Jobs AI

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

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

*not applicable for freelancers

About the Product

We are developing a platform of AI analyst coworkers that deliver industry insights. The agents operate in secure, sandboxed environments and can use tools, communicate across channels, and complete complex tasks with human oversight.

About the Role

You will join a small engineering team building and operating the platform’s agentic AI capabilities. This is a hands-on role covering AI agents, system architecture, production reliability, feature design and secure deployment.

Tech Stack

- TypeScript, Node.js, and Bun

- LLM APIs, agent SDKs, and MCP

- SQL and SQLite

- GCP, including Cloud Run, Cloud Build, and Artifact Registry

- Terraform and CI/CD

- Event-driven messaging and asynchronous processing

- Structured logging, monitoring, and tracing

Key Responsibilities

- Design and build production AI agents that can plan, use tools, maintain context, and complete complex tasks.

- Design scalable systems for agent orchestration, messaging, task execution, permissions, and persistent state.

- Integrate LLM providers, external APIs, databases, and communication channels.

- Build secure, sandboxed environments for executing agent workloads.

- Develop evaluation, monitoring, and debugging tools for agent quality and reliability.

- Deploy and operate AI services on GCP.

- Own technical decisions and establish strong engineering, testing, and security practices.

Required Skills

- 7+ years of software engineering experience.

- Hands-on experience delivering production AI or agentic systems used by real users.

- Strong system design experience, particularly with distributed and event-driven systems.

- Strong backend development skills in TypeScript, Python, Go, Java, Rust, or a similar language.

- Experience with LLM APIs, tool calling, structured outputs, context management, and agent workflows.

- Experience with SQL databases, asynchronous processing, retries, idempotency, and failure handling.

- Production experience with GCP, Docker, CI/CD, and infrastructure as code.

- Strong understanding of application security, permissions, secrets, and workload isolation.

- Experience with observability, incident investigation, and production operations.

- Ability to work independently and communicate clearly in a fast-moving environment.

Nice to Have

- Experience with agent frameworks such as LangGraph, LangChain, CrewAI, OpenAI Agents SDK, Claude Agent SDK, or similar.

- Experience with Terraform, Kubernetes, vector search, RAG, or multi-agent systems.

- Experience with financial research or analyst workflows.

Who We Are

Adélie Cognition builds solutions for a private investment firms and offices powered by latest AI models.

We are looking for a Technical Lead for generative AI. You will be the technical face towards an international client in a heavy-asset, maintenance-oriented industry, and you will design and lead the delivery of the solutions.

What you will do

• Lead technical discussions with the client’s innovation team, together with our Managing Director
• Translate operational problems in maintenance and logistics into concrete AI use cases
• Design the architecture of GenAI solutions: advanced RAG, AI agents, document and data processing
• Choose the right approach: custom development, Azure AI or Microsoft low-code (Copilot Studio, Power Platform)
• Lead a small team of engineers and take solutions to production
• Define how solutions are run, monitored and supported after go-live

• Scope and estimate work realistically, in phases

   

Must have

• 7+ years of software engineering, including at least 2 years building LLM-based solutions
• At least one GenAI solution in production with real users, not only a prototype
• Advanced RAG: hybrid search, reranking, chunking strategies, permissions, evaluation (e.g. RAGAS, Langfuse)
• AI agents and tool calling (e.g. LangGraph, Semantic Kernel or similar)
• Strong Python
• Experience with Azure OpenAI or Azure AI Foundry
• Integration with existing systems via APIs (ERP, SharePoint, M365, Entra ID)
• Experience leading engineers or acting as tech lead on a project
• Fluent English (C1+); comfortable presenting to senior client stakeholders

• Honest communication: you say “I don’t know” and ask questions when needed

   

Nice to have

• Fine-tuning (LoRA/QLoRA) or self-hosted open-source LLMs (vLLM, Ollama)
• Copilot Studio, Power Platform, Power Automate, AI Builder
• Angular / TypeScript
• Industrial or OT data: time series, sensor data
• Experience in maintenance, asset management, energy, logistics or supply chain

• Docker, Kubernetes, CI/CD, monitoring

   

   

What we offer

• A lead role on innovative GenAI use cases with an international industrial client
• Direct collaboration with the Managing Director, short decision paths

• Remote work, EU or nearshore

   

Overview

We are looking for a Senior DevOps / Platform Engineer to design, build, and maintain scalable, secure, and reliable cloud infrastructure supporting Machine Learning and Generative AI workloads.

The role focuses primarily on DevOps and Platform Engineering, including AWS infrastructure, Infrastructure as Code (IaC), CI/CD automation, containerisation, monitoring, security, and production operations. Software development with Python is also an important part of the role, particularly for building internal platform tools, automation services, and reusable components.

