Jobs ML / AI

We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands-on experience deploying LLM-powered systems into secure, production environments. You will drive initiatives from proof-of-concept through scalable enterprise deployment.

Details: 

Schedule: Full time remote 

Location: Europe-based 

Capacity: 100% (40 hours/week)
Language: English (mandatory), German (nice to have)

Responsibilities

AI Solution Development

Design, develop, and deploy enterprise AI and GenAI services

Guide solutions from PoC to secure production rollout

Build and integrate multi-agent AI systems and LLM-based products

Work with SAP data products and underlying data architectures

Manage ingestion, transformation, caching, and indexing workflows

Support distributed systems and big data processing environments

Implement CI/CD pipelines and MLOps best practices

Automate model training, validation, testing, and deployment

Work with Azure ML, Databricks, or AWS environments

Implement secure API design, secrets management, and access control

Contribute to security concept design

Ensure observability, reliability, and compliance in AI deployments

Collaborate with AI Product Owners, Data Scientists, and stakeholders

Create architecture diagrams, ADRs, and technical documentation

Ensure high-quality, well-documented codebases

Required Experience

7+ years of professional software engineering experience

Strong Python expertise (mandatory)

Experience with Node.js or Java (at least one additional language)

Backend framework experience (FastAPI, Flask, or Django)

Microservices architecture experience

Docker and Kubernetes experience

Experience with GitHub Actions, MLFlow, or similar orchestration tools

Hands-on ETL, API integration, and model deployment experience

Experience implementing CI/CD and MLOps in cloud environments

Knowledge of distributed systems and big data platforms

Experience working in Agile frameworks (Scrum, Kanban)

Fluent English and strong problem-solving mindset

Nice to Have

Experience with multi-agent or GenAI frameworks (LangChain, CrewAI)

Familiarity with SAP AI Core and SAP BTP

Experience with Jira (Scrum, SAFe)

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

Requirements:

- 6+ years of software development experience, including 5+ years in AI/ML or LLM-focused roles

- Strong Python skills

- Hands-on experience with LibreChat (deployment, customization, integrations)

- Experience with LLMs (OpenAI, Google Gemini, etc.)

- Strong knowledge of RAG architecture, prompt engineering, and agent workflows

- Experience with LangChain, LlamaIndex or similar frameworks

- Experience with Vector DB (pgvector/PostgreSQL) and MongoDB

- Experience with Docker, Kubernetes (GKE), CI/CD

- Experience with Microsoft 365 integrations (Teams, Outlook, SharePoint, Graph API)

- Strong system design and architecture skills

- Good communication skills

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

Looking for a Senior and Middle LLM engineers (ASAP)

Location: any

Start: ASAP

Duration: long-term (around 6 months)

Engagement: Full-time

English: B2+

Key Responsibilities:

We are looking for someone who can contribute further to our AgenticAI platform for construction. We need an LLM engineer who understands the following:

Design and implement deterministic workflows that ensure consistent, reliable outputs from LLMs

Solve fundamental challenges like making LLMs perform accurate mathematical operations (e.g., ensuring 1+1=2 consistently)

Build robust evaluation frameworks to measure and guarantee deterministic behaviorImplement comprehensive guardrails leveraging structured output and Pydantic models for input/output validation

Understanding of training dynamics, loss functions, and optimization strategies

Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.)

Proficient in implementing and managing tool calling mechanisms

Deep understanding of Model Context Protocol (MCP) architecture and implementation

Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets, and API lifecycle management;

Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis), and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search

Location: Remote (Poland / EU)
Duration: Contract until end of year (with potential extension)

We are looking for a Senior Backend Engineer (Golang) with a strong interest or experience in AI and Large Language Models (LLMs) to join a high-impact project. You will play a key role in designing, building, and optimizing backend services that integrate modern AI capabilities.

