Jobs ML / AI

We are looking for a Senior AI Engineer / AI Solution Architect to support AI-driven automation and digitalization project.

This role is ideal for someone with strong Python backend experience, hands-on work with LLM-based solutions, AI agents, orchestration frameworks, and Microsoft Azure AI services.

You will work on practical AI solutions for information extraction, process automation, system integrations, and production-ready AI workflows.

What You’ll Do

• Design and develop AI agents
• Build backend services and APIs with Python
• Work with FastAPI or similar Python frameworks
• Implement AI/LLM-based information extraction pipelines
• Build orchestration logic using LangChain, LangGraph, or similar frameworks
• Integrate LLMs into business applications and workflows
• Work with Microsoft Azure AI services
• Develop system integrations and APIs
• Implement asynchronous, queue-based, and event-driven processing
• Support deployment, monitoring, maintenance, and continuous improvement

What We’re Looking For

• Senior or Architect-level experience
• Strong hands-on experience with Python backend development
• Experience with FastAPI or similar backend frameworks
• Experience with LLM integration and AI agents
• Experience with LangChain, LangGraph, or similar orchestration frameworks
• Experience with Microsoft Azure technologies, namely:
  • Azure OpenAI
  • Azure AI Foundry
  • Azure Document Intelligence
  • Azure Blob Storage
  • Azure Storage Queues
• Solid understanding of APIs, system integrations, queues, and event-driven architectures
• Experience with production systems, not only prototypes
• Ability to work independently and take ownership of technical delivery
• Excellent communication skills in English

Nice to Have

• Experience with enterprise system integrations
• Experience with deployment, monitoring, and DevOps operations
• Experience with RAG, embeddings, vector search, or knowledge retrieval solutions
• Experience with CI/CD, Docker, or cloud monitoring tools
• Consulting or stakeholder-facing experience

Application Details

We appreciate applications that closely match the requirements.

To help us evaluate the profile properly, we would appreciate it if the CV clearly shows how and on which projects the required skills were used.

Please include:

• CV in English
• Earliest start date 

We’re looking for an AI Engineer to join our outsourcing team — not a pure ML researcher, but a pragmatic, data-driven backend engineer who knows how to put LLMs, vision APIs, and off-the-shelf models to work inside real products.

Most of our work isn’t training models from scratch — it’s understanding the business logic, collecting and cleaning data, wiring it into LLMs or services like AWS Textract, and shipping the result as a reliable API inside our existing platform.

If you’ve spent the last few years building APIs and integrations, you’re comfortable with data, and you’ve leaned hard into Cursor or Claude Code to deliver projects faster — this is for you.

What you’ll do

• Build and ship LLM-powered features: prompt design, data prep, passing context to the model, parsing and validating output, returning clean APIs.
• Design and implement integrations between our product and third-party AI services (OpenAI, Anthropic, Hugging Face models, AWS Textract, etc.).
• Take document-processing and computer-vision tasks end-to-end: ingest → Textract/vision API → post-process → structured output consumed by our backend.
• Write backend services and APIs in Node.js (our primary backend), dropping into Python when a task calls for it (model work, data scripts, fine-tuning).
• Fine-tune existing models and prompts — not from scratch, but iterating on what’s already in place to get better accuracy, cost, or latency.
• Do the unglamorous but critical work: data collection, cleaning, transformation, pattern-finding — often by letting an LLM do the heavy lifting on structured and unstructured input.
• Maintain and improve existing AI and automation workflows already running in production.
• Monitor cost and performance of model/API usage, propose optimizations, and forecast costs for new features.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Document architecture, prompts, and pipelines in Confluence.