You will work closely with software engineers, data scientists, ML engineers, and architects to improve platform capabilities and enable teams to develop, deploy, and operate ML and GenAI solutions efficiently.

Candidates with strong DevOps or Platform Engineering backgrounds and Python development experience are welcome, as are Senior MLOps Engineers with solid cloud infrastructure and software engineering skills.

Key Responsibilities

• Design, build, and maintain scalable AWS infrastructure for production applications and ML/GenAI workloads.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.
• Build, maintain, and optimise CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, or similar tools.
• Automate infrastructure provisioning, deployment processes, and operational tasks using Python and scripting.
• Manage containerised environments using Docker and Kubernetes or similar technologies.
• Implement monitoring, logging, alerting, and observability using Amazon CloudWatch, Prometheus, Grafana, and related tools.
• Support and troubleshoot production systems, ensuring reliability, availability, performance, and security.
• Apply AWS security best practices and DevSecOps principles throughout the software development lifecycle.
• Develop and maintain Python-based platform tools, automation services, and reusable components.
• Support the deployment and operation of ML and Generative AI workloads using AWS services, including Amazon SageMaker and Amazon Bedrock.
• Collaborate with engineering, Data Science, and ML teams to improve platform reliability, scalability, and developer experience.
• Contribute to technical standards, documentation, code reviews, and continuous improvement initiatives.

Essential Requirements

• Strong experience in DevOps, Platform Engineering, Cloud Infrastructure, or MLOps engineering.
• Strong hands-on experience with AWS cloud services and production environments.
• Proficiency in Python, including scripting, automation, or development of internal tools and services.
• Practical experience with Infrastructure as Code, using Terraform, AWS CDK, CloudFormation, or similar tools.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, AWS CodePipeline, or equivalent technologies.
• Experience with Docker, Kubernetes, or similar containerisation technologies.
• Understanding of cloud networking, infrastructure security, and access management.
• Experience with production system monitoring, troubleshooting, logging, and observability.
• Good understanding of software engineering practices, including version control, automated testing, code reviews, and reliable deployment processes.
• Ability to collaborate with cross-functional engineering teams and contribute to scalable platform solutions.

Desirable Requirements

• Experience with MLOps, LLMOps, or operating ML/GenAI workloads in production.
• Hands-on experience with Amazon SageMaker, Amazon Bedrock, or other AWS AI/ML services.
• Familiarity with ML lifecycle and orchestration tools such as SageMaker Pipelines, MLflow, or similar platforms.
• Experience with serverless and event-driven architectures using AWS Lambda, SQS, EventBridge, or related services.
• Experience implementing DevSecOps practices and automated security checks.
• Experience designing and maintaining internal developer platforms, shared infrastructure, or reusable engineering tools.
• Familiarity with monitoring and operating AI/ML pipelines and services in production.

Ideal Candidate Profile

We are particularly interested in candidates coming from one of the following backgrounds:

• Senior DevOps Engineer with strong AWS, Infrastructure as Code, CI/CD, and Python experience.
• Senior Platform Engineer experienced in building and maintaining cloud platforms, automation, and developer tooling.
• Senior MLOps Engineer with strong AWS infrastructure, deployment automation, and production operations experience.

When a soldier is wounded, the first record of their care is often a note on a card, a radio call or a medic's memory. Much of it is lost at the first handover. Caslog replaces that with a small recorder that clips onto the casualty, listens to the care being given and turns it into a clinical record that follows the patient from point of injury to hospital. We build it together with combat medics in Ukraine.

We are two founders, Swiss and Ukrainian, both serving military officers, and we have closed our pre-seed round. We're looking for an all-round engineer who builds with agents better than we do, and who makes the whole team faster at it.

WHAT YOU'LL WORK ON

Whatever moves the product forward most, across the whole stack. At the start that is mostly the AI core:

• The speech and extraction pipeline: noisy field audio in, a structured clinical record out, which a human reviews and signs off.
• The improvement loop: every change measured against the last one before it ships, on what medics care about (missed events, wrong details, invented content).
• Backend, security and infrastructure: encryption, access control, a full audit trail, processing that survives crashes, deployments customers can run themselves.
• How we build with agents: the harness, context, review and tests that let a very small team ship what used to take a department.

Your first goal: get the pipeline ready for the device's field tests with Ukrainian medics, with an evaluation set agreed with medics and results that measurably improve against it. You work closely with our technical founder and shape the backlog together. Good arguments change the plan.

OUR STACK

Python, PostgreSQL, Docker and GitLab CI on Google Cloud. Model work in PyTorch, Hugging Face Transformers and NVIDIA NeMo where the product needs it. If you'd pick something better for a job, say so.

