Jobs ML / AI

Hello! We’re looking for a motivated and tech-savvy Trainee AI Specialist to support our work on intelligent AI-driven systems. From smart chats and LLM prompt design to autonomous AI agents and process automation — you’ll get hands-on experience building tools that solve real-world business challenges.

 

Key responsibilities:

• Building and testing AI agents for lead research, client outreach, and pipeline management;
• Designing and refining prompts for Large Language Models (LLMs) to improve conversation quality and task performance;
• Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
• Developing lightweight chatbots and conversational flows for use in marketing or support;
• Supporting data collection and processing to enable targeted outbound campaigns;

• Collaborating with team members to improve AI-driven workflows and propose better strategies.

   

Requirements:

• Solid interest in AI, LLMs, and workflow automation;
• Basic experience with tools like OpenAI, or agent frameworks;
• Basic understanding of Python, JavaScript/TypeScript and willingness to improve skills through practical application. 
• Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
• Strong problem-solving skills and the ability to independently conduct online research and experimentation;
• Upper-intermediate level of English (written and verbal);

• A self-starter with a learning mindset — not afraid to test, iterate, and improve.

   

What you will have with us:

• Regular Performance review;
• Paid out-of-office days;
• Opportunity to learn and improve your English.
• Flexible work schedule;
• Well-equipped office;
• Career Path and growth opportunities.

About company

We are a software development company that provides digital technology services from mobile and web development to custom software solutions. We're dedicated to delivering innovative, high-quality solutions tailored to your unique needs.

About the Role

We are building a large-scale conversational AI platform focused on personalized human–AI interaction. The product operates at significant real-world scale, serving tens of millions of users and processing over 80 million tokens per day. The platform works in a complex domain that requires advanced alignment, moderation, and low-latency inference.

We are looking for a Tech Lead to take ownership of the LLM direction and lead a small team of AI engineers. This is a hands-on role combining system design, model development, and production engineering. The product operates in an uncensored / NSFW environment, which requires careful, context-aware moderation rather than simplistic safety filters.
 

What You Will Do

• Lead and build the LLM systems powering the core conversational experience. You will architect and evolve the core chat loop, including context windows, memory and RAG pipelines, and inference performance.
• Own the full model lifecycle, including prompt design, supervised fine-tuning, and preference optimization. You will make decisions on when to fine-tune models, when to redesign retrieval pipelines, and how to manage data quality at scale.
• Design and implement moderation and alignment systems suitable for an explicit environment. This includes building custom classifiers and moving beyond binary safe/unsafe decisions toward nuanced, context-aware moderation.
• Work closely with DevOps and backend teams to deploy, monitor, and continuously improve production systems used by millions of users globally.
   

Requirements

• You have 8+ years of engineering experience and a strong track record of shipping ML or LLM-based systems to production at scale.
• You are highly proficient in Python and PyTorch and familiar with modern LLM tooling and infrastructure.
• You are comfortable working with NSFW content and understand the technical and ethical challenges of moderating explicit conversational systems.
• You have strong intuition for LLM behavior, including how prompting, sampling, and alignment techniques affect model outputs.
• You prioritize practical, shippable solutions and take ownership of system reliability, performance, and user impact.
   

Team & Environment

You will lead a small LLM team and collaborate closely with DevOps and web/backend engineers. The environment emphasizes autonomy, direct communication, and a strong bias toward execution and measurable impact.

This role is a hybrid Data Ops + ML Engineer position responsible for both data ingestion foundations and AI/ML capability. The platform analyses real customer conversations alongside CRM and campaign data to surface actionable insights for revenue teams. Having successfully delivered a working MVP, the next phase is focused on scaling, improving observability, and laying the foundation for multi-client onboarding. This is a "ground-up" ownership role, setting the standards for data and ML scale-out during a high-growth phase.

About the Product

• The platform is designed to identify customer patterns faster for marketing and commercial teams. It sits at the intersection of B2B, SaaS, LLMs, and sales enablement.
• Al-native platform: Analyses customer conversations and related
  sales/marketing data.
• Modern Stack: Built on a cloud-native stack using Google Vertex AI and serverless workloads.
• Status: A functional MVP is complete and entering scaling and
  enhancement.

