Jobs AI

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

We are seeking an elite, highly independent Principal Software Engineer & Architect who views advanced AI coding harnesses and multi-agent frameworks not as a crutch, but as a force multiplier for rapid, high-quality execution.

In this role, you will not be a cog in a massive machine, nor will you be stuck managing a single legacy codebase. Instead, you will act as a solo "special forces" engineer, moving dynamically from project to project. You will take loose, highly ambiguous business requirements and autonomously transform them into production-ready, enterprise-grade software. Your projects will span the entire functional spectrum—from building complex client portals to engineering mission-critical dispatch systems.

Because our applications deploy across a mix of Azure cloud and secure, on-premises environments, you must possess an uncompromising mindset regarding data sovereignty, rigid deployment constraints, and architectural security.

What You Will Do

• Architect & Execute: Autonomously design, code, and deploy secure, scalable applications from scratch using C#/.NET and JavaScript/Node.js. You own the entire pipeline from blueprint to production.
• Navigate Ambiguity: Translate vague, high-level business concepts into robust system architectures without requiring granular specifications or hand-holding.
• Adapt and Pivot: Shift gears fluidly between rapid-prototyping greenfield sprints (2–4 weeks) and deep-dive enterprise deployments (3–6 months).
• Own the Security Lifecycle: Ensure all codebases are rigorously hardened against the OWASP Top 10 and strictly adhere to secure, on-premises infrastructure requirements.
• Orchestrate AI Workflows: Integrate your own preferred multi-agent frameworks and AI toolchains to accelerate development velocity, while maintaining absolute human oversight of logic, edge cases, and architectural integrity.

Who You Are

• An Independent Thinker: You don't wait for a ticket to be fully groomed. You figure out what needs to be built, challenge assumptions when necessary, and deliver the right solution.
• An AI Realist: You understand that AI is prone to hallucinations and lazy logic. You know how to orchestrate multi-agent workflows to handle the heavy lifting, but your own architectural expertise is what ensures the system is stable, secure, and performant.
• A Full-Stack Enterprise Builder: You have deep, production-tested experience within both the Microsoft ecosystem (C#, .NET) and modern JavaScript/Node.js environments.
• A Security-First Engineer: You have a proven track record of architecting for strictly controlled, hybrid, or on-prem environments where security cannot be an afterthought.

Requirements

• 7+ years of experience in enterprise-level software engineering and hands-on system architecture.
• Mastery of C# / .NET and JavaScript / Node.js.
• Strong experience designing hybrid architectures spanning Azure cloud and on-premises infrastructure.
• Deep, practical understanding of OWASP Top 10 principles and secure coding practices.
• Proven experience leveraging advanced AI coding assistants, custom multi-agent frameworks, or LLM-orchestrated workflows to significantly compress delivery timelines.
• Exceptional ability to work entirely solo, owning projects from concept to deployment.

Why Join Us?

If you are tired of endless committee meetings, rigid corporate bureaucracy, and being locked into one mundane codebase for years, this is your playground. You will have the autonomy to choose your own AI workflow toolchain, the freedom of a fully remote position, and the challenge of building entirely different enterprise systems from scratch back-to-back.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations. 

Role Overview

We're not hunting for someone who just trims clips and slaps on transitions. We need a video editor who can actually build stuff from scratch, generate frames and shots with AI, and make it all move.
 

What You'll Do

• Edit real video that people want to watch
• Generate shots and frames with AI when we don't have footage, or when shooting it would take too long
• Add motion design that makes a piece feel alive, not stock
• Take a rough idea and turn it into something finished without multiple rounds of revisions
• Ensure videos meet brand and quality standards

Qualifications

• Core editing in Adobe Premiere, After Effects, or Final Cut
• AI video generation experience. You should know your way around tools like Seedance, Higgsfield, Veo 3, or Sora, generating frames and shots that actually cut into a real edit
• Motion design basics. Clean animated text, transitions, and simple graphics that don't scream "template"
• Comfortable working with Claude daily for scripting, ideation, and workflow optimization
• Creativity, attention to detail, and ability to produce visually engaging content
• Ability to work independently and deliver on time
• English at a working proficiency level (B1+)
• Bonus points if you've worked with fast-moving teams and don't need a 12-step approval process to ship

About us:
 

BetterMe —a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

About the role:
 

We are looking for a Full-Stack Engineer to join our Workouts team, responsible for the physical activity experience of our users: workouts, workout plans, fitness data, and integrations.
 

You will build and improve product features, enhance content management systems, and contribute to the reliability and scalability of our applications. The role combines backend and frontend development with product ownership and the use of AI-assisted coding tools to support faster, high-quality delivery.