WHO YOU ARE

You are a top agentic development talent. You use Claude Code, Codex, OpenCode, Hermes or a similar harness every day, and you know it better than most people who build with it. You can show, for example, that you:

• run several agents in parallel on isolated branches or worktrees and merge their work without chaos;
• write the specs, tests and checks that let an agent verify its own work, and catch it when it says "done" without having run them;
• keep context lean and durable: project instruction files, skills, subagents, hooks, MCP tools and notes that survive between sessions;
• put limits around agents: sandboxes, least-privilege permissions, review gates, token and spend budgets;
• evaluate the agents themselves: compare models and prompts on your own tasks, find where they fail and fix that in the process, not only in the prompt;
• use agents beyond code: labelling data, generating synthetic data, triaging logs and incidents;
• leverage local models and keep up with recent developments such as Decisions APIs.

You have 5+ years of building and running production software, so you know what good code looks like and notice when an agent gets it wrong. Underneath, you're a real engineer:

• You have depth in backends, and you've fixed them when they broke in production.
• You treat data as carefully as code and think about security by default: clean test splits, authentication, secrets, least privilege.
• You are pedantic about cleaning up repos and keeping them tidy, simple and secure.
• You can design a system end to end and explain your choices in plain words.

Bonus: fine-tuning and serving models, audio and speech work, speaking Ukrainian, a background in medicine or the military.

FORMAT AND WHAT WE OFFER

• Full-time, part-time or contractor: we're open to the format that fits you. Pay and share options depend on the format and the time you commit, and we agree them.
• Work on the core of a product with an unusually clear purpose: wounded people getting the right care.
• We pay for your coding-agent subscriptions. Fully remote, with occasional meetups in Kyiv.

This is defense work. If that's not for you, we understand and would rather you know now. We don't hire citizens of Russia or Belarus, and every hire passes a background check.

HOW TO APPLY

No cover letter needed. Send us your CV, your GitHub and LinkedIn profiles, and something you built with agents. Tell us about one place where the agent got it wrong and how you noticed. If it's a match, we run a one-week paid trial on real work together.

Position overview
Domain: Banking / FinTech

We are looking for a Senior Business Analyst to support complex IT delivery initiatives for a large banking client. The role requires strong banking domain knowledge, enterprise IT experience, and practical use of AI tools to improve business analysis, requirements management, documentation, and stakeholder communication.

Responsibilities

• Gather, analyze, and document business, functional, and non-functional requirements.
• Use AI tools to accelerate requirements analysis, documentation, meeting summaries, backlog preparation, process analysis, and research.
• Facilitate workshops, interviews, backlog refinement, and requirement clarification sessions with business and technical stakeholders.
• Translate business needs into clear user stories, acceptance criteria, process flows, use cases, and specification documents.
• Analyze banking processes, identify gaps, dependencies, risks, business rules, and improvement opportunities.
• Support solution design by clarifying data flows, integrations, system behavior, and operational scenarios.
• Maintain and prioritize product backlog together with product owners and delivery teams.
• Support UAT planning, test scenario preparation, defect clarification, and business validation.
• Ensure requirements are aligned with banking regulations, audit expectations, security standards, and internal governance.
• Apply AI responsibly, respecting confidentiality, data privacy, compliance, and internal banking policies.
  
  Requirements
• 6+ years of experience as a Business Analyst, System Analyst, Product Analyst, or similar role.
• Strong experience with requirement collection, documentation, stakeholder management, and process analysis.
• Hands-on experience writing user stories, acceptance criteria, BRDs, FRDs, process flows, use cases, and data mapping documents.
• Good understanding of software delivery lifecycle, Agile/Scrum, and enterprise IT delivery.
• Ability to communicate effectively with both business and technical stakeholders.
• Strong analytical thinking, structured documentation, facilitation, and problem-solving skills.
• Experience with tools such as Azure DevOps, Jira, Confluence, Visio, Miro, SharePoint, Excel, and PowerPoint.
• Practical experience using AI tools such as Microsoft Copilot, ChatGPT Enterprise, Azure OpenAI, or similar for business analysis tasks.
• Understanding of AI limitations, prompt quality, human review, confidentiality, and responsible AI usage in regulated environments.
• Upper-intermediate or advanced English.
  
  
  
   

Dataforest are seeking a Senior Data Scientist / Tech Lead who is deeply focused on engineering and technology while looking to expand into leadership. In this role, you will focus on designing advanced AI/ML architectures, writing clean production code, and guiding a small cross-functional team of 3–4 engineers. This position offers a direct growth path to step up into a full Team Lead role as the team expands.
 