Responsibilites

Data Ops

• Extend and automate ingestion connectors including email, transcripts, and conversational tools.
• Maintain standardised metadata and traceability from source to insight.
• Define and evolve data models that support RBAC, analytics, and AI
  retrieval.
• Own data quality validation, schema alignment, and error monitoring.

ML/LLM Engineering

• Improve prompt design, error-handling, and structured output quality.
• Optimise token cost, latency, grounding strategy, and hallucination
  safeguards.
• Introduce evaluation metrics for insight quality and utilisation.
• Partner with engineering for scalable model deployment and lifecycle management.

Must-Have Experience & Skills
Technical Requirements

• Experience: 4+ years in data engineering / ML engineering hybrid teams preferred.
• Languages: Python required.
  Cloud & Infra: Google Cloud Platform, especially Vertex AI and Cloud
  Functions.
• Data Platform: PostgreSQL experience and data modeling capability.
  ETL/Ingestion: Airbyte, Cloud Composer, or similar ingestion orchestration.
• MLOps: API-driven LLM integration (OpenAI, Anthropic, Vertex).
  Soft Skills & Behaviours.
• Ownership mindset: Accountable for outcomes, not just tasks.
• Bias for action: Pragmatism over perfection.
• User empathy: Focuses on AI that feels useful, not just functional.

Success Criteria
First 3-6 Months:

• Ingestion Foundation: Robust, automated ingestion supporting multiple formats and sources.
• Data Quality: Tagging, validation, and metadata enabling meaningful
  downstream AI.
• Insight Consistency: Prompts and model config deliver repeatable, trusted insight patterns.
• Observability: Clear dashboards, alerting, and data lineage controls.

Engagement Details

• Number of Roles: 1
• Target Start Date: February 2026
• Engagement Type: Potential Temp to Permanent hire after 6 months, but primarily looking for perm options
• Location: Fully remote (Core collaboration on UK hours)
• Working Hours: 8h per day
• Core overlap required: 10:00–16:00 London (GMT/BST)

Assessment Process
1. CV & GitHub/Portfolio review.
2. Technical screening (Data + ML scenarios).
3. Live ingestion / prompt engineering exercise.
4. Founder + leadership interview for culture and ownership fit.

What We Offer:

• Full remote with flexible business hours;
• Three weeks of vacation per year (15 working days);
• Paid sick leave per year (5 working days);
• Amazing opportunities for professional growth within a top-notch team of professionals;
• Competitive compensation commensurate with your experience and skills;
• English lessons;
• Co-working compensation;
• An excellent team with a friendly atmosphere.

We are building a premium, large-scale dataset of ~3 million images spanning art, culture, and history (paintings, objects, architecture, historical scenes, etc.) with the goal of licensing it to leading AI companies (OpenAI, Meta, Google, Amazon, Apple, and others) for LLM and multimodal model training.

Our focus is to structure the collection for modern requirements in multimodal training, alignment, retrieval (RAG), and multimodal reasoning — and to make the dataset “buyer-ready” for enterprise AI labs.

Role mission

We’re looking for a specialist who understands what AI model developers truly need from training datasets and can help us design and refine the dataset’s structure, metadata, annotation standards, documentation, packaging, and legal readiness for commercial licensing.

Key responsibilities

• Advise on which image + metadata pairs are most valuable for VLM/LLM developers.
• Design or refine a scalable metadata schema (JSON-based; optionally aligned with LIDO / CDWA / CIDOC CRM) suitable for:
  • Vision-Language Models (VLMs)
  • Retrieval / RAG workflows
  • Fine-tuning and alignment
• Review and improve our current schema (~17 fields per image across visual, cultural, technical, and legal metadata).
• Define annotation standards for:
  • Objects/attributes and composition
  • Style, period, and cultural context
  • Multi-level captioning (short / detailed / expert-grade)
  • VQA (Visual Question Answering) pairs
  • Synthetic negatives for robustness
• Recommend packaging and delivery formats preferred by major AI labs (JSONL, Parquet, TFRecord, etc.).
• Ensure compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Provide guidance on provenance, licensing language, and legal compliance for AI training usage.
• Help position the dataset as a premium, commercially licensable AI training asset.