Your impact:
 

• Implement and enhance features from conception through to deployment, ensuring they meet strategic business objectives.
• Design and develop content management systems using React, Vue, and JavaScript, dedicating approximately 50% of your time to frontend tasks and leveraging AI-assisted tools to accelerate development where appropriate.
• Write clean, secure, testable, scalable, and well-documented product or system code.
• Actively participate in multiple aspects of the SDLC, including planning, development, testing, and deployment.
• Work closely with product, client, and other cross-functional teams to deliver high-quality features and resolve integration issues.
   

About you:
 

• 5+ years of software engineering experience with a track record of shipping production-ready products.
• Work confidently across the full stack, including backend (PHP) and frontend technologies (JavaScript, jQuery, React/Vue).
• Actively use Agentic Coding tools (e.g., Claude Code, Codex, Cursor) to improve development workflows.
• Work with relational databases (MySQL and/or PostgreSQL) and in-memory storage/caching solutions (e.g., Redis, AWS ElastiCache).
• Understand the AWS ecosystem and basic DevOps practices.
• Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon SQS).
• Think in terms of business and product impact, not only implementation.
• Demonstrate eagerness to learn and share knowledge with others.
• Show independence, ambition, and a strong ownership mindset.
• Thrive in small, fast-moving teams with frequent releases and quick iteration cycles.
   

Would be a plus:
 

• Familiarity with Clean Architecture software design philosophy or DDD
• Hands-on experience with GoLang.
• Ability to document requirements and create architectural diagrams (using PlantUML or Mermaid).
• Experience with distributed systems and high-load services.
• Experience with Kubernetes/Helm and service mesh technologies like Istio.
• Excellent communication and collaboration skills. Proactive approach to identifying and solving complex problems.
   

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

Місія ролі:
Розробляти прикладні AI-продукти та сервіси: backend, frontend, API, інтеграції з LLM/ML models, RAG-пайплайни, workflow automation, evaluation logic та production-ready функціональність для користувачів. Це роль не дослідника Data Science, а інженера, який перетворює AI capability у працюючий продукт.

Обов’язки:
-Розробка AI-enabled web applications та internal tools.
-Побудова backend API для AI-сервісів.
-Інтеграція LLM, embeddings, vector search, document pipelines.
-Реалізація RAG/workflow/agent-like сценаріїв там, де це виправдано.
-Побудова UI для користувачів, операторів, аналітиків або адміністраторів.
-Впровадження access control, audit trail, security controls.
-Підготовка технічних прототипів і доведення їх до production-ready стану.
-Спільна робота з BA над уточненням вимог.
-Спільна робота з DevOps/MLOps щодо deployment та monitoring.
-Спільна робота з AppSec щодо threat modeling і security testing.

Вимоги:
2+ роки software engineering досвіду;
Досвід backend-розробки на Python, Go, Java, Node.js або .NET.
Досвід frontend-розробки: React, Next.js, Angular або Vue.
Практичний досвід з REST/gRPC API, authN/authZ, role-based access, audit logging.
Досвід з PostgreSQL або іншими relational DB.
Розуміння асинхронної обробки: queues, workers, schedulers, event-driven flows.
Практичний досвід інтеграції з LLM API або open-source LLM.
Вміння писати тести, робити code review, працювати з CI/CD.
Бажано:
Досвід RAG: embeddings, vector DB, chunking, retrieval, reranking, source attribution.
Досвід з LangChain, LlamaIndex, Haystack або власними lightweight orchestration-підходами.
Досвід з LLM evaluation: golden datasets, regression tests, hallucination checks, prompt/version control.
Досвід з document processing: OCR, PDF parsing, structured extraction.
Досвід із secure coding та OWASP ASVS/API Security.
Досвід побудови internal tools, dashboards, workflow automation.

 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:
-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Senior AI Engineer needed to design and ship AI products for a healthcare company that enables remote patient monitoring, clinical research, and personalized healthcare. You'll build generative-AI workflows, clinical decision support, agents, and retrieval over health data — along with the evaluation and guardrails that make them safe to use in a clinical setting. You'll own these products end to end and work across teams, partnering closely with clinicians, product, and engineering to identify where AI genuinely improves a patient or clinician outcome — and explaining the trade-offs clearly to both technical and non-technical people. This is a hands-on senior role for an AI builder with strong software fundamentals who wants to own the outcome of an AI product, not just the code.