What you’ll do:

• Hands-on Development & Architecture: Design and build AI/DS architectures, write clean, maintainable Python code, and implement advanced ML/LLM solutions.
• Technical Leadership: Lead and mentor a small group of 3–4 developers, perform code reviews, and ensure engineering excellence.
• R&D & Innovation: Research and evaluate new technologies (LLM, RAG, Agentic workflows) and build Proofs of Concept (PoCs) for client projects.
• Process & Career Growth: Gradually take on managerial responsibilities (sprint planning, task estimation, 1-on-1s) with the explicit opportunity to grow into a Team Lead position.
   

 You'll be a great fit if you have:

• 5+ years of hands-on experience in Data Science and Machine Learning.
• Tech-First Mindset: Strong technical background with a primary focus on engineering, architecture, and technology execution.
• Small Team Experience: Prior experience in mentoring, leading code reviews, or guiding a small team of 3–4 engineers.
• AI & LLM Stack:
  • Hands-on expertise with LLM, RAG, LangChain, LangGraph, and modern AI frameworks.
  • Solid knowledge of Python, data structures, and algorithms.
  • Experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
• Leadership Ambition: Strong interest in growing leadership and managerial skills over time.
• English: Upper-Intermediate (B2).
  
  We ensure your growth with:
• Great networking opportunities with international clients and challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leave;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team-building activities and corporate events.

We are looking for an experienced AWS Engineer / .NET Developer with strong expertise in Amazon Web Services, .NET/C# web development, and AI technologies.

Must Have

• Strong hands-on experience with AWS (Amazon Web Services)
• Solid commercial experience with C# and .NET / .NET Core
• Strong experience with ASP.NET Core
• Experience with ASP.NET MVC
• Experience developing Web APIs / REST APIs
• Experience with web applications and web services
• Good knowledge of HTML, CSS, JavaScript / TypeScript
• Experience with modern web frameworks such as React and/or Angular
• Practical experience with AI technologies and AI-powered solutions
• Experience integrating AI capabilities into software applications
• Good understanding of cloud architecture and AWS services
• Experience with Git and CI/CD

• Good problem-solving skills and ability to work independently

   

Responsibilities

• Design, develop and maintain web applications using C#/.NET and ASP.NET Core
• Develop and maintain ASP.NET MVC applications
• Build and maintain Web APIs and REST APIs
• Develop backend services and cloud-based applications
• Work with AWS to deploy, maintain and scale applications
• Develop and integrate AI-powered functionality
• Integrate AI services and APIs into existing software products
• Work with frontend technologies such as JavaScript/TypeScript, React and/or Angular
• Improve application performance, scalability and reliability
• Participate in code reviews, technical discussions and architecture decisions
• Work closely with other developers, architects and technical teams

The candidate should have hands-on commercial experience with these technologies and be able to independently work on complex software and cloud-based solutions.

Role Description
We’re looking for a contract designer to join a well-established AI software startup. You’ll shape how the company’s brand shows up everywhere: sales decks, trade show booths, email, landing pages, and merch. Just as important, you’ll build the foundation that lets the rest of the team design well on its own. That foundation is a design system written in markdown, which AI design tools like Claude Design can read and apply consistently across the organization.

This role is for a designer who is excited about AI and already uses it every day for inspiration, image generation, and fast iteration. You’ll own projects end-to-end, work closely with the company’s marketing and go-to-market teams, and have real influence over how an AI-native company approaches marketing design as it scales.

Responsibilities

Design Systems & AI Enablement

• Build and maintain the company's design system as structured markdown files covering brand principles, color, typography, layout, imagery, components, and usage rules, so AI design tools such as Claude Design can apply it directly.
• Create templates and guidelines that let marketers, sellers, and other non-designers produce on-brand decks, one-pagers, and visuals on their own.
• Test the design system across tools and use cases, spot where outputs drift from the brand, and refine the source files to keep results consistent.
• Document workflows and coach the team on getting high-quality results from AI design tools.

Design & Production

• Design sales enablement materials: pitch decks, one-pagers, case studies, battle cards, and proposal templates.
• Create trade show and event branding, including booth graphics, signage, banners, and printed collateral.
• Design branded merchandise and swag.
• Design email templates and landing pages in close collaboration with the marketing team.
• Use AI tools for concepting, moodboards, and image generation to move from brief to polished output quickly.

Collaboration

• Partner with marketing, growth, and go-to-market teams to turn briefs into polished, on-brand visuals.
• Manage multiple projects at once and deliver on deadline without sacrificing quality.
• Give and receive feedback constructively, and iterate quickly on stakeholder input.