What we’re looking for

• 2+ years shipping production backend systems, with meaningful hands-on experience integrating LLMs or AI APIs into real products.
• Strong in Node.js with the flexibility to work in Python — or a Python engineer who’s comfortable committing Node.js code. We need someone fluent on both sides; pure-Python candidates won’t be a fit.
• Solid grasp of algorithms and data structures — enough to write custom logic when an LLM or library can’t cover the case.
• Real experience with LLM integrations: OpenAI, Anthropic, or similar. Prompt engineering, function/tool calling, structured output, retrieval, evaluation.
• Familiarity with the Hugging Face ecosystem — picking models, running inference, fine-tuning where it makes sense.
• API and integrations background: REST, auth, webhooks, rate limits, retries, idempotency — the stuff that makes integrations not break at 2 a.m.
• Comfortable with data work: collecting, cleaning, transforming, and analyzing data (SQL, pandas, or the Node equivalents).
• Working knowledge of AWS — especially Textract, Lambda, S3, and the services around document and data pipelines. Bonus for Athena, Glue, Kinesis, SageMaker.
• Exposure to NLP and Computer Vision concepts — enough to pick the right tool and evaluate results, not necessarily to train SOTA models.
• Familiarity with CI/CD and deploying AI-powered services to production.
• Experience building chatbot workflows — conversational flows, multi-turn logic, context management — is a plus, as this is among our planned projects.
• AI-native delivery workflow. You use Cursor or Claude Code daily and know how to ship a project with minimal hand-written code — scoping work for the agent, reviewing generated code critically, orchestrating multi-step tasks, and getting to shipped quality faster than a traditional workflow. If you can’t describe how you use these tools to deliver, this role isn’t the right fit.

Nice to have

• Experience fine-tuning open-source LLMs or vision models on domain-specific data.
• Background in fintech, healthcare, or construction domains.
• Experience with vector databases, RAG pipelines, or agentic workflows.

What we offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).

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.

Key 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.
• 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

We are seeking a Senior Python Developer with AI or ML experience to join our AI & Data project. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, Antigravity, and custom MCP servers to automate your own development lifecycle - from data exploration and model evaluation to code generation and documentation.

Requirements:

• 4+ years of professional experience in software engineering (Python) 
• Proven experience with AI or ML projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern AI or ML ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn), with a strong foundation in engineering best practices such as code modularity, testing, and version control.
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring, including CI/CD pipeline development and containerization using tools like Docker or GitHub Actions.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.
• Good English to work in a multinational team
• Strong problem-solving and follow-up skills; must be proactive and take initiative

Responsibilities: 

• Design, develop, and maintain scalable Python applications and services that integrate AI/ML components.
• Write clean, testable, and efficient code following software engineering best practices
• Implement containerization and deployment workflows using Docker and/or Kubernetes
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be reused across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.
• Work independently on development tasks with a minimal amount of supervision

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About Us
We're a product company building AI-powered solutions for international markets. Our team is lean and fast-moving — we don't wait months to make decisions. We test, analyze, and scale what works. If that's how you naturally operate, keep reading.

The Role
This isn't a portfolio role. You'll measure success in CTR, hook rates, and conversions — and you'll own the full cycle from concept to launch to performance analysis as a core member of our growth team.

Responsibilities
— Produce video ads and static banners for Meta, TikTok, YouTube, and Google with a clear focus on conversion
— Generate several fundamentally different creative directions every week — not variations of the same idea
— Research competitor ads, identify strong mechanics, and build on them to create more effective versions
— Create UGC-style videos that blend naturally into the feed and don't feel like ads
— Use AI as a default — generation, editing, voiceover, characters — not as an occasional shortcut
— Launch hypotheses, read the data, adjust your approach, and repeat
— Occasionally contribute to landing page and presentation design

Requirements
— Strong grasp of performance metrics — CTR, hook rate, ROAS, scroll-stop rate — and how to move them through creative decisions
— Proven experience with video advertising: you know how to stop the scroll in the first 2 seconds and hold attention through to the CTA
— Hands-on with AI tools for image generation, video production, and voice content (not just aware of them — actively using them)
— Able to develop a concept from scratch with minimal briefing — high autonomy is the default here
— Comfortable maintaining high production volume without sacrificing quality

Nice to Have
Experience with AI avatars (HeyGen, Synthesia, D-ID), voice synthesis (ElevenLabs), or any tooling built for scalable UGC production

We're looking for a creative and detail-oriented AI Creator who wants to create video content using AI and come up with scripts for videos that go viral. 