What You'll Do:

• Take AI products from problem framing to production — scope the use case, choose the approach (generative AI, classical ML, retrieval, agents, or a hybrid), and ship it
• Design prompts, tools, and retrieval strategies that work reliably in a clinical context, with structured outputs and clear failure modes
• Build the services and APIs that expose AI capabilities to our products, with real attention to latency, cost, and observability
• Shape the data behind each product — sources, schemas, labelling, and quality checks — and build the pipelines that prepare it for training, evaluation, and inference
• Define how quality is measured (offline metrics, golden sets, human review, and live monitoring) and use the results to drive iteration
• Build guardrails, content checks, and graceful degradation paths suited to healthcare use cases
• Operate AI products in production — monitor model behaviour, catch drift and regressions, and run incident response when needed
• Write production-quality code, tests, and documentation, review others' work to the same standard, and use AI-assisted development tools to move faster without compromising quality
• Partner with clinical, product, and engineering colleagues to decide where AI is — and isn't — the right answer, keeping everyone aligned and clearly communicating AI trade-offs to technical and non-technical stakeholders

• Mentor other engineers on applied AI — evaluation, generative-AI design patterns, and shipping models responsibly

   

What We're Looking For:

• 5+ years of professional software engineering experience, with meaningful time building and shipping AI/ML products in production
• A track record of owning an AI product from problem statement to launch — including model/approach selection, evaluation, and iteration based on real usage
• Hands-on experience with generative-AI systems: prompting, tool/function calling, retrieval-augmented generation (RAG), multi-step agents, structured output, and handling failure modes
• Solid grounding in core machine learning (supervised learning, embeddings, evaluation, overfitting, data quality), with the judgment to know when to use classical ML, fine-tuning, or off-the-shelf models — and when AI isn't the answer at all
• Strong production engineering skills — clean, well-tested code, sensible API design, and the ability to operate your own services (Python is our default)
• Comfort with the data side of an AI product — ingesting, cleaning, and modelling structured and unstructured data, and designing pipelines for training, evaluation, and inference
• An evaluation mindset — defining offline and online metrics, building golden sets or human-review loops, and catching regressions before users do
• Clear, confident written and verbal communication — you can explain AI trade-offs to an engineering stand-up and to a clinical or executive stakeholder in the same day, and adapt your style to each
• An ownership and product mindset — you care whether the model and the product are doing the right thing for users, you stay accountable after launch, and you balance capability, cost, latency, safety, and complexity for the stage of the product
• Confident with Git, code review, automated testing, and CI/CD

Nice to Have:

• Production experience with vector databases, embedding pipelines, and retrieval-quality tuning
• MLOps practices — model versioning, evaluation harnesses, shadow deployments, and prompt/dataset management
• Experience with cloud AI platforms (Azure AI, AWS Bedrock/SageMaker, GCP Vertex) and deploying inference on AWS, GCP, or Azure
• Familiarity with fine-tuning, distillation, or hosting open-weight models when economics or privacy call for it
• Background in healthcare, life sciences, or another regulated, data-sensitive domain (HIPAA, GDPR, ISO 27001, medical-device software)
• Experience with FHIR, HL7, or other healthcare interoperability standards

What Success Looks Like:

• AI products that ship and make a measurable difference — adoption, task completion, and clinical or operational outcomes where defined
• Healthy AI behaviour in production — strong evaluation scores, a high regression catch rate, and safety incidents avoided
• Reliable, observable AI services with healthy uptime, latency, and cost for the surfaces you own
• Predictable delivery within agreed scope and timelines
• Engineers you mentor or pair with growing and becoming more effective

Job Summary:

We are eclipt.ai - more than just a mobile & web development agency. Our main focus is mobile and web applications development and support for various business sectors for over six years. Our portfolio includes a wide variety of software solutions, from small crypto signals apps to projects with IoT and Generative AI integration.

We're scaling our Flutter team and looking for a developer who treats AI agents as a first-class part of their workflow. You will own feature delivery end-to-end, orchestrate your own team of AI agents, review their output, and partner with the COO and Tech Lead on scoping and planning. If you haven't worked with a multi-agent setup yet but want to learn - we'll show you how.

Key responsibilities:

- Deliver Flutter features end-to-end on production apps, from scoping to App Store / Google Play release
- Orchestrate your own team of AI agents (Claude Code + Paperclip) - prompt, review, iterate
- Review code produced by AI agents and teammates before it reaches the main branch
- Partner with the COO and Tech Lead on sprint planning, estimates and breakdowns
- Maintain clean Flutter + Firebase architecture across long-running projects
- Communicate progress and blockers proactively in async and sync formats

Role profile:

- 3+ years of production Flutter experience with apps shipped to App Store and/or Google Play
- Strong Firebase experience (Auth, Firestore, Cloud Functions, FCM)
- Hands-on experience creating Firebase Cloud Functions
- Hands-on experience with Claude Code, or willingness to get fluent in it within the first 2 weeks (we onboard you on multi-agent setups and Paperclip)
- Able to critically review AI-generated code - spot hallucinations, over-engineering, bad patterns
- Project management mindset: can estimate, scope and break down features without being walked through

Soft Skills:

- High agency: takes ownership without micromanagement
- Curious about AI tooling and actively uses it to move faster
- Strong written and spoken communication
- Feedback-oriented, unafraid to challenge decisions when needed

What we offer:

- Competitive level of salary
- Remote-first way of working
- Flexible working schedule
- Mentorship program for all employees
- Regular Performance reviews
- Tailor made development plans for every employee
- Direct hands-on exposure to cutting-edge AI workflows (Claude Code, Paperclip, multi-agent setups)

Senior AI-Native Flutter Developer

Salary: $5,000-$7,000/month net

We're rebuilding eclipt.ai from a standard Flutter agency into a fully AI-orchestrated delivery team.