Qualifications

• Required: proven experience in a similar role, building brand and marketing design systems for a tech or SaaS company, ideally in a startup environment.
• 3+ years of design experience, with a portfolio that shows range across brand, marketing, and sales materials.
• Hands-on experience using AI in your design work, including image generation (Midjourney, Adobe Firefly, or similar), AI-assisted ideation, and AI design tools such as Claude Design. Please share examples with your application.
• Experience building or maintaining design systems or brand guidelines, and comfort writing them in markdown or another structured, text-based format.
• Comfort working independently in a remote-first environment with minimal hand-holding.
• Strong communicator who can explain design decisions, incorporate feedback, and teach others to use the systems you build.
• Experience in B2B SaaS, adtech, or marketing technology is a bonus, not a requirement.

We’re looking for an AI-forward Backend Developer to help build a platform focused on international payments, crypto infrastructure, and blockchain integrations.

The platform integrates external payment and financial service providers such as Bridge, works with crypto and stablecoin-related services, and supports on-chain interactions. The backend is primarily API-driven, connecting external systems, processing transactions and events, and storing application data in MongoDB.

We value engineers who are passionate about developer platforms, enjoy solving integration challenges, and use Claude and other AI-powered tools to accelerate development.

Responsibilities

• Develop and maintain backend services using Node.js, TypeScript, and Express.js.
• Design and implement REST APIs and integrations with third-party services.
• Integrate payment infrastructure providers such as Bridge and similar fintech or crypto platforms.
• Build backend workflows for international payments, stablecoins, and crypto-related operations.
• Work with blockchain APIs, on-chain transactions, and transaction status monitoring.
• Design and maintain MongoDB schemas, data models, and persistence logic.
• Implement webhooks, background jobs, asynchronous workflows, and reliable error handling.
• Ensure data consistency and reliability when processing payment and blockchain events.
• Deploy, maintain, and monitor backend applications and services on AWS.
• Apply security best practices when handling sensitive financial data and transaction workflows.
• Use Claude and other AI-powered development tools in daily engineering tasks.
• Collaborate with the team on architecture, implementation, and technical improvements.

Requirements

• Strong experience with Node.js and TypeScript.
• Practical experience building backend services with Express.js.
• Experience with MongoDB and database design.
• Proven experience integrating third-party APIs into production applications.
• Good understanding of REST APIs, webhooks, authentication, and asynchronous processing.
• Experience deploying and maintaining applications on AWS.
• Understanding of crypto, blockchain fundamentals, and on-chain transactions.
• Familiarity with financial transaction workflows, error handling, and data consistency.
• Hands-on experience with Claude or similar AI coding tools.
• Ability to work independently, troubleshoot complex integrations, and take ownership of backend features.

Nice to Have

• Experience with fintech, international payments, or cross-border payment systems.
• Previous experience integrating Bridge or similar payment and crypto infrastructure providers.
• Knowledge of stablecoins, crypto wallets, blockchain APIs, and transaction signing.
• Familiarity with Ethereum and EVM-compatible networks.
• Experience with smart contracts, blockchain event indexing, or transaction monitoring.
• Familiarity with AWS services, queues, background workers, and distributed systems.
• Experience building developer platforms, public APIs, or SDKs.
• Basic familiarity with React or Next.js to support full-stack collaboration when needed.

Who We’re Looking For

We’re looking for a practical, AI-first backend engineer who uses Claude to accelerate implementation, explore solutions, debug issues, and improve code quality without blindly relying on generated code.

You enjoy building backend systems that connect external APIs, process financial data, and interact with blockchain infrastructure. You understand the importance of security, reliability, and proper error handling when working with payment systems and on-chain transactions.

You’re comfortable working in a lean team, making technical decisions, and delivering straightforward solutions without unnecessary complexity. A passion for developer platforms and making API integrations easier for other developers is a strong advantage.

What We Offer

• The opportunity to build a product at the intersection of international payments, crypto, and blockchain.
• An AI-first development environment with tools such as Claude.
• A lean team, direct communication, and technical ownership.
• The opportunity to work on real-world payment integrations and crypto infrastructure.

If you enjoy backend engineering, API integrations, blockchain technology, and AI-assisted development, we’d love to hear from you.

We are looking for a Lead AI/ML Engineer to join our AI Center of Excellence (AI CoE). This role combines hands-on delivery of AI, GenAI, Agentic AI, and AI-native engineering solutions with practice development, presales support, mentoring, research, and AI SDLC enablement. The successful candidate will act as a technical leader on client projects while helping strengthen the company’s internal AI capabilities, delivery standards, reusable assets, engineering practices, and AI delivery methodologies.

The role is expected to be split approximately as follows:
— 50% Project Delivery — leading the design and implementation of AI, GenAI, and Agentic AI solutions for clients.
— 50% AI CoE Contribution — supporting presales, capability development, AI SDLC initiatives, mentoring, workshops, internal accelerators, and R&D.