This is a senior-level position requiring autonomy, ownership, and the ability to contribute to architectural decisions while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Golang
• Build and optimize RESTful APIs for high-performance applications
• Collaborate on system architecture and technical design decisions
• Integrate and work with AI/LLM-based solutions and agents
• Ensure code quality, performance, and reliability

• Work independently with minimal onboarding while aligning with broader project goals

   

  Must-Have Requirements

• Strong proficiency in Golang as a primary programming language
• Extensive experience building and maintaining REST APIs
• Hands-on experience with databases such as PostgreSQL, SAP HANA, or similar
• General understanding of AI concepts, especially Large Language Models (LLMs) and AI agents
• Ability to work independently at a senior level
• Nice-to-Have Skills
• Experience with OpenTelemetry (observability, tracing)

• Familiarity with performance and load testing tools (e.g., Locust)

   

  What We’re Looking For

• A senior engineer who can own features end-to-end
• Someone comfortable with high-level architectural discussions
• Ability to collaborate without needing constant direction
• Strong problem-solving mindset and focus on scalable solutions
• Language Requirements
• Professional proficiency in English
• If you're a backend expert with Golang and an interest in AI/LLMs, this is a great opportunity to work on cutting-edge solutions in a flexible, remote environment.

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).
• Headset and webcam for regular video calls.
   

If you are interested in this opportunity, we encourage you to apply now.

About the Role We are looking for a Middle AI/ML Engineer to join our AI team and contribute to the development of advanced machine learning models. You will be involved in building and optimizing AI models, ensuring scalability and efficiency in processing multilingual content and computer vision tasks.

Responsibilities

• Develop and optimize machine learning models for computer vision and AI translation.
• Assist in data preprocessing, labeling, and pipeline automation.
• Implement and deploy ML models in production environments.
• Monitor model performance and conduct regular fine-tuning.
• Work closely with senior engineers to improve AI workflows and deployment strategies.
• Document development progress and technical implementations.

Requirements

• 2+ years of experience in Machine Learning and Computer Vision.
• Strong programming skills in Python, PyTorch, and Weights & Biases.
• Familiarity with ML pipeline development and model deployment.
• Basic experience with databases (MongoDB, PostgreSQL) and messaging queues (Kafka).
• Knowledge of AWS cloud infrastructure is a plus.
• Ability to work independently within defined project scopes.

About the Role As a Senior AI/ML Engineer, you will lead the development and optimization of cutting-edge machine learning models, with a focus on computer vision and multilingual AI applications. Your expertise will be crucial in developing scalable, high-performance solutions that deliver instantaneous AI translations and content generation.

Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines.
• Optimize and fine-tune computer vision models (e.g., OCR, object detection, video analysis, segmentation).
• Manage data labeling, curation, and preprocessing to ensure high-quality datasets.
• Deploy and maintain ML models in a production environment with real-time monitoring.
• Improve system performance through continuous feedback loops and A/B testing.
• Collaborate with software engineers, data scientists, and product teams to align AI innovations with business objectives.
• Mentor and guide junior engineers in best practices for ML development.

Requirements

• 5+ years of experience in Machine Learning and Computer Vision.
• Strong knowledge of Python, PyTorch, Weights & Biases, and Label-Studio.
• Proficiency in ML pipeline development, training and deployment of models.
• Experience working with databases (MongoDB, PostgreSQL, Elasticsearch) and messaging queues (Apache Kafka).
• Expertise in AWS cloud infrastructure and monitoring tools (ELK, Prometheus, Grafana).
• Ability to independently lead projects and make technical decisions.

Location: any
Start: ASAP
Duration: long-term (around 6 months)
Engagement: Full-time
English: B2+

Key Responsibilities 
We are looking for someone who can contribute further to our Agentic AI platform for construction, need an LLM engineer who understands the following:
 

• Design and implement deterministic workflows that ensure consistent, reliable outputs from LLMs
• Solve fundamental challenges like making LLMs perform accurate mathematical operations (e.g., ensuring 1+1=2 consistently)
• Build robust evaluation frameworks to measure and guarantee deterministic behavior
• Implement comprehensive guardrails leveraging structured output and Pydantic models for input/output validation
• Understanding of training dynamics, loss functions, and optimization strategies
• Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.)
• Proficient in implementing and managing tool calling mechanisms
• Deep understanding of Model Context Protocol (MCP) architecture and implementation
• Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;
• Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search

Our client is a fast-growing, innovation-driven company working at the forefront of robotics and AI. Their mission is to build advanced autonomous robotic systems capable of operating in real-world environments. They combine expertise in machine learning, computer vision, and robotics to solve complex problems in perception, manipulation, and task planning.