One senior developer running a team of AI agents in parallel, shipping what used to take a team of four.

We're looking for the people who already know how to do this.

In the past 3 years, we have:
- Helped a German startup land a $1B+ marketcap partnership
- Built an app that brought our client $1M in revenue in the first 2 weeks after launch
- Worked with two Grammy-winning artists
- Shipped a 2.7M+ downloads app

Who we need:

- Someone who's already running multi-agent setups daily, and can show us output that proves it. Not 'curious about AI' - actively shipping with it.

- Someone who can scope a feature, break it into agent-executable tasks, review the output critically, and ship it to production without being walked through anything.

- Someone who's done 6+ years of production Flutter, has apps on App Store and Google Play, and can spot AI hallucinations, over-engineering, and bad patterns in generated code.

- Someone with high agency, product thinking, and the confidence to push back on us when we're wrong. You'll work directly with the Co-Founder and Tech Lead daily. Your inputs on tooling, workflow, and architecture get implemented the same week, not filtered through layers.

We're betting on you. We expect you to bet on us back.

This is NOT for you if:
- You want a mentorship program, structured career ladder, or onboarding plan. We don't have one. We're looking for a more experienced person than we are.
- You want to be told what to build and how to build it. We don't have time to architect for you.
- You think AI is not good enough to build production-ready Flutter apps.

What we offer:
- $5,000-$7,000/month net, based on what you bring on day one
- $5,000-$7,000/year in bonuses depending on hitting our KPIs
- Direct daily contact with the Co-Founder and Tech Lead - no middle management
- Access to all company finances: you see how your workflows impact company profits. And you get to decide where the resources are allocated, too
- Full remote, flexible schedule
- Real influence on company direction - what you say gets shipped
- Hands-on exposure to cutting-edge AI workflows (Claude Code, Paperclip, multi-agent orchestration)

What we don't offer:
- Mentorship or training programs
- A career roadmap (we're figuring out the next 12 months ourselves)
- Slow ramp-up - you start contributing in week 1

Requirements:
- 6+ years production Flutter, apps shipped to App Store and Google Play
- Strong Firebase (advanced cloud functions, cost optimization e.g. how to create requests that cost less on monthly basis)
- Daily hands-on with Claude Code or similar agentic tools
- Can scope, estimate, and break down features independently

How to apply:

Don't send a CV. Send a pitch:
- What you've shipped (links to apps, repos, or production work)
- How you currently use AI in your workflow - specific tools, specific results
- One thing you'd change about how most Flutter agencies operate

We respond within 48 hours.

We are seeking a highly skilled AI/ML Engineer to design, build, and scale production-grade AI systems. The ideal candidate combines expertise in AI/ML, backend engineering, cloud infrastructure, and MLOps to deliver end-to-end AI solutions powered by LLMs, RAG architectures, and intelligent agents.

You will play a key role in developing scalable AI products, optimising inference performance, building AI platforms, and integrating cutting-edge AI capabilities into business applications.

Key Responsibilities

• Design and develop scalable AI/ML solutions for production environments.
• Build and deploy LLM-powered applications using OpenAI, Claude, Gemini, and Hugging Face ecosystems.
• Develop Retrieval-Augmented Generation (RAG) systems and agentic workflows.
• Create and maintain AI APIs and backend services using Python and FastAPI.
• Design data pipelines, vector search architectures, and AI orchestration workflows.
• Implement MLOps practices, including model deployment, monitoring, retraining, and observability.
• Optimise AI systems for latency, scalability, reliability, and cost efficiency.
• Collaborate with product, engineering, and data teams to deliver AI-driven features.
• Work with cloud-native infrastructure and containerised environments.
• Mentor junior engineers and contribute to architectural decisions.

Required Qualifications

• 5+ years of software engineering or machine learning experience.
• Strong proficiency in Python.
• Hands-on experience building and deploying production AI systems.
• Deep understanding of machine learning fundamentals, deep learning, NLP, and transformers.
• Experience with LLM technologies and frameworks:
  • OpenAI API
  • Claude API
  • Gemini
  • Hugging Face
  • LangChain
  • LangGraph
  • LlamaIndex
• Strong knowledge of:
  • RAG architectures
  • Vector databases
  • Embeddings
  • Agentic workflows
  • Prompt engineering
• Experience building REST APIs and backend services.
• Proficiency with Docker and cloud platforms (AWS, Azure, or GCP).
• Experience with SQL databases and data processing frameworks.