Who are we?

SonderAds is a marketing team that creates viral commercials and develops its own applications. We focus on short videos that grab attention from the very first seconds and help our marketing team achieve outstanding results.

What we expect from you:

• You have at least 6 months of experience as an AI Creator
• You have experience generating video content using AI (Freepik AI, NanoBanana, Veo, Runway, Pika, Kling etc.)
• You are confident with prompt engineering (ChatGPT, Gemini) and know how to achieve high-quality results
• You keep up with the latest AI developments, test tools, and implement the best ones into your work
• Understanding retention hooks, the first 3 seconds of CTR-first, and the performance structure of videos
• You understand trends and the mechanics of viral content
• You quickly test hypotheses and iterate on creative ideas
• You write clear and compelling scripts
• You approach tasks responsibly and handle revisions calmly

Nice to have:

• Experience in the following sectors: Utilities, AI-driven apps, Lifestyle & Wellness, Dating / Social

• Experience editing videos in CapCut / Premiere / After Effects after AI-generated content

   

  Your tasks:

• Help shape and develop the AI direction within the team
• Generate ideas and hypotheses for advertising creatives
• Turn ideas into scripts with a strong hook and clear structure
• Create video content using AI tools 
• Analyze the market and competitors’ approaches, and adapt the best solutions to our needs
• Work with prompts: create, optimize, and structure them

• Set clear and understandable technical specifications for the motion design team 

   

  We offer:

• Paid internship (1 month) — during this time, you will undergo training with practical tasks, get to know the team, and understand whether the format and tasks suit you.
• Remote work. We work quickly, collaboratively, and with a focus on results.
• Interesting projects with strong growth opportunities.
• Schedule: 10:00–19:00 Cyprus time.
• Paid vacation (20 working days) and sick leave.
• 3-month probation period.
• Fixed take-home pay starting from 1,000 USD (depending on your expertise).
• We follow the Cyprus public holiday calendar.
• If you want to turn your love for trends and creativity into a job that brings you joy—apply now! https://career.sonderads.com/vacancy/ai-creator

Project Description:

We are seeking an Expert Blockchain Developer for a short-term, fixed-scope engagement to facilitate a smooth vendor handoff of our blockchain tokenization platform. The system is designed to capture external off-chain data feeds and utilize that data to mint utility and financial tokens. The architecture leverages Ethereum and Polygon (L2) for smart contract execution, and relies on IPFS for storing metadata, slow-moving reporting data, and JSON files.

Responsibilities:

Your primary goal is to ensure a seamless technical transition from the previous development vendor to our new team. You will audit the current Web3 architecture, evaluate the existing smart contracts, and validate the operational approach for the platform's overall blockchain infrastructure
This is a fixed-scope engagement expected to run for a few weeks. Key responsibilities include:
• Smart Contract Code Review: Conduct a comprehensive code review and audit of the existing Solidity smart contracts, including the core ERC-20 token contracts, certificate data structures, and the central minting controller logic.
• Architecture & Approach Evaluation: Assess the overall Web3 architecture. Specifically, evaluate the strategy of storing metadata and large binary object (BLOB) files on IPFS, while rolling up volume-based transactions on the Polygon blockchain.
• Web3 Tooling Assessment: Review, validate, and document the current Hardhat development kit setup to ensure it is ready for the new team to take over.
• Gas Optimization & Operations: Analyze the smart contracts to ensure they are designed with a very low gas footprint. Evaluate the overall operational gas fees associated with the continuous minting and burning of tokens on the network.
• Integration Audit: Evaluate how the blockchain layer interacts with the system's centralized off-chain services, such as the backend APIs and cloud-managed blockchain nodes.