Required for this role

Experience:

• 5+ years of commercial software engineering experience with substantial hands-on coding responsibilities.
• 3+ years of hands-on experience designing, building, and delivering AI, Machine Learning, or Generative AI solutions in production environments.
• Experience leading technical teams or acting as a Technical Lead on client-facing projects.
• Proven experience collaborating with cross-functional teams and communicating effectively with both technical and business stakeholders.

AI & GenAI Expertise:

• Deep practical experience with Large Language Models (LLMs), embeddings, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and model evaluation.
• Proven experience designing and deploying complex AI systems involving agent orchestration, multi-agent architectures, coding agents, and AI-native engineering workflows.
• Hands-on experience with modern AI assistants and coding agents such as Claude, GitHub Copilot, Cursor, Windsurf, or similar platforms.
• Experience building AI-powered development accelerators and automation frameworks, including prompt management, context engineering, tool integration, skills, agents, feedback loops, and AI SDLC workflows.
• Strong understanding of emerging AI engineering practices, model capabilities and limitations, evaluation methodologies, and responsible AI principles.

Software Engineering & Architecture:

• Strong software engineering foundation, including software architecture, clean code principles, automated testing, source control, DevOps, CI/CD, and modern software delivery practices.
• Proven experience designing scalable, secure, reliable, and maintainable AI-powered systems for production environments.
• Ability to incorporate governance, observability, security, and operational considerations into AI solution architectures.

Leadership & Professional Skills:

• Strong leadership, mentoring, presentation, facilitation, and stakeholder management skills.
• Ability to drive technical decisions, establish engineering best practices, and guide teams through AI solution delivery.
• Ability to manage multiple initiatives, adapt quickly to changing priorities, and effectively switch contexts in a fast-paced environment.
• Strong written and verbal English communication skills.

Nice to Have:

• Experience in presales, solution consulting, proposal preparation, technical workshops, solution estimation, and client-facing architecture discussions.
• Experience defining and implementing AI engineering standards, AI SDLC practices, or AI transformation initiatives within engineering organizations.
• Anthropic Solution Architect Foundational certification or other recognized AI, cloud, or platform certifications.
• Experience with enterprise AI governance, AI observability, AI evaluation frameworks, and agent operations (AgentOps).

Your responsibilities

Project Delivery and Technical Leadership:

• Lead the design and delivery of AI, ML, GenAI, and Agentic AI solutions for client projects.
• Act as a technical lead for AI agents, copilots, AI-powered workflows, and AI-enabled engineering initiatives.
• Define solution architecture, technical approach, implementation standards, and delivery plans.
• Guide engineering teams on model integration, retrieval-based solutions, agent workflows, evaluation, monitoring, and deployment.
• Lead projects using modern AI-native engineering methodologies, including Specification-Driven Development (SDD), to improve delivery speed, quality, traceability, governance, and engineering productivity.
• Translate business requirements into structured specifications, acceptance criteria, and implementation plans that can be consumed by both engineering teams and AI agents.
• Review technical designs, architecture decisions, code quality, delivery risks, and AI governance considerations.
• Collaborate with client stakeholders, project managers, business analysts, architects, engineers, and QA teams.

Presales and Client Engagement:

• Support discovery calls, technical workshops, and client consultations.
• Prepare solution concepts, technical proposals, estimates, and delivery approaches.
• Contribute to statements of work, proof-of-concept planning, and architecture documentation.
• Support sales and account teams with technical expertise during presales activities.

AI SDLC and Practice Development:

• Help define and improve company practices for applying AI across the software delivery lifecycle.
• Contribute to defining and evolving company standards for AI-native software delivery and Specification-Driven Development.
• Create practical approaches for using AI in discovery, requirements, design, development, testing, deployment, and support.
• Develop reusable specification templates, evaluation plans, agent instructions, and delivery playbooks.
• Contribute to internal frameworks for coding agents, AI evaluations, quality gates, responsible AI delivery, and AI governance.
• Support the development of repeatable delivery models for AI and GenAI projects.

Mentoring, Enablement, and Community Leadership:

• Mentor engineers, tech leads, and delivery teams in AI, GenAI, Agentic AI, AI SDLC, and SDD practices.
• Conduct internal and client-facing workshops on AI-first engineering and AI-enabled software delivery.
• Support knowledge sharing and capability growth across the organization.
• Participate in technical interviews and hiring activities.

Research and Innovation:

• Lead R&D initiatives in GenAI, AI agents, AI SDLC, and AI-assisted software delivery.
• Explore new tools, frameworks, cloud services, and delivery practices.
• Build prototypes and proof-of-concepts to validate new ideas.
• Develop reusable accelerators, frameworks, demos, and delivery assets.

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

We’re looking for an AI-forward Full-Stack Developer to help build a platform focused on international payments, crypto infrastructure, and blockchain integrations.