Preferred Qualifications

• Kubernetes and container orchestration experience.
• Infrastructure as Code using Terraform or similar tools.
• MLOps platforms such as MLflow, Kubeflow, or Airflow.
• Experience with Spark and large-scale data processing.
• Knowledge of Redis, Kafka, RabbitMQ, or real-time systems.
• Experience with AI observability, monitoring, and model lifecycle management.
• Exposure to enterprise AI integrations and AI governance.

Technical Stack

Languages

• Python
• SQL

Backend

• FastAPI
• Flask
• REST APIs
• GraphQL

AI/ML

• OpenAI
• Claude
• Gemini
• Hugging Face
• LangChain
• LangGraph
• LlamaIndex
• RAG
• AI Agents

Data

• PostgreSQL
• MySQL
• Pinecone
• Weaviate
• Qdrant
• ChromaDB

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• Kubernetes
• Terraform
• GitHub Actions / GitLab CI

What's different here:

 — No existing product. You form a hypothesis, call customers, validate demand, and make a GO / KILL / PIVOT decision within 2 weeks

 — Your KPI is not features in Jira — it's LOI, deposit, paid pilot, MRR — You lead a Squad: Senior Dev + Senior Growth Hacker 

— First 30 days: 20+ customer discovery calls, 4 hypotheses, first commercial signal from the market

What you'll do: 

→ Identify vertical AI products for B2B mid-market 

→ Run 5+ customer calls per week, validate pain and willingness to pay 

→ Define ICP, pricing, MVP scope and run 2-week validation sprints → Drive the product to paying customers and a repeatable sales motion

You're our candidate if:

 ✓ You've built a product from zero or pre-MVP to first sales

 ✓ You understand MRR, CAC, LTV, conversion — and aren't afraid of numbers 

✓ You can kill weak ideas fast, without attachment 

✓ You can operate at 60–70% information and keep moving 

✓ English Upper Intermediate+

Bonus points: 

— Experience in B2B SaaS, AI, automation, sales-tech, HR-tech, or fintech 

— Background as co-founder, founder, or 0→1 startup contributor Not a fit if: 

✗ You wait for tasks from the CEO 

✗ You think in features, not revenue 

✗ You avoid customer calls

✗ You need a mature product team and a clear roadmap

 Details: 

→ Probation period: 4 months (120 days)

 → Reports to: CEO 

→ Format: fully remote, async-first

On behalf of our client, we are looking for a Senior AI Engineer

Requirements:

- 5+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure

- Expert-level Python

- Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable)

- Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction)

- Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar)

- Strong understanding of distributed systems, parallel processing, and large-scale data pipelines

- Solid SQL and data modeling fundamentals

- Experience with Docker and containerized deployments

- Experience with cloud platforms (GCP preferred, AWS/Azure acceptable)

- Strong backend/system design mindset (performance, scalability, reliability)

- Ability to work independently and take ownership

- Strong problem-solving skills in complex environments

- English level: B2+ 

- Availability to overlap with US business hours

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

Тренувати, доводити до продакшну та інтегрувати моделі для
аналізу аудіо та текстової інформації в шумних, реальних
умовах.

ПРО ПРОЄКТ:
Ми будуємо ML-платформу для аналізу аудіо та текстової інформації — з
високою зашумленістю, складними акустичними умовами та великою
різноманітністю лексики. Це повний life-cycle: збір та підготовка даних,
тренування моделей (ASR, VAD, класифікація тексту, NER, ембеддинги),
експорт у продакшн (ONNX / TensorRT / Triton) та інтеграція у потокові
пайплайни (Apache Flink, RabbitMQ, Kafka). Кінцеві споживачі — аналітики,
які працюють з великими обсягами інформації; тому якість моделей та
якість їх інженерної реалізації одинаково критичні.

ЧИМ ВИ БУДЕТЕ ЗАЙМАТИСЯ
Тренувати та доводити до продакшну моделі у трьох суміжних доменах:

• ASR Speech-to-text — fine-tuning сучасних архітектур (CTC, RNN-T, TDT, attention-based) на шумних аудіо. PyTorch Lightning, NeMo, Hydra-конфіги, multi-GPU.
• VAD Voice activity detection — fine-tuning рекурентних та CNN-based моделей на спектрограмах, threshold optimization, ROC-аналіз.
• NLP / IR Текст та пошук — multi-label класифікація на трансформерах та класичних методах, NER, дедуплікація тексту (MinHash LSH) та аудіо (contrastive embeddings, SimCLR), векторний та повнотекстовий пошук.

— Експортувати моделі в ONNX, готувати TensorRT-плани (FP16, optimization profiles, dynamic shapes), інтегрувати в NVIDIA Triton (ensemble, BLS, dynamic batching, instance groups).
— Будувати продакшн-сервіси: FastAPI-фронти, асинхронні воркери на RabbitMQ / Kafka / S3 / Redis, інтеграція в Flink-пайплайни.
— Проводити ретельні бенчмарки: WER, F1 per-class, ROC-AUC, RTFx, throughput, A/B-тести з людьми розмітниками (Prodigy).