Required expertise

Demonstrated experience in one or more of:

• LLM or multimodal training data (vision-language datasets, CLIP-style, VQA, DETR, etc.)
• Dataset design for AI labs, research institutions, or large-scale ML pipelines
• Cultural heritage / museum / archival metadata standards (LIDO, CDWA, CIDOC CRM, Getty AAT)
• Structuring datasets for zero-shot learning, cross-modal reasoning, and multilingual AI
• Data licensing for AI training (public domain, CC0, custom licenses)
• Data evaluation, benchmarking, or alignment

Nice to have

• Prior work with OpenAI, Meta, Google, Amazon, Apple, or similar AI organizations
• Experience with large image datasets (100k+ items)
• Familiarity with RAG systems and embedding-based retrieval
• Experience preparing datasets for commercial sale or enterprise clients

Deliverables

Depending on scope, deliverables may include:

• Written recommendations on dataset structure and field definitions
• Improved/final metadata schema with JSON examples
• Annotation and captioning guidelines
• Enterprise-grade dataset documentation for AI buyers
• Optional: review of a sample subset of images and metadata

About us:

Our product is a fitness mobile application with AI generation of the fitness plan creation and analization of user’s performance.

The application is developing for iOS and Android, built using React Native and Expo. Our goal is to create a fast, reliable, and scalable user experience while maintaining a simple, pragmatic, and adaptable architecture that is ready for growth.

We intentionally work with a lean stack:

• AI-powered features built with Vercel AI SDK, integrating modern LLM-based workflows directly into the product
• React Native / Expo for cross-platform mobile development
• TypeScript with strict typing and schema-first validation
• Supabase (PostgreSQL, RLS) as a backend platform to minimize custom infrastructure

• Clerk for authentication and identity management

   

About the role:

As an AI Engineer for this health-tech mobile product, you will be responsible for shaping the AI agent and driving production-ready LLM experiences centered around the AI agent. You will work within a modern stack to build reliable services and handle complex data generated for the user avatar.

 

Key Responsibilities

• Advanced Prompt Engineering: You will design complex, dynamic prompt templates with conditional logic to ensure the AI avatar provides high-quality, personalized motivation based on specific user inputs and context.

• Structured Outputs & Schemas: You will design an AI agent in a way to ensure the avatar's health and nutrition advice is predictable and fits the app’s logic.

• Observability & Debugging: Using Langfuse (or similar), you will perform deep debugging of LLM chains to identify bottlenecks and optimize for cost, latency, and context window usage. You will also develop scoring systems to identify and resolve logic errors or hallucinations in the avatar's reasoning.

• AI A/B Testing & Evaluation: You will run systematic experiments via OpenRouter to compare different models and make deployment decisions based on quantitative benchmarks rather than intuition.

Qualifications & Technical Skills

• AI Frameworks: Proven experience with AI SDKs for managing complex workflows.

• Cursor experience is a plus.

• Core Stack: React Native, TypeScript, Supabase, Clerk, Vercel AI SDK.

• Observability Tools: Proficiency in Langfuse (or similar) for tracing, creating test datasets, and integrating real-time feedback scoring.

• Evaluation Methodology: Experience building deterministic validation systems.

• Analytical & Iterative Mindset: The ability to transform raw logs into actionable technical insights and a focus on continuous product improvement.

About the company
Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

Role overview
You’ll own the practical rollout of AI across iSpeedToLead - from aligning stakeholders to shipping automations that teams actually use. The goal is simple: turn AI initiatives into measurable business results and smooth user-facing experiences by connecting engineering work with day-to-day operations.

🔧 What You’ll Be Doing:

• Coordinate AI implementation projects across ops, sales, marketing, and customer support from kickoff to launch
• Translate business needs into clear technical tasks, and keep communication tight between AI/ML engineers and non-technical stakeholders
• Plan and manage timelines, scope, and delivery, removing blockers to keep projects on track
• Troubleshoot issues during rollout and ensure AI tools integrate cleanly into existing workflows and systems
• Train internal teams on new AI-driven tools and define simple adoption playbooks so usage sticks
• Build and optimize automation workflows in Make.com using APIs, webhooks, and AI model capabilities
• Design, refine, and maintain prompts and response formats (including structured JSON outputs) for reliable system integrations

✅ What Makes You a Strong Fit:

• 3+ years of experience in technical project management, AI implementation, automation, or integration roles
• Hands-on experience with OpenAI API, including Assistants, model selection, and function calling
• Advanced prompt engineering skills, including behavior tuning and managing edge cases in production use
• Working knowledge of model differences across OpenAI, Anthropic Claude, Google Gemini, and Amazon Bedrock/Amazon Q
• Strong Make.com experience building automations with webhooks, API calls, error handling, and monitoring
• Practical experience integrating speech-to-text and text-to-speech tools into workflows
• Confidence working with JSON formatting and dynamic parameter mapping for dashboards, tools, or UIs
• Experience shipping AI agents or model-powered features into live workflows used by real teams
• Strong communication skills - you can explain AI behavior and limitations clearly to non-technical stakeholders
• English level B2+ - used daily for documentation, cross-team communication, and working with global tools and APIs

➕ Bonus if you have:

• Experience implementing AI in SaaS, marketplaces, or real estate tech products
• Familiarity with Zapier and work tools like Jira, Slack, Notion, Monday.com, or Trello
• Experience working in Agile/Scrum teams and running predictable delivery rituals
• Basic understanding of ML concepts, data structuring, and how model performance is evaluated in practice

🎁 Why You’ll Love It Here:

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

We're looking for NLP Engineer, remote

Requirements:

• BS/MS degree in Computer Science or related field;
• Upper-Intermediate level of English is mandatory;
• 3+ years commercial experience in Natural Language Processing / Machine Learning;
• Proficiency in Python and strong programming skills;
• Experience with NLP frameworks and libraries, including PyTorch and TensorFlow;
• Strong understanding of NLP techniques for text classification, summarization, NER, semantic search;
• Experience with deep learning language models such as BERT, GPT, or similar;
• Excellent problem-solving skills and analytical thinking.
• Strong communication skills and the ability to work in a collaborative team environment.

Would be a plus:

• Hands-on experience with MLOps system architecture using Hadoop, Docker, Kubernetes, cloud services (GCP/Amazon/Azure).

With us you can:

• Develop your technical knowledge:
• Use latest technologies;
• Participate in technical events and conferences (the cost is covered by the company);
• Opportunity to work with microservices and a lot of modern technology;
• Regular techtalks and professional development.
• Improve your soft skills:
• Build strong teamwork skills and become an essential part of the dynamic teams;
• Increase your productivity and communication level via Scrum, Kanban, Agile methodologies.

Bitmedia Labs is an international product IT company that has been building ambitious innovative products for millions of users worldwide since 2014 — combining deep tech expertise with a creative mindset.

Our ecosystem spans:

•  Game Development — building the next generation of Web3 gaming, where gameplay comes first, players own their assets, and developers thrive within massive, engaged communities.
• Digital Marketing Ecosystem — building a unified ecosystem that combines a leading high-performance advertising platform with emerging media and affiliate solutions.

Requirements:

• 2+ years of experience with Python programming and software development;
• Hands-on experience working with LLM models and APIs (OpenAI, Claude, Gemini, LLaMA, etc.);
• Practical knowledge of AI/ML libraries and frameworks (LangChain, Hugging Face, PyTorch, TensorFlow);
• Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.) and embeddings;
• Demonstrated expertise in prompt engineering techniques and best practices;
• Basic experience with model fine-tuning and training pipelines;
• Strong SQL skills and experience with relational/NoSQL databases;
• Proven experience building APIs and backend services (RESTful APIs, background workers, task queues, data processing services) and understanding of application architecture and system design principles;
• Strong problem-solving skills, ability to work independently with minimal supervision, and capacity to research and learn new technologies autonomously;
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.

Nice-to-Have:

• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment and production implementation of AI solutions;
• Knowledge of Docker containerization, DevOps practices, MLOps, model monitoring, and CI/CD pipelines;
• Understanding of semantic search techniques, advanced embedding strategies, and experience processing unstructured data (text, images, audio) at scale;
• Proficiency with data visualization tools and techniques (Plotly, D3.js, Tableau);
• Working knowledge of web technologies fundamentals (HTML5, CSS3, JavaScript);
• Knowledge of authentication, authorization, and security best practices for AI applications.

Hiring process:

• Intro call with a Recruiter — Interview with the Hiring team — Сollection of recommendations — Offer.