Their teams are composed of highly skilled engineers and researchers who thrive on tackling cutting-edge challenges, engaging in deep technical discussions, and building systems that move from research to real-world production. They value independence, technical excellence, and the ability to deliver in fast-paced, experimental environments.

About the Role:

We are seeking a Principal Robotics AI Engineer for our client. In this role, you will lead the technical development of AI-based robotic systems with a strong focus on dexterous manipulation, perception, and task planning.

You will play a key role in designing and improving data pipelines, working with egocentric datasets, and applying modern AI approaches such as VLA, RL, and VLMs to real-world robotics problems. This is a highly impactful role where you will help shape both the AI systems and the underlying data infrastructure that powers them.

Responsibilities:

• Lead the development of AI-driven autonomous robotic systems with a focus on dexterous manipulation and task planning;
• Build and maintain egocentric data pipelines, including data collection, annotation, and quality assurance at scale;
• Apply VLA, reinforcement learning, and VLM-based approaches to manipulation tasks in industrial, retail, and household environments;
• Collaborate with robotics labs to understand data and pipeline requirements and deliver high-quality training datasets;
• Contribute to perception and machine learning systems deployed on physical robots operating in complex real-world environments;
• Help define and guide the technical direction of AI tooling and data infrastructure;
• Drive technical decisions and work independently to deliver production-ready solutions.

Requirements:

• 5+ years of hands-on experience in robotics AI, ideally at companies or labs such as Boston Dynamics, Figure, Tesla Optimus, Apptronik, or similar;
• Strong expertise in perception and ML systems for autonomous robots, including computer vision, 2D/3D scene understanding, object detection, and manipulation;
• Experience with VLA models, reinforcement learning, and VLM-based task planning in real-world deployments;
• Deep understanding of egocentric video data and how manipulation datasets are structured for robot learning;
• Proven ability to lead technical work independently and deliver in production environments;
• Strong problem-solving skills and ability to work in fast-paced, cutting-edge environments;
• PhD or equivalent industry experience in ML, robotics, computer vision, or a related field.

Nice to Have:

• Experience with ROS or similar robotics middleware;
• Background in remote sensing, GIS, or multi-modal data systems;
• Familiarity with synthetic data generation or sim-to-real transfer;
• Experience with DARPA, government research programs, or applied AI research labs.

We Offer:

• Competitive market salary
• Fully remote work
• Convenient and somewhat flexible working hours
• 28 days of paid time off per calendar year
• The chance to work on meaningful, socially valuable products alongside a highly professional, international team
• Interesting technical challenges with opportunities to grow and learn

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

We are looking for a creative and technically skilled AI Content Maker to join our team. In this role, you will use generative AI tools to create visual content and help automate content production pipelines. You will work with modern AI technologies to generate images and videos, maintain character consistency, and support both product and marketing needs.

Responsibilities

• Create NSFW visual content (images and video) for the platform using ComfyUI
• Build and maintain ComfyUI generation pipelines
• Work with LoRA models and set up generation workflows
• Maintain high quality and visual consistency of characters
• Generate content in both realistic and anime styles
• Create visual assets for platform content, marketing materials, social media, and landing pages
• Support automation of content generation pipelines
• Integrate and work with AI APIs (LLMs, image and video generation tools)
• Rapidly produce content for campaigns and platform needs
• Collaborate closely with product, marketing, and engineering teams

Requirements

• Strong ComfyUI skills
• Experience with Stable Diffusion and AI video generation models
• Experience working with LoRA models
• Understanding of AI-based content generation pipelines
• Understanding of NSFW content production specifics
• Ability to rapidly prototype and iterate on creative ideas
• Familiarity with open-source AI tools and workflows
• Portfolio or examples of previous work
• Willingness to complete a test assignment

Nice to Have

• Experience integrating LLM APIs
• Experience building automated AI workflows
• Understanding of AI agents or multimodal pipelines
• Knowledge of marketing funnels and content performance

What we offer

• Remote work or comfortable offices in Kyiv (Podil)
• Flexible working hours
• Medical insurance (after probation) and online doctor services
• 20 paid vacation days, unlimited sick leave
• Equipment, learning budget, internal lectures
• Sports activities and gym discounts

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for engineer to implement the AI architecture, including RAG pipelines, agent systems, tool-calling mechanisms (MCP-style architectures), model evaluation, and guardrails.
This role requires real production GenAI experience, not experimentation.