Mandatory Skills Description:

• Extensive professional experience as a Blockchain Developer specializing in Ethereum (L1) and Polygon (L2) network ecosystems.
• Proven track record working with ERC-20 fungible token standards, including implementing customized minting, burning, and access-control mechanisms.
• Strong hands-on experience using Hardhat as a Web3 development, testing, and deployment environment.
• Deep expertise in writing, auditing, and securely deploying Solidity smart contracts.
• Strong ability to audit code for security vulnerabilities, analyze operational gas costs, and recommend or implement architectural optimizations.
• Demonstrated understanding of decentralized storage, specifically utilizing IPFS for handling JSON metadata and large files.

Nice-to-Have Skills Description:

• Domain knowledge of tokenizing Real-World Assets (RWA) or integrating off-chain industrial data feeds.
• Familiarity with cloud infrastructure, specifically managed blockchain services and serverless computing (e.g., AWS Managed Blockchain, Lambda).
• Understanding of data privacy techniques in Web3, such as utilizing encryption protocols for private IPFS data or implementing Zero Knowledge Proofs (ZKP).
• Familiarity with the broader technological stack commonly utilized alongside Web3 platforms (e.g., ReactJS, Node.js, Python, PostgreSQL, Terraform, Docker).

The product company is looking for an AI/ML Engineer to join their team in Warsaw.

The company is a global live-streaming platform with over 450 million users, enabling creators to engage with audiences and monetize their content. The team consists of 350+ professionals worldwide.

The company offers:
• stock options
• medical insurance (100% for employees, 75% for family members)
• office lunches
• parking
• multisport card

Requirements:
• experience in an ML role
• experience with LLMs (prompt engineering, RAG architectures, integration)

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

Responsibilities: 

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

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

- Leverage your prompt engineering skills to maximize the outcome.

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

Requirements: 

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

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

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

- Excellent English, strong B2 level minimum.

Job details:

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

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

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

The hiring process: 

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

Senior AI & Data Engineer (Remote | Client-Facing | High-Growth Role)

Company: AIPMACT Solution 

Location: Remote (Ukraine – US Timezone overlap required) 

Employment Type: Full-Time

About Us

AIPMACT Solution is a US-based AI and full-stack engineering firm delivering advanced software and data-driven systems to businesses across the United States.

We specialize in LLM-powered applications, scalable data platforms, and cloud-native solutions, helping companies modernize their products with AI.

Role Overview

We are looking for a Senior AI & Data Engineer who can combine strong technical expertise with client-facing communication.

You will work on AI systems, data platforms, and cloud-native applications, while also supporting architecture discussions and solution design with clients.

What You’ll Do

• Design and build LLM-powered applications, RAG pipelines, and AI workflows
• Develop scalable backend services and microservices (Python / Node.js)
• Build and optimize data pipelines (batch & streaming)
• Deploy and manage ML models and AI systems in production
• Collaborate with clients on technical solutions and architecture
• Contribute to end-to-end delivery of AI and data projects

Key Skills

• 5+ years of experience in software engineering
• Strong background in AI / Data Engineering / Machine Learning
• Experience with Python or Node.js
• Hands-on with cloud platforms (AWS, GCP, or Azure)
• Experience with data tools (Kafka, Spark, Airflow, etc.)
• Solid understanding of system design and distributed systems
• Strong communication skills (client-facing experience is a plus)

Nice to Have

• Experience with LLMs, RAG, or vector databases
• MLOps, model deployment, and evaluation pipelines
• Microservices and event-driven architecture
• Experience working in consulting or client-facing roles

Salary & Compensation

• Base Retainer: $500 – $1,000 per month (based on experience & availability)
• Project-Based Earnings: $2,500 – $3,500 per active project/month
• Opportunity to work on multiple concurrent projects
• Performance-based bonuses available

Total monthly earnings vary based on project involvement and performance.

