tools
• API & deployment workflow understanding
• Experience mentoring engineers/data scientists

🕒 Work format:
• Full-time
• Remote
• PST overlap required (through 11 AM PST)
• Poland preferred

🎁 We offer:
• Paid vacation and sick leave
• Flexible working schedule
• Remote-first environment
• Career Development Plan
• Paid certifications and external training
• Internal workshops and English classes
• Opportunity to work on production AI systems at scale
• Long-term collaboration with strong engineering teams

Our client is a fast-growing startup building AI-powered products. They are looking for a motivated Junior Python Developer who wants to grow, take ownership, and work on real features that matter.

What you'll do:

- Design and build REST APIs using FastAPI
- Integrate LLMs into product features and improve their performance
- Write clean, readable, and maintainable code
- Collaborate with a small cross-functional team
- Participate in code reviews and contribute to technical decisions
- Help shape how AI is used across the product

Requirements:

- 2+ years of hands-on Python experience
- Good knowledge of FastAPI and REST API design
- Experience working with LLMs (OpenAI, LangChain, or similar tools)
- Understanding of async programming
- Ability to work independently and communicate clearly
- English — B1+ Comfortable working with a time tracker

Please note: we use a time tracker.

Nice to have:

Familiarity with prompt engineering
Experience in a startup environment

We offer:

Full remote, flexible schedule
Real ownership and impact from day one
Small team with fast decision-making — no bureaucracy
Supportive environment where your voice is heard
Opportunity to grow together with the product and the company

🔹 100% remote | 🌎 Global team | ⏳ Full-time
 

If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here.
 

Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups.
 

You’ll work with really smart people - the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done.

We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself - some of our customers found us through five layers of referrals. That’s how much people appreciate what we do.
 

We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right.
 

We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place.

What You’ll Do
 

• Drive 2-3 projects in the active stage from start to finish and deliver value to our customers.
• Define project requirements and deliverables, plan and manage their execution, monitoring and adjustments.
• Interpretation of business requirements to the technical team and vice versa. Estimating development efforts.
• Participating in customer calls and providing a project update to the customer.
• Organizing and keeping up-to-date Project boards. Documenting tasks: timeline, user stories and developer's tasks incl. detailed Acceptance Criteria.
• Coordinating the development teams including QA and designers.
• Testing the system before the releases.
• Taking full responsibility and ownership for project delivery. Monitor project progress, identify potential risks or bottlenecks, and proactively address them
• Helping with onboarding newcomers and mentoring Junior PMs.

Who We’re Looking For
 

• 4+ years of managing software development projects (Web and Mobile, AI/ML will be a plus).
• IT background (technical understanding of web and mobile application development).
• Excellent communication and presentation skills to communicate effectively with customers and project teams.
• Experience in managing projects in Agile and Waterfall environments.
• Knowledge of business analysis and process description, incl use cases, user stories, visual thinking/drawing.
• Experience in distributed teams management.
• Manual testing experience.
• Ability to work independently and with a team in a dynamic project environment.
• Attention to details.
• Upper-Intermediate level of English or higher

What We Offer
 

• 100% remote job.
• Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years.
• Paid sick leave and holidays.
• Flexible working hours.
• Accounting assistance.
• Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager).
• Hardware upon business needs.
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor.

What's The Process
 

We value your time and ours and make the process fast and easy.
Interview with HR, test challenge, interview with Head of PM and PM, interview with COO and CTO, Offer.

Join us!

About Us

We're building AI systems that pair multilayered, scalable knowledge graphs with advanced reasoning agents—technology designed to navigate and make sense of the most complex knowledge domains with genuine scholarly precision. It's ambitious work, and we're looking for people who are excited by hard problems that don't have textbook answers yet.

The Role

We're looking for a Senior Backend Engineer (7+ years) to design and scale the infrastructure that powers our platform. You'll work shoulder-to-shoulder with a strong AI research team and domain experts, translating research-grade AI systems into robust, production-ready distributed systems. If you enjoy being the bridge between cutting-edge research and real-world reliability, you'll feel at home here.