— Читати papers, відтворювати state-of-the-art підходи та адаптувати їх під наші дані.

— Версіонувати дані та моделі (DVC + MinIO/S3), трекати експерименти (Weights & Biases), писати тести (pytest), проходити code review.

ОБОВʼЯЗКОВІ ВИМОГИ

• 5+ років комерційного досвіду в ML / NLP / Information Retrieval. CV-досвід не потрібен.
• Python як основна мова — впевнене володіння сучасним Python (3.11+), типізація, async/await, написання чистого підтримуваного коду.
• PyTorch на рівні автора кастомних training loops — не лише Trainer.fit(), а й написання своїх loop-ів, distributed training (DDP, gradient accumulation, mixed precision), розуміння як працюють loss-функції під капотом (CTC, RNN-T, contrastive losses).
• Принаймні один глибокий досвід в одному з напрямків: ASR / sequence-to-sequence, класичний NLP на трансформерах та класичних методах, або Information Retrieval (BM25, dense retrieval, MinHash / LSH, ранжування).
• Здатність читати та відтворювати papers — брати модель або підхід з arXiv, розуміти trade-offs, адаптувати під свої дані, а не лише запускати готові скрипти.
• Інженерія продакшну — досвід доведення моделі від ноутбука до сервісу: експорт (ONNX / TorchScript), оптимізація інференсу, побудова REST / gRPC API, написання тестів (unit + integration).
• HuggingFace екосистема — впевнена робота з transformers, datasets, tokenizers, accelerate, evaluate, hub; досвід fine-tuning, custom training loops, кастомних токенайзерів (BPE, SentencePiece, WordPiece).
• Класичний ML — sklearn, XGBoost, threshold tuning для imbalanced multi-label задач, метрики Precision / Recall / F1 (macro/micro/per-class), ROC-AUC.
• Git, pre-commit, лінтери, CI — сприймати ці речі як норму, а не як перешкоду. Англійська — читання технічної документації та papers без труднощів.

БУДЕ ПЛЮСОМ

• NVIDIA Triton Inference Server — ensemble, BLS, Python backend, config.pbtxt.
• TensorRT — компіляція engine, optimization profiles, INT8/FP16 квантизація.
• ONNX Runtime — оптимізація графів, провайдери (CUDA / TensorRT / CPU).
• Data engineering — Apache Flink, Kafka, потокова обробка, DVC, data pipelines.
• Інфраструктура — Docker, Kubernetes, Helm, ArgoCD, GitLab CI, AWS (S3, CodeArtifact).

СТЕК, З ЯКИМ ВИ БУДЕТЕ ПРАЦЮВАТИ:
CORE Python 3.11+, uv, PyTorch, PyTorch Lightning, HuggingFace (transformers, datasets, tokenizers, accelerate), spaCy, sentence-transformers, sklearn, XGBoost.

ІНФЕРЕНС ONNX Runtime, TensorRT, NVIDIA Triton; FastAPI, Uvicorn, asyncio, Pydantic v2.

ДАНІ RabbitMQ, Kafka, Apache Flink; S3 / MinIO, Elasticsearch, PostgreSQL, Redis Stack.

MLOPS DVC, Weights & Biases, GitLab CI/CD, Kubernetes, ArgoCD; jiwer (WER), torchmetrics, scikit multilearn, Prodigy.

ЯК МИ ПРАЦЮЄМО:

• Маленька команда, низька бюрократія; рішення приймає інженер, який володіє контекстом.
• Кожна зміна моделі або інфраструктури має чіткі бенчмарки до/після — ми не «відчуваємо що краще», ми міряємо.
• Production-mindset з самого початку: будь-яка модель з ноутбука повинна мати план виходу на сервер.
• Документація, діаграми архітектур, чесні post-mortem-и, культура writing-it-down.

About the Role

We are looking for a Lead AI-First Backend Engineer to join a product team building an AI-powered tourism platform.

This is not a traditional backend role. We don’t need someone who just writes code — we need an engineer who builds features end-to-end using AI tools, takes ownership of delivery, and ensures what gets shipped actually works.

You will use Claude Code and other agentic AI tools to significantly accelerate development while maintaining high standards of architecture, performance, and product quality.