Job Description

4+ years software engineering experience

2+ years hands-on ML / AI engineering experience

Strong Python (mandatory)

Proven production experience with LLM systems

Deep understanding of:

- RAG architecture

- Embeddings

- Chunking strategies

- Retrieval optimization

Experience with AWS Bedrock

Experience designing tool-calling LLM systems (MCP or equivalent architecture)

Experience integrating external APIs as agent tools

Experience building REST services (FastAPI or similar)

Experience with vector databases (OpenSearch, Pinecone, etc.)

Experience implementing evaluation frameworks for LLM quality

Experience mitigating hallucinations and prompt instability

Strong understanding of:

- Token economics

- Context window constraints

- Cost-performance tradeoffs

Experience integrating with GitHub and JIRA APIs

Production experience beyond notebooks or PoCs

Job Responsibilities:

Implement RAG pipelines on AWS Bedrock

Implement knowledge ingestion pipelines (JIRA, GitHub, Confluence, S3)

Define chunking, embedding, and retrieval strategies

Implement vector storage and retrieval architecture

Architect tool-calling agent systems (MCP or equivalent)

Define when to use:

- Direct API invocation

- Lambda-based tools

- MCP-based tool integration

- Design and implement structured output agents

Implement hallucination mitigation strategies

Build evaluation pipelines for model quality and regression testing

Optimize token usage and latency

Implement guardrails and structured validation

Work closely with DevOps to productionize AI services

Job Description

We are looking for a specialized Machine Learning Engineer to build an end-to-end Automated Document Comparison & Compliance System. In this role, you will develop a pipeline that ingests complex regulatory documents, identifies critical entities, and detects semantic changes between versions. You will bridge the gap between unstructured documents (PDFs, scans) and structured, actionable insights for regulatory teams.

• Core Language: Expert-level proficiency in Python.
• NLP Frameworks: Strong experience with spaCy, Hugging Face Transformers, and NLTK.
• Document Intelligence: Hands-on experience with OCR tools and LayoutLM (or similar document understanding models).
• Computer Vision: Familiarity with OpenCV or similar libraries for image processing and symbol detection.
• Embeddings: Deep understanding of vector databases and semantic search techniques.
• General ML: Proficiency with PyTorch or TensorFlow.

Nice-to-Have

• Experience working with highly regulated documents (Medical, Legal, or Financial).
• Experience extracting data from complex tables within PDFs.

Job Responsibilities

1. Intelligent Document Processing (OCR & Layout Analysis)

Pipeline Building: Develop pipelines to convert scanned and digital documents into machine-readable formats using OCR tools (e.g., Tesseract, AWS Textract, or Azure Form Recognizer).

Segmentation: Implement logic to segment documents into structural blocks: headers, paragraphs, tables, and images to normalize the structure for comparison.

2. NLP & Entity Recognition (NER)

Custom NER Models: Train and fine-tune Named Entity Recognition (NER) models to extract domain-specific entities such as device names, dosages, warnings, and regulatory standards.

Data Structuring: Map extracted entities to predefined categories to enable "focused comparison" of medically/legally relevant content rather than just simple text matching.

3. Semantic Analysis & Change Detection

Embeddings & Alignment: Use Semantic Embeddings (e.g., BERT, RoBERTa, Sentence Transformers) to align text blocks across different document versions, even when content has moved.

Granular Diffing: Create algorithms to detect "Modified," "Added," or "Removed" content at the sentence/phrase level, ensuring high traceability for audit logs.

4. Computer Vision (Image & Symbol Analysis)

Visual Comparison: Build Computer Vision modules to extract and compare non-text elements like figures, diagrams, and regulatory symbols.

Compliance Checks: Automate the detection of changes in pictograms or visual warnings to ensure visual compliance.

5. Output Generation

Work with backend teams to convert ML findings into structured comparison tables and narrative summaries for export to Excel/Word/PDF.

Department/Project Description

The Client is one of the leaders in medical science for more than 40 years, who committed to solving the challenges that matter most – united by a deep caring for human life. The mission is to advance science for life and transform lives through innovative medical solutions that improve patient lives, create value for end-users, and support the employees and the communities in which the Client operates.