The platform connects third-party services, payment infrastructure providers such as Bridge, and blockchain-based systems. The product involves API integrations, stablecoin-related functionality, on-chain interactions, and reliable data processing.

We’re looking for someone passionate about developer platforms, experienced in integrating external APIs into real-world products, and enthusiastic about using Claude and other AI-powered tools to build software faster and more effectively.

Responsibilities

• Build and maintain full-stack applications using Node.js, TypeScript, React, and Next.js.
• Develop backend services and REST APIs using Express.js.
• Integrate third-party APIs for international payments, financial services, and crypto infrastructure.
• Work with providers such as Bridge and similar payment and stablecoin infrastructure services.
• Implement blockchain integrations, on-chain interactions, and crypto-related workflows.
• Design and maintain MongoDB schemas and data models.
• Build responsive frontend interfaces and connect them to backend services.
• Implement webhooks, asynchronous workflows, transaction status tracking, and error handling.
• Deploy, maintain, and monitor applications on AWS.
• Use Claude and other AI-powered development tools throughout the development lifecycle.
• Contribute to architecture decisions, code quality, and developer experience.

Requirements

• Strong experience with Node.js and TypeScript.
• Hands-on experience with React and Next.js.
• Experience building backend services and APIs with Express.js.
• Practical experience with MongoDB and database-driven applications.
• Experience integrating third-party APIs into production products.
• Familiarity with AWS and cloud-based application deployment.
• Understanding of REST APIs, webhooks, authentication, and asynchronous processing.
• Knowledge of crypto, blockchain fundamentals, and on-chain transactions.
• Experience using Claude or similar AI coding tools as part of everyday development.
• Ability to work independently, solve technical challenges, and deliver features end to end.

Nice to Have

• Experience with fintech, international payments, or cross-border payment systems.
• Previous integrations with Bridge or similar payment and crypto infrastructure providers.
• Experience with stablecoins, crypto wallets, blockchain APIs, or smart contracts.
• Familiarity with Ethereum and EVM-compatible networks.
• Experience with AWS services, background jobs, queues, and distributed systems.
• Experience building developer platforms, public APIs, or SDKs.

Who We’re Looking For

We’re looking for an AI-first engineer who actively uses Claude to research, implement, debug, and improve code while maintaining a strong understanding of the systems being built.

You’re passionate about developer platforms and enjoy making complex integrations simple and reliable. You can move comfortably between frontend and backend development, connect external services, and build practical solutions involving payment systems and blockchain infrastructure.

You value speed, ownership, and maintainable code over unnecessary complexity.

What We Offer

• The opportunity to build a product at the intersection of international payments, crypto, and blockchain.
• An AI-first development workflow using modern tools such as Claude.
• A lean team, direct communication, and ownership of technical decisions.
• The opportunity to work on real-world financial infrastructure and API integrations.

If you enjoy full-stack development, API-driven products, crypto infrastructure, and AI-assisted engineering, we’d love to hear from you.

We are looking for an AI/ML Research Scientist to join our team!

Responsibilities

• Conduct cutting-edge research in applying machine learning techniques to chip design and optimization problems
• Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures
• Collaborate with cross-functional teams including engineers and researchers
• Publish research findings in top-tier conferences and journals
• Prototype and validate new approaches using modern ML frameworks
• Contribute to open-source or commercial EDA tools

Minimum Qualifications

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)

Preferred Qualifications

• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science

Location: Fully Remote
Project: Enterprise Conversational AI Platform Migration to AWS

Project Overview

We are looking for an experienced Conversational AI Expert to support the migration of an existing contact center environment from Genesys and Cognigy AI to Amazon Connect and Amazon Bedrock AgentCore.

The project focuses on building a scalable, enterprise-grade AI platform on AWS, with particular emphasis on Retrieval-Augmented Generation (RAG), enterprise knowledge integration, and multi-agent orchestration.

A key part of the solution is developing a comprehensive RAG-based knowledge layer that brings together large volumes of enterprise information, including documentation, repositories, internal services, and other knowledge sources. This knowledge must be made accessible to AI agents through appropriate retrieval mechanisms, APIs, gateways, and cloud-based integrations.

The role involves coordinating AI agents and sub-agents across AWS services and integration layers, ensuring reliable access to enterprise knowledge and backend systems. While the platform supports voice and chat channels, the primary focus of this position is on the underlying AI architecture, knowledge retrieval, and agent integration rather than voice technology or telephony implementation.