Key Requirements (Must-Have)

• 5+ years of experience with Golang (exceptional 4+ years considered)
• Proven hands-on experience with Claude Code or similar AI coding tools (mandatory)
• Strong experience delivering backend systems in production
• Demonstrated experience leading delivery within a team (informal or formal tech lead)
• Strong English communication skills (Upper-Intermediate or higher)

What Makes This Role Different

• AI writes most of the code — you guide, review, and ship
• You are responsible for end-to-end feature delivery
• There is no QA team — you own quality completely
• This is a hands-on engineering role, not people management

What You’ll Do

• Own features end-to-end: from specification to deployment and bug fixing
• Use Claude Code to generate backend code in Golang
• Review AI-generated code for correctness, performance, and architecture
• Quickly iterate: fix issues, learn the codebase, and ship new features
• Make pragmatic decisions on what to build vs buy vs generate with AI
• Work directly with users/customers to resolve issues and ship fixes fast

Lead Responsibilities (Without People Management)

• Act as the spokesperson for your pod (engineers, product, design)
• Coordinate delivery: break down work, align priorities, remove blockers
• Represent your team in product planning and stakeholder discussions
• Contribute to product decisions and trade-offs with a strong product mindset
• Join client conversations when needed to align on requirements and delivery

👉 You remain primarily a hands-on engineer — leadership sits on top of your IC work.

Tech Environment

• Backend: Golang monorepo (multiple services, no heavy framework)
• Infrastructure: Container-based (Docker, PaaS-managed)
• Databases: PostgreSQL, Redis
• Async: Redis-based queues
• Observability: Jaeger (tracing), Betterstack (logging & alerts)
• AI Tooling: Claude Code (mandatory)

What You’ll Build

• AI-driven platform features and agent-based systems
• Backend services and APIs
• Data pipelines and integrations
• Connections to external APIs (suppliers, partners, AI providers)

You’re a Great Fit If You

• Think in features and systems, not just code
• Use AI as your primary development tool
• Can quickly identify issues in AI-generated code
• Ship fast but always validate quality
• Have led delivery in a team (even without formal title)
• Care about product impact, not just implementation

Important Notes

• This is not a people management role
• This is a high-ownership, high-speed environment
• Candidates must demonstrate real AI-first development experience

This organization specializes in developing advanced healthcare technology solutions designed to enhance patient safety and operational efficiency. It provides a robust platform that leverages biometric identification to ensure accurate patient record linkage, thereby mitigating risks associated with medical identity management. The focus is on delivering secure, compliant, and productivity-improving systems for healthcare providers. These solutions are crucial for eliminating duplicate medical records, preventing identity theft, and safeguarding against insurance fraud within the healthcare ecosystem. The company is committed to transforming patient care through innovative, cloud-based software-as-a-service offerings.

Job Description:

• Possess 5-8 years of progressive experience in software development, specifically focusing on designing and building enterprise-grade applications within a professional setting.
• This role requires a full-time commitment to working on-site at our Lviv location, fostering direct collaboration and team engagement within the office environment.
   

Required Skills:

• Demonstrated advanced expertise in Artificial Intelligence (AI) concepts and their practical application in enterprise software solutions.
• Agentic AI, Codex/GitHub Copilot/Claude Code
• Possess advanced proficiency and hands-on experience with the .NET framework, including C# for developing robust and scalable applications.
• Proven ability to design and implement full-stack enterprise applications, demonstrating comprehensive understanding of software architecture.
• Strong proficiency in modern frontend development frameworks such as Angular or React, enabling the creation of intuitive user interfaces.
• Extensive experience working with leading cloud platforms, specifically AWS or Azure, for deploying and managing scalable applications.
• Mandatory experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm, for efficient application deployment.
• Solid understanding and practical application of DevOps practices and tools to ensure continuous integration and streamlined deployment pipelines.
• Expertise in designing, querying, and optimizing relational databases such as MS SQL Server or Postgres for high-performance data management.
• Demonstrated leadership experience, including the ability to mentor junior developers and effectively lead technical initiatives.
• Exceptional written and verbal communication skills, crucial for effective interaction with internal teams, external customers, and partners.
   

Job Responsibilities

• Design and develop robust, scalable software features for patient access solutions, ensuring high performance and reliability.
• Implement complex software modules and components using C# and .NET, adhering to best practices and coding standards.
• Contribute to the architectural design and evolution of cloud-native applications, focusing on scalability and security.
• Lead the integration of new features into existing systems, ensuring seamless functionality and data integrity.
• Collaborate actively within an agile Scrum team to define, plan, and execute software development cycles from inception to deployment.
• Ensure the developed systems are highly scalable and capable of supporting the demanding requirements of large healthcare organizations.
• Conduct thorough research and analysis to devise innovative solutions for complex challenges related to patient identity management.
• Propose and evaluate technical solutions, considering trade-offs and long-term system implications.
• Mentor and provide technical guidance to junior developers, fostering their growth and ensuring adherence to technical standards.
• Drive the adoption of best practices in software development, including code reviews, automated testing, and continuous integration.
• Optimize application performance and troubleshoot complex issues across various system components.
• Participate in cross-functional discussions with product management, QA, and UX teams to translate requirements into technical specifications.
• Ensure comprehensive documentation of designs, implementations, and operational procedures.
   

We are looking for a highly capable Lead AI-First Golang Engineer to join a project where you’ll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools.