So, choosing a career with our team isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

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

About Sprinterra
Sprinterra is a technology and consulting company delivering custom software solutions and digital transformation initiatives for clients in the US and Europe. We combine strong engineering practices, Agile delivery, and business-oriented thinking. A key focus for Sprinterra is the adoption of AI-driven solutions - both internally and in client projects - to significantly increase efficiency, quality, and scalability.

Role Overview
We are looking for a senior executive technology leader who will own and drive Sprinterra's overall Technology and AI vision at the company level. This role carries full responsibility for defining, implementing, and scaling our AI-first transformation strategy across internal operations, delivery models, and client solutions.

The primary objective is to reposition Sprinterra as an AI-enabled organization by systematically transitioning from traditional manual processes to AI Agents, intelligent automation, and augmented engineering workflows.

This role operates at the executive level in close partnership with the Management Board, contributing to company-wide strategic decisions, investment priorities, capability development, and long-term technology positioning.

The Technology & AI Strategy Lead combines strategic leadership with architectural oversight and hands-on technical credibility. In addition to setting direction, this leader ensures execution, guiding teams, shaping complex solution architectures, supporting pre-sales initiatives, mentoring senior engineers, and acting as the ultimate technical authority within the organization.

Why join Sprinterra?
This is a rare opportunity to define and implement an AI-first transformation from the ground up. You will shape how a growing international technology company evolves its delivery model, internal operations, and client solutions through AI Agents and intelligent automation.

As Technology & AI Strategy Lead, you will operate as a key executive partner to the Management Board, directly influencing company strategy, investment priorities, and long-term market positioning.

Your decisions will shape:

• How we work
• What we build
• How we compete
• How we scale

Key Responsibilities
AI & Technology Strategy

• Define, own, and continuously evolve Sprinterra's overall Technology and AI strategy at the company level
• Identify and prioritize strategic opportunities to transition from traditional delivery models to AI Agents, LLM-driven workflows, and intelligent automation
• Establish and govern a long-term AI transformation roadmap fully aligned with business objectives, growth targets, and market positioning
• Advise and report to the Management Board on technology vision, investment priorities, progress, risks, and measurable outcomes
• Lead company-wide adoption of AI tools, frameworks, and engineering standards
• Drive organizational evolution toward AI-augmented delivery models and next-generation engineering practices
• Define and enforce standards, governance models, and best practices for responsible, secure, and scalable AI implementation
• Ensure all AI initiatives meet enterprise-grade expectations in quality, security, compliance, and ethical responsibility

Hands-on Engineering & Architecture

• Provide executive-level technical oversight and intervene hands-on in strategically critical or high-complexity projects when required
• Define architectural principles and review system and AI architectures across the organization
• Ensure solutions are scalable, secure, maintainable, and aligned with long-term technology strategy
• Act as the ultimate technical authority and escalation point for complex architectural or engineering challenges

Pre-Sales & Technical Sales

• Lead and shape technical pre-sales strategy in collaboration with Sales and Delivery leadership
• Define high-level system architectures and AI-driven solution approaches for strategic client proposals
• Serve as a trusted executive-level technical advisor in client meetings, workshops, and negotiations
• Translate complex business challenges into differentiated, AI-enabled technology solutions that strengthen Sprinterra's market position

Required Skills & Experience

• 10+ years of progressive experience in software engineering, system architecture, and technology leadership
• Proven track record of defining and executing company-level technology and AI strategies
• Strong practical experience with AI/ML, LLMs, AI Agents, and intelligent automation in production environments
• Demonstrated ability to lead large-scale technology transformations, not just individual projects
• Hands-on technical background with the ability to dive deep when strategically necessary
• Experience aligning technology initiatives with business strategy, growth objectives, and market positioning
• Executive-level communication skills, with the ability to influence board members, senior stakeholders, and clients
• Experience leading technical pre-sales, shaping solution strategy, and representing technology at the executive client level
• Strategic leader with full ownership mindset and accountability for outcomes
• Capable of balancing long-term vision with disciplined execution
• Confident decision-maker comfortable operating with ambiguity and high impact
• Influential communicator able to align leadership, engineering, and business teams
• Drives change rather than maintaining status quo
• Trusted advisor to executive leadership and key clients