Join Bitmedia Labs to evolve, explore, and make a real difference — together.
Our culture is built on openness, trust, and support. We value initiative, ownership, and results. We work as one team — helping each other, celebrating wins, and learning from challenges together.

We offer the freedom and space to grow:

• ​Professional growth and self-realization through ambitious products;
• ​The opportunity to bring your ideas to life, experiment, and directly influence the product’s development;
• Collaboration with talented teammates united by a shared goal.

We also care about well-being and balance:

•  Flexible schedule and the option to work remotely or from our hubs in Kyiv, Warsaw, and Berlin;
•  Competitive compensation, regular performance reviews, paid vacation, sick leave, and public holidays;
• ​Modern Apple equipment and thoughtful corporate gifts for holidays and personal milestones.
• ​Support for your growth: courses, workshops, and conferences.
• Through our charity foundation Bit Spilka, run by volunteers from our team, we support the military, medics, and civilians across Ukraine — already delivering over $500,000 in aid. Here, your work also drives social impact, and you can also join our volunteer initiatives.

If this resonates with you , send your CV and join us.
Let’s foster the world together!

We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs) to design, develop, and implement AI-powered automations across the company.

Your primary responsibility will be to work in the team that analyzes internal processes, identifies automation opportunities, and builds intelligent solutions that improve efficiency, accuracy, and scalability.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely within a team to define required data and methods to solve a given problem.
• Design, develop, and deploy LLM-based automation tools to streamline internal workflows across departments.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Evaluate model performance, optimize prompts, and improve system accuracy and reliability.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Ensure data privacy, security, and compliance in all AI solutions.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience:

• Strong hands-on experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Proficiency with Python and common AI/ML libraries (PyTorch, TensorFlow, LangChain, etc.).
• Good presentation/communication skills.
• Good written and spoken English (B2 level).
• Good math skills.
• Experience with deep learning.
• MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject.

Would be a plus:

• PhD in AI, Machine Learning, Statistics, Computer Science or related.
• Able to build meaningful visualizations of results.
• Experience with data-mining methods and technologies.
• Previous work with automotive or IoT data analytics.
• Previous work on open source projects.
• Knowledge of machine learning in data analytics, decision making systems, regression, supervised and unsupervised learning.

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

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.

We seek an AI & Automation Specialist to design and deploy AI‑driven workflows that enhance Transfer Pricing processes.
This hands‑on role focuses on building AI agents, crafting prompt systems, and developing automation flows that translate complex Transfer Pricing requirements into efficient solutions.

Main Responsibilities:

• Development, testing, and implementation of AI agents and prompts for automating transfer pricing processes;
• Implementation of ideas using artificial intelligence (AI) and automation technologies;
• Conducting internal research and working on AI-driven solutions for transfer pricing;
• Support and enhancement of AI solutions, taking into account the specifics of transfer pricing and adapting them to business requirements;
• Collaboration with other specialists to implement AI solutions;
• Use of automation tools such as Power Automate and Power Apps (considered a plus).

Key Requirements:

• Graduate or current student — preferably in Economics, Finance, Computer Science, or Business Analytics;
• Preferably basic experience with AI tools (Prompt Engineering, No-Code AI Tools, Copilot);
• Analytical thinking and the ability to translate business ideas into agent logic;
• Interest in developing AI-based and automation solutions;
• Written and spoken English at B1–B2 level.

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

Job Description

• Master’s or PhD in Computer Science, AI, Biomedical Engineering, or a related field.
• 7+ years of experience in AI/ML with at least 4 years focused on computer vision and deep learning.
• Proven experience with CNN architectures (e.g., ResNet, UNet, EfficientNet, VGG).
• Experience with GANs (e.g., CycleGAN, StyleGAN, Pix2Pix) and synthetic image generation.
• Hands-on with TensorFlow, PyTorch, OpenCV, and related vision libraries.
• Strong understanding of preprocessing techniques for medical imaging data (e.g., DICOM, NIfTI).
• Familiarity with training in cloud environments (Azure, AWS, GCP).
• Experience in deploying models and integrating with PACS systems or cloud-native imaging stacks.
• Solid understanding of model performance metrics and validation strategies for imaging.
• Excellent communication skills and at least Upper-Intermediate English level.