What You'll Do

• Architect and implement scalable backend services and multi-tenant SaaS infrastructure
• Design and operate high-throughput data pipelines, both batch and streaming
• Build APIs and services that integrate LLM inference, retrieval systems, and knowledge graphs

• Productionize research-grade AI systems into reliable, well-engineered distributed systems

   

What We're Looking For

• 7+ years of backend engineering experience
• A track record of leading the design and delivery of complex, user-facing products (consumer or B2B)
• Strong proficiency in Python
• Deep understanding of distributed systems and cloud-native environments
• Hands-on experience architecting, building, and deploying Kubernetes-based systems
• Fluent English

• Experience in early-stage startups or fast-moving environments—ideally having built products from 0 to 1

   

Nice to Have

• Go and/or Scala experience
• Hands-on experience with LLM systems (RAG, model serving, evaluation)
• Familiarity with knowledge graphs, vector databases, or hybrid retrieval architectures

• An MS in Computer Science

   

What We Offer

• Technical innovation: Lead the development of novel neuro-symbolic architectures, with direct access to cutting-edge research
• A flexible environment: Remote-friendly arrangements and opportunities for international travel
• Competitive remuneration

AI-Powered System Architect (Russian Speaker) - Remote

We're a US-based software company looking for a System Architect who is fluent with AI-powered development tools (Claude, GPT-4, Copilot).

This is the future of software development: You design systems, then use AI to implement them 2-3x faster. One architect can now handle 3-5 projects simultaneously.

This is NOT traditional coding - it's architecture + AI-assisted implementation.

---

THE BIG DIFFERENCE

Traditional: Architect designs → Developer codes → Testing (weeks)

Our way: Architect designs → AI implements → Testing (days)

One architect can deliver what used to take a team. We're not replacing developers - we're empowering architects.

---

WHAT YOU'LL DO

- Design scalable systems that leverage AI for rapid implementation

- Use Claude, GPT-4, and GitHub Copilot as primary development tools

- Review and validate AI-generated code for quality and architecture integrity

- Architect solutions that work TODAY and scale 10x TOMORROW

- Mentor other developers on AI-assisted development

- Make critical technical decisions, not just write code

- Handle 3-5 simultaneous projects with AI acceleration

---

YOUR EXPERIENCE

- 3-5+ years in backend, fullstack, or systems engineering

- Proven system architecture experience (not just implementing specs)

- Deep knowledge of SOLID, Design Patterns, Clean Architecture

- Database scaling and optimization

- Microservices and event-driven architecture

- Docker, CI/CD pipelines, infrastructure

- Multi-language capability (2+ languages)

- Russian language (required)

- English intermediate+ (preferred but not required)

---

THE CRITICAL REQUIREMENT: AI-ASSISTED DEVELOPMENT

- 3-6+ months hands-on experience with Claude, GPT-4, or GitHub Copilot

- Understanding of AI strengths and limitations

- Ability to write effective specs for AI code generation

- Practical experience reviewing and refactoring AI-generated code

- Knowledge of when to use AI vs traditional development

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NICE TO HAVE

- Kubernetes experience

- AWS / GCP knowledge

- Prompt engineering for code generation

- Kafka / Event streaming experience

- High-load systems (fintech, real-time)

- Legacy system refactoring

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WHAT WE VALUE

- System thinking - you see the big picture

- Pragmatism - you know AI is a tool, not magic

- Architectural intelligence - you design systems that are easy to build with AI

- Teaching ability - you make everyone better

- Operational excellence - you think beyond features

- Adaptability - excited about different project types

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WHAT MAKES YOU STAND OUT

✅ "I've been using Claude for 6+ months to generate entire modules"

✅ "I understand AI limitations and know when to use it vs traditional coding"

✅ "I've designed systems that are optimized for AI implementation"

✅ "I review AI code thoroughly for quality and security"

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NOT FOR YOU IF

✗ You've never used AI tools for coding

✗ You're skeptical about AI in production code

✗ You want to understand every line you don't write

✗ You prefer traditional development without AI

✗ You think AI will replace architects

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COMPENSATION

- Salary: $3,000+ per month USD

- Full-time remote

- Flexible hours (6-8 hour overlap with US preferred)

- 1-5 simultaneous projects

- Contract: 3+ months to multi-year

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WORKFLOW EXAMPLE

Traditional: Payment system = 1 week

Our way: Design → AI generates → Review → Done = 2 days

That's the efficiency you'll get.