Key Responsibilities

• Design, implement, and optimize enterprise RAG solutions that enable AI agents to retrieve and use information from large, diverse knowledge sources.
• Integrate enterprise documentation, code repositories, internal services, and other data sources into AI-powered knowledge and retrieval pipelines.
• Configure and orchestrate AI agents and sub-agents using Amazon Bedrock AgentCore and Amazon Connect.
• Design and implement integrations between Amazon Connect AI agents and Amazon Bedrock AgentCore agents and runtime through the Bedrock AgentCore Gateway.
• Coordinate end-to-end interactions between AI agents, retrieval components, AWS services, gateways, APIs, and backend systems.
• Collaborate with the dedicated Bedrock AgentCore development team responsible for agent logic, aligning interfaces, input/output schemas, and error-handling strategies.
• Apply best practices for retrieval quality, prompt engineering, context management, agent guardrails, and reliable access to enterprise knowledge.
• Test, evaluate, and continuously improve the quality, relevance, and reliability of AI-generated responses and agent workflows.
• Document solution patterns, integration guidelines, and architectural decisions, and transfer knowledge to the client and project team.

Required Qualifications

• Several years of hands-on experience building or integrating conversational AI, LLM-based applications, or enterprise AI assistants.
• Practical experience with RAG architectures, including knowledge ingestion, document processing, retrieval pipelines, and grounding LLM responses in enterprise information.
• Experience integrating AI agents with multiple data sources, APIs, repositories, and enterprise backend systems.
• Experience with multi-agent systems, agent orchestration, or integrating LLM-powered components across distributed services.
• Experience with AWS Bedrock in enterprise integration scenarios, ideally including Amazon Bedrock AgentCore and the AgentCore Gateway, or comparable API and gateway technologies.
• Good understanding of AWS services for AI, serverless computing, and integration, such as AWS Lambda, API Gateway, EventBridge, and CloudWatch.
• Ability to work effectively across complex enterprise environments involving multiple teams, services, APIs, and integration layers.
• English proficiency at B1 level or higher, with the ability to communicate effectively in international project teams.

Preferred Qualifications

• Hands-on experience with Amazon Bedrock AgentCore, including agent runtime, gateway integrations, tool access, and orchestration patterns.
• Experience with Amazon Connect AI capabilities and integrations, including contact flows and connecting conversational interfaces to external AI services.
• Familiarity with LangChain and/or LangGraph for implementing RAG pipelines and orchestrating complex LLM or multi-agent workflows.
• Experience designing enterprise knowledge architectures that combine multiple repositories, document sources, internal services, and APIs.
• Experience with monitoring, evaluating, and improving RAG and agent-based systems in production environments.
• Experience with enterprise contact center migrations, particularly from Genesys and/or Cognigy AI to Amazon Connect.
• Fluent business English, including participation in technical workshops and coordination with international stakeholders.

Engagement Details

• Work arrangement: Fully remote
• Primary focus: Enterprise RAG, knowledge integration, multi-agent orchestration, and AWS-based AI integrations
• Technology stack: Amazon Bedrock AgentCore, Amazon Connect, AWS Lambda, API Gateway, EventBridge, CloudWatch, and related AWS services

We’re looking for a Middle/Senior AI/ML Engineer to join a data-driven digital product used by millions of users across the MENA region. You’ll build predictive and optimization models that improve pricing accuracy, lead scoring, and data quality, taking them from feature development and evaluation to AWS deployment and monitoring.
 

Required for this role

• 4+ years of experience in Data Science or Analytics roles, with a demonstrable track record of business impact.
• A bachelor’s degree or higher in Mathematics, Computer Science, Data Science, or another quantitative field.
• Strong knowledge of Python, including pandas, NumPy, and Scikit-learn, together with proficiency in SQL.
• Practical experience with PyTorch or TensorFlow.
• Hands-on experience with supervised and unsupervised learning, feature engineering, model tuning, and evaluation metrics.
• Experience deploying machine learning models using AWS SageMaker, AWS Lambda, and Amazon ECS.
• Solid understanding of statistical methods, experimental design, and hypothesis testing.
• Ability to translate ambiguous business problems into clear technical solutions and data-driven initiatives.
• Strong communication skills, including the ability to explain complex findings to non-technical stakeholders.
   

Your responsibilities

• Design and implement predictive and optimization models using classical machine learning, statistical modeling, and deep learning techniques.
• Develop models that improve pricing accuracy, lead scoring, and listing quality across the property portal.
• Own the full model lifecycle, from feature extraction and development to production deployment on AWS SageMaker, AWS Lambda, and Amazon ECS.
• Establish MLOps practices, including CI/CD pipelines for models and production monitoring.
• Build evaluation pipelines and support A/B testing frameworks to validate model performance and reliability.
• Collaborate with engineering teams to ensure production models meet latency, scalability, and operational requirements.
• Monitor model performance, data quality, and drift over time, and contribute to reliable monitoring practices.
• Partner with Product, Strategy, and Commercial teams to align project objectives and translate business goals into data-driven solutions.
   

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities
   

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities
   

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops
   

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives
   

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.