You’ll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user.

Also, we have no QA team — you OWN the quality of what you ship!

Regarding Lead responsibilities:

• This is not a people-management role: no one-to-ones, no performance reviews, no coaching responsibilities.
• Every engineer involved in the project already owns their work end-to-end (IC + DRI), so this role is not about “more ownership”.
• A Lead is the spokesperson, coordinator, and facilitator for their pod, internally with product, design, and leadership, and externally with clients. You think product-first, contribute meaningfully in product planning sessions, and represent your pod in those rooms.
• You remain a hands-on backend engineer. The spokesperson, coordination, and facilitation work sits on top of your IC contributions, not instead of them. Expect the majority of your week to still be engineering.

What you’ll actually do:

• Own features end-to-end: from specs to deployment to fixing bugs
• Use Claude Code to generate Golang backend code
• Review AI output for quality and architectural fit
• Fix bugs to learn our codebase, then rapidly build new features
• Make quick decisions on what to build vs buy vs generate with AI
• Talk to customers when they report issues, and ship fixes the same day

Additionally, at the Lead level:

• Be the spokesperson for your pod, internally with PMs, designers, and leadership, and externally with clients and partners
• Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers, and facilitate hand-offs
• Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs
• Join client meetings when needed to gather context, align on requirements, and report on delivery

Products you will build:

• Platform: data- and AI-focused features, internal tooling, agentic systems
• Integrations: API connections to supplier and business client platforms, data ingestion pipelines, LLM providers

Our stack:

• Backend: Go monorepo (no framework, 3+ services)
• Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose
• Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Async queue
• Databases: PostgreSQL, Redis
• AI tooling: Claude Code (mandatory)

You are a great fit if you:

• You think in features and architecture, and not in single lines of code
• Get frustrated when development takes weeks instead of days
• Can spot subtle bugs in AI-generated code quickly
• You ship fast, but always verify it actually works
• Have shipped real products that customers actually use
• Think “how can AI build this?” as your first instinct
• (Lead) You’re energized by product planning sessions and have opinions about what the pod should build next, not just how
• (Lead) You’re comfortable being the face of your pod, both in internal planning rooms and on calls with clients

Red flags (don’t apply if):

• You’ve never used Claude Code or similar AI coding tools
• You’re a perfectionist who loves to code
• You need detailed specs before starting
• You see AI as a threat rather than leverage
• You’re outside European/African time zones
• (Lead) You’re looking for a people-management role with one-to-ones, performance reviews and career coaching, but that’s not what this is
• (Lead) You want to lead a team in name but not be hands-on in the codebase
• (Lead) You’d rather avoid client meetings or stakeholder-facing conversations
• (Lead) You think product planning is someone else’s job and you just want the tickets handed to you

You must have:

• Ownership mentality with a strive for elegantly simple, high-quality solutions
• Strive for max quality — you test your own work thoroughly since we have no QA team, everything you ship MUST work
• Product mindset — you care about WHY we’re building something
• Proven experience using Claude Code — share specific examples
• Strong Golang experience — you’ll review AI’s code in these and you must understand how it works
• Passion for simple, secure, and observable systems that perform well even under massive load
• Ability to do on-call once in a while to help maintain our platform’s reliability & uptime
• Broad architectural knowledge of building modern full-stack applications
• Excellent spoken English and a good internet connection for daily video calls
• ⚠️ European or African timezones (±3 hours from CET)
• Available full-time (40 hours/week)

Required at Lead level:

• Multi-year experience leading a pod, squad or similar unit (this is a hard must, not a nice-to-have)
• A genuinely product-driven mindset: you think about user value and business outcomes before implementation
• Comfort facilitating and coordinating a pod without relying on formal authority
• Willingness and ability to take part in client meetings and act as the external face of your pod
• Strong spoken and written communication for planning sessions, stakeholder updates, and client conversations

Summary:

• AI-first delivery: proven, demonstrable experience using Claude Code or similar agentic AI tools is a hard must (specific examples expected on the application)
• Senior Golang Developer, 5+ years of experience, can potentially consider really strong candidates with 4 years of experience
• Hands-on engineering position
• Not a people-management role
• Lead part: Demonstrable experience of leading delivery within a team: coordinating, breaking work down, representing the team in planning and stakeholder conversations, facilitating outcomes. Someone who has been the de facto tech lead in a squad for several years without ever holding the formal title is absolutely fine too.
• Strong proficiency in English (Upper-intermediate level or Advanced)
• Full-time
• Fully remote
• Long-term cooperation
• B2B contract
• Paid vacation and sick leave

Recruitment stages:

• Prescreen interview with a recruitment manager (45min)
• Client interview: 1 hr pre-screen with the Engineering Manager (cultural fit, technical mindset assessment)
• Client assignment: 30min task focused on AI usage
• Final interview with client: up to 1 hr meeting with CTO