Preferred Qualifications (Nice to Have)

• Experience with FDA/CE Class B or C medical imaging products.
• Familiarity with explainable AI (Grad-CAM, LIME) and fairness techniques for imaging models.
• Knowledge of FHIR, HL7, and healthcare data standards.
• Understanding of HIPAA, GDPR, or other relevant data protection regulations.
• Experience with AI for surgical robotics, augmented reality in healthcare, or histopathology image analysis.
• Involvement in technical presales or client advisory initiatives.

Job Responsibilities

• Design, develop, and optimize AI models for computer vision, segmentation, objects detection, image classification, etc.
• Lead computer vision and AI solutioning in client engagements and presales discussions.
• Build CNN- and GAN-based architectures tailored for healthcare and medical imaging use cases.
• Prepare and preprocess large-scale datasets from modalities like X-ray, CT, MRI, and digital pathology.
• Guide annotation strategies and quality control for labeled data.
• Collaborate with cloud, DevOps, and QA teams to integrate models into production pipelines.
• Ensure model robustness, explainability, and regulatory readiness (e.g., traceability, reproducibility).
• Conduct technical workshops and communicate complex concepts to clients in an accessible way.
• Stay current with research trends and evaluate new techniques for potential integration.
• Contribute to internal accelerators, frameworks, and IP development.

Department/Project Description

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, designing advanced AI solutions for medical image analysis, and launching projects involving computer vision, deep learning, and generative AI. You’ll work on cutting-edge use cases like diagnostic assistance, surgical planning, and radiology automation, bringing meaningful impact to patient care. If you’re passionate about AI in healthcare and want to drive innovation with real-world results, we’d love to hear from you.

About the Role

We are looking for a Senior Python Backend Engineer to join a Client’s SaaS team and build production-grade backend services and large-scale LLM-powered systems.

This role requires strong backend engineering, deep service design experience, and hands-on work with LLM inference in production, including self-hosted models. You will work on scalable AI-driven services, optimize inference pipelines, and ensure reliability, performance, and cost-efficiency of LLM workloads in real-world production environments.

Location: Remote
Cooperation Type: Full-time, long-term
Experience Level: 7+ years
Start: ASAP

Responsibilities

• Design, develop, and maintain scalable backend services using Python and FastAPI
• Build and operate production-grade LLM inference pipelines
• Deploy, host, and optimize self-hosted LLM models (not only external APIs)
• Design systems for LLM request routing, batching, caching, and latency optimization
• Build high-performance APIs for AI-driven features and SaaS product workflows
• Process large-scale structured and unstructured data (text, embeddings, events, documents)
• Design and optimize PostgreSQL schemas and queries for performance and concurrency
• Build asynchronous and event-driven systems (RabbitMQ or similar)
• Monitor, debug, and optimize production systems under real traffic and load
• Collaborate with ML, Product, and Infrastructure teams on AI system architecture
• Ensure reliability, observability, scalability, and cost-efficiency of AI services
• Write clean, maintainable, and well-documented code

Requirements

• 7+ years of backend engineering experience with Python
• Strong hands-on experience with FastAPI (or Flask / Django REST)
• Hands-on experience running LLM inference in production
• Experience hosting and operating self-hosted LLM models
• Strong service design and distributed systems experience
• Experience building LLM pipelines (orchestration, routing, prompt pipelines, RAG, etc.)
• Strong experience with PostgreSQL (indexes, optimization, concurrency)
• Experience with message queues (RabbitMQ or similar)
• Experience with Docker and CI/CD
• Experience optimizing latency, throughput, and cost in high-load services
• Ability to start quickly, take ownership, and work independently
• English: Upper-Intermediate or higher

Nice to Have

• Experience with self-hosted LLM serving (vLLM, TGI, Triton, TensorRT, etc.)
• Experience with vector databases and embeddings pipelines
• Experience with GPU workloads / inference optimization
• Kubernetes or container orchestration
• Experience with RAG pipelines
• MLOps / ML infrastructure experience
• Experience with ETL / ELT pipelines

What We Offer

• Competitive compensation based on experience (gross system)
• Fully remote cooperation
• Fast hiring process and quick start
• Opportunity to work on a real AI product with immediate impact
• Direct collaboration with a client’s engineering team

What happens after you apply

• Quick CV review
• Short recruiter call
• Technical interview with LITSLINK team & technical meeting with the Client
• Fast decision & offer

We’re looking for an  AI Automation Engineer with experience in AI tools and workflow optimization to join our growing team. You’ll help us automate and scale both internal and client-side processes. This is a long-term opportunity for smart, ambitious professionals eager to grow their skills and take ownership of impactful automation systems.