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WHAT YOU'LL HAVE ACCESS TO

- Claude (Anthropic) subscriptions

- GPT-4 (OpenAI)

- GitHub Copilot

- Cutting-edge AI development tools

- Freedom to suggest new tools

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THE FUTURE OF DEVELOPMENT

This is not experimental. We've been using AI-assisted development for months with excellent results. We're scaling this model and need architects who understand both traditional architecture AND AI acceleration.

You're not learning a gimmick - you're mastering the future of software development.

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HOW TO APPLY

1. Submit resume highlighting architectural projects (and any AI experience)

2. Brief cover letter:

- Most interesting architectural problem you solved

- Your experience with AI tools (Claude, GPT-4, Copilot, etc.)

3. GitHub/portfolio (if available)

4. Response in 2-3 business days

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INTERVIEW PROCESS

1. AI workflow conversation (30 min)

- Your experience with AI tools

- How you approach code quality with AI

2. System design discussion (1 hour)

- How you'd architect a system

- How you'd use AI to implement it

3. Client meeting (30 min)

- Communication and fit

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QUESTIONS?

Feel free to ask before applying. We're transparent about everything - tools, workflow, expectations.

Ready to architect systems with AI?

Apply now! The future is here.

Pay: $3,000.00+ per month

Benefits:

• Flexible schedule
• Health insurance
• Paid time off
• Professional development assistance
• Referral program

Work Location: Remote

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's platform is designed to work with sales representatives and automate as much of their work as possible, in order to allow them to connect with their clients and make their communications faster. The company also provides intelligence to team managers with performance insights, allowing them to coach their sales reps more effectively.

About the role:
As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

Responsibilities:
- Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
- Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
- Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
- Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
- Finding quick ways to prototype and test possible solutions to large problems
- Looking across the stack for the best return on investment for any given pain point.

Requirements:
- 4+ experience in Machine Learning sphere
- 2+ years of experience working with Natural Language Processing.
- Experience with cloud-based data platforms and continuous-deployment projects
- Experience with implementing machine learning pipelines
- Willing to go above and beyond to help other team members
- Ability to prioritize details along a path of iterative delivery
- Ability to quickly ramp up new technologies and start contributing.

Desirable:
- Experience with Go
- Experience building platforms from scratch

We offer:
- Competitive salary and perks; annual satisfaction survey and performance review
- Paid vacation and 100% paid sick leaves
- Work in a creative friendly environment using cutting-edge technologies
- Technical and product leadership opportunities

We are looking for a Clinical LLM Engineer to work on real-world healthcare challenges, building LLM-powered solutions for clinical data extraction.

The platform is scaling across the US healthcare system, focusing on practical impact and improving care through better use of clinical data.

You will fully own prompt engineering and extraction quality, working directly with LLM APIs, while a separate team handles backend and infrastructure. Your focus will be on improving accuracy, system reliability, and adapting workflows as LLM capabilities evolve.

We offer:

• Flexible working hours;
• Paid vacation and sick leave;
• Health insurance;
• Professional growth opportunities;
• Internal English classes & compensation for courses;
• Legal and accounting support.
   

Requirements:

• 3+ years of Python development experience (data processing, scripting, automation);
• Hands-on experience with prompt engineering for LLMs in production;
• Experience working with US healthcare or clinical data;
• Strong understanding of unstructured data (text, PDFs, scanned documents);
• Experience with document classification or similar tasks;
• Experience with evaluation frameworks for LLM performance;
• Basic experience with cloud environments (AWS Lambda, EC2, simple pipelines);
• Experience with Git (GitHub);
• Understanding of Agile development practices;
• High English level.
   

Responsibilities

• Design and optimize prompts for accurate clinical data extraction;
• Adapt prompt strategies to handle real-world variability in medical documents;
• Build document classification workflows (labs, imaging, vaccines, etc.);
• Develop Python pipelines for LLM interaction and data processing;
• Evaluate and improve extraction quality across document types;
• Continuously adapt prompting approaches as LLM capabilities evolve.