Why Join Us 

Work on cutting-edge AI projects Fully remote, global team Opportunity to work directly with US clients High ownership and impact across projects Flexible, performance-driven environment

Hiring Process

1. Hiring Manager Interview
2. Technical Interview (System Design + AI/Data + Coding)
3. Offer

We’re looking for a motivated Trainee / Junior AI Developer to join our team and help build modern AI-powered products and internal solutions.

Responsibilities:

- Assist in development and improvement of AI-powered applications

- Work with LLMs, chatbots, automation tools, and intelligent workflows

- Support integration of AI APIs and third-party platforms

- Help build internal tools, assistants, and productivity solutions

- Test, monitor, and improve AI outputs and system performance

- Participate in prompt engineering and workflow optimization

- Analyze user needs and suggest AI-based solutions

- Collaborate with developers, designers, and project managers

Requirements:

- Basic commercial or pet-project experience with AI tools / AI development

- Understanding of LLMs, prompt engineering, and AI workflows

- Familiarity with RAG systems, vector databases, and embeddings

- Experience with LangChain, LangGraph, or similar frameworks

- Basic knowledge of Python or JavaScript

- Experience with OpenAI API, Claude API, Gemini API, or similar

- Familiarity with databases (PostgreSQL, MongoDB, or similar)

- Familiarity with Git and modern development tools

- Strong problem-solving mindset and willingness to learn

- English level: Upper-Intermediate
 

Nice to have:

- Experience with Pinecone, Weaviate, FAISS, ChromaDB

- Familiarity with Zapier, Make, n8n, Airtable

- Experience with Docker or cloud platforms (AWS / GCP / Azure)

- Basic frontend or backend development skills

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

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join our dynamic AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to data analytics fraud detection systems.

Key Responsibilities:

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions;
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs);
• Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation;
• Develop web applications (FE / BE / cloud architecture) enabling users to interact with AI systems;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 2+ years of professional experience in this or similar area;
• Experience working on AI/ML projects, in areas such as Generative AI, NLP, Computer Vision or Machine Learning model development and deployment;
• University degree in Mathematics or a similar field is an advantage;
• Programming skills in Python (pandas, plotly, numpy);
• Experience with Full stack development (JavaScript) is a significant plus.
• Experience with SQL databases; familiarity with NoSQL is a plus;
• Experience with generative AI models is a plus;
• Fluent in English (level B2 or higher).

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

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

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

Responsibilities: 

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

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

- Leverage your prompt engineering skills to maximize the outcome.

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

Requirements: 

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

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

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

- Excellent English, strong B2 level minimum.

Job details:

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

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

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

The hiring process: 

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

AI Developer (Remote)

Join a high-performing team building next-generation B2B AI agents. We are seeking an AI Developer to help evolve systems beyond simple LLM wrappers into sophisticated, production-grade agentic workflows with automated evaluation.

Key Responsibilities

Agent Development
Design, build, and maintain autonomous agents and multi-agent systems capable of handling complex business logic.

Agentic Systems Evolution
Transform existing LLM implementations into structured, tool-using workflows with memory, planning, and execution capabilities.

Testing & Evaluation
Develop robust evaluation frameworks (evals) to measure model performance, reduce hallucinations, and ensure output consistency.

Integration
Integrate AI workflows with internal APIs and third-party B2B tools to enable end-to-end automation.

Optimization
Continuously refine prompt engineering, orchestration logic, and structured data extraction to improve performance and cost efficiency.

Requirements

• 3+ years of software engineering experience (Python or TypeScript preferred)
• Some Hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, LlamaIndex)
• Solid experience in API development and technical documentation
• Experience building or implementing AI evaluation frameworks
• Ability to work autonomously in a fast-paced, remote environment

Nice to Have

• Familiarity with agent architectures (planning, reflection, memory)
• Experience with AI observability tools (e.g., LangSmith, Weights & Biases)
• Contributions to open-source AI projects