What You’ll Do:

• Build and maintain n8n workflows that integrate with business tools and AI tools
• Build API integrations to platforms like Apollo, Clay, HubSpot, SalesNav, HeyReach
• Develop custom tools using Supabase, Lovable, and other AI development tools
• Optionally contribute to more technical projects and custom-coded automation or AI solutions

What You Need:

• At least 1 year of commercial experience in software development or automation
• Proficiency with n8n (or Make.com / Zapier) and understanding how to build complex automations
• Knowledge JavaScript or Python to write custom logic in workflows and 
• Being comfortable working with APIs and webhooks
• Hands-on experience with HubSpot, GHL, ActiveCampaign, or similar CRMs
• Knowledge of Cursor/Claude Code/Copilot for AI-assisted development
• Practical experience with databases(Supabase, Airtable, etc)
• Proven experience integrating AI platforms (OpenAI, Anthropic, Azure AI, etc.) into automation workflows
• Strong understanding of prompt engineering & LLM’s
• Experience working cross-functionally in distributed teams

Would be a plus:

• Deep understanding of sales pipeline

Why Join Us?

• Work on multiple dynamic projects across marketing, sales, and leadgen
• Opportunity to grow into a more technical role working with code and complex AI/automation solutions
• Shape how automation is used in real-world business contexts

Benefits:

•  Fully remote work with flexible hours 
•  Ability to influence technologies and tools used in your projects
•  20 business days of vacation per year + paid sick days
•  Accounting support provided

On behalf of our Client from the UK, Mobilunity is looking for a Senior Applied AI Engineer.

In this role, you will own and drive large portions of our AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG)pipelines, and evaluation frameworks. You will be responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure —while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines.

Full-time, long-term.

Schedule:For candidates outside UK - during UK business hours.
Requirements:

• Build, test, and deploy backend services and APIs (Python/ Django/ FastAPI preferred, but other languages/frameworks welcome).
• Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
• Ensure scalability, performance, and security across the stack.
• Develop and deploy AI-powered features in production, including RAG(Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
• Create data pipelines for AI model training, evaluation, and continuous improvement.
• Mentor junior developers and promote engineering best practices.

Requirements:

• 5+ years of professional software engineering experience.
• Hands-on experience building and deploying AI applications in production environments.
• Strong backend development skills (Python preferred)
• Solid understanding of relational databases.
• Experience with Git and collaborative development workflows.
• Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Strong problem-solving skills and a passion for building great products.
• Experience implementing background workers and task queues (Celery, RQ, etc.).
• Proficiency with Redis for caching, pub/sub, or job queues.
• Hands-on experience building and deploying AI applications in production environments.
• Experience implementing RAG pipelines, AI agent orchestration, and performance monitoring.
• Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.

In return we offer

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one
• for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups.

Come on board, and let's grow together!

Description:
We are seeking a GenAl Developer with a strong background in Large Language Models (LLM) and GenAI engineering. This is a unique opportunity to work with Deloitte US clients and engage in global projects, leveraging your extensive skills in generative Al tools. As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative
projects

Requirements:

• Minimum of 3 years of experience as a Back End developer.
• Strong proficiency in Python and experience with microservices architectures.
• Familiarity with orchestration frameworks (langchain, langgraph, crewai, autogen etc) and API integrations.
• Knowledge of Backend Frameworks such as Node.js and Django.
• Knowledge of APIs such as JSON and REST
• Good understanding of AI protocols and standards.
• Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field
• Excellent problem-solving and analytical skills.
• Experience working on global teams collaborating via tools such as Jira, Teams, ADO.

• Advanced level of English.

   

Responsibilities:

• Implement effective and scalable Python code.
• Develop and implement GenAI applications including
• Large Language Models (LLM).
• Utilize GenAl engineering tools such as LangChain, RAG, Vector Database for implementation and optimization.
• Stay updated with Al protocols and standards and ensure their correct application in projects.
• Collaborate with other team members to understand requirements and develop solutions.
• Analyze complex problems, identify and define the computational requirements to solve them.