Jobs ML / AI Engineer

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

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

S&F AI Automation started as an internal R&D team, using AI to solve our own company's business problems. After building real expertise and a portfolio of delivered projects, we're now turning this into a practice that helps other businesses level-up their operations with AI.

We are a team of AI geeks who see our work as a way to express creativity. We are looking for someone who shares this obsession and will raise the bar: challenge our architecture decisions, bring tools and techniques we haven't tried, and help us turn prospects into projects we will enjoy engineering.

You'll join a small team at the stage where everything you do has outsized impact. This role brings senior-level engineering capacity to the team while also adding the presales muscle needed to grow the client base.

Technical requirements

• TypeScript (Node.js) OR Python — production-level proficiency in at least one.
• Building LLM-powered applications: agents, assistants, multi-step workflows, structured outputs. Prompt engineering: function calling / tool use, chain-of-thought. RAG: document ingestion, chunking, embedding models, relevance tuning. LLM SDKs: Anthropic Claude, OpenAI. Frameworks: LangChain, LangGraph. Building and integrating MCP (Model Context Protocol) servers.
• Agentic architecture: agent loops, tool orchestration, memory management, multi-agent systems. Knowing when agents are justified vs simpler alternatives.
• Workflow orchestration: Temporal (readiness to build durable workflows), n8n (low-code automation). Vector search: Qdrant, AWS OpenSearch, embedding pipelines, hybrid search.
• API & backend: FastAPI OR Fastify / NestJS. REST APIs, webhook integrations.
• AWS: Bedrock, SageMaker, Lambda, OpenSearch. Cloud ecosystems: AWS (Anthropic), Azure (OpenAI), GCP (Gemini) — platform-exclusive models and services. Docker, IaC basics, VPS provisioning, serverless patterns.
• Zero Data Retention policies, data isolation, private cloud deployments. LLM safety: guardrails, hallucination mitigation, prompt injection protection. Ability to articulate security posture to enterprise clients.
• LLM cost optimization: token budgeting, semantic caching, model routing, fallback strategies, choosing the right model tier.
• Active use of AI coding tools: Cursor, Claude Code, GitHub Copilot, or similar.
• Nice-to-have: Voice AI (STT/TTS), multimodal AI (OCR, vision-language models), LLM evaluation frameworks.

Who you are

You have 3+ years of experience in a technical presales, solutions engineering, or solutions architect role. You have led discovery calls, scoped proofs of concept, and handled technical objections in B2B sales cycles.

You have hands-on experience building AI-powered applications in a professional setting, not just personal experimentation.

Your English is fluent at C1+ level. You can lead live calls with English-speaking stakeholders and handle nuanced technical questions without hesitation.

You communicate consultatively. You guide stakeholders to clarity instead of overwhelming them with options. You can easily explain a complex concept to a non-technical audience.

You take ownership and initiative. You do not need a heavy playbook. You identify gaps, flag risks early, and move things forward. Much of the presale process is still being built, and you are comfortable shaping it as you go.

You are adaptable. You are comfortable in a small team where priorities shift, and where the role will evolve as the practice grows.

What the work looks like

Provide technical depth during presales.
You join prospect calls alongside the department head and own the technical side of the conversation.You probe for technical constraints, assess feasibility in real time, identify integration points or data dependencies, and start forming an architecture before the call ends.

Design AI solutions that match the actual problem.
You translate business context into an architecture with realistic scope and effort estimates. You know when prompt engineering is enough, when RAG is needed, when fine tuning or custom development is justified, and you can explain why.

Connect AI to the tools businesses already use.
You design integrations that make AI solutions practical: pulling data from CRMs or ERPs, syncing with cloud drives or email, pushing outputs into Slack channels or project management tools. You think in terms of end to end workflows, not standalone modules.

Contribute to building, not just sales.
Between engagements, you write production code, guide architecture decisions, and help the team ship client and internal projects. This role carries engineering weight, not just advisory influence.

Outcomes over the next 6–12 months

Strengthen the team’s engineering capability
Provide architectural guidance on client or internal projects so solutions are more reliable and scalable than what would have been built without your input.

Ramp up as a presales partner within 30 days
Independently lead the technical portion of prospect calls by the end of month one. The department head should be confident you ask strong discovery questions, communicate clearly, and propose relevant approaches without heavy coaching or supervision.

Help close the first $80k in new revenue
Participate in presales engagements that result in at least $80k in signed project value within the first six months. This includes Discovery Sprints and follow-on projects that come from them.

About Speed & Function

Speed & Function is a software development company focused on long-term partnerships, not transactional outsourcing. Since 2006, we’ve been building digital products and teams with a strong emphasis on trust, ownership, and collaboration. We evolve our processes as real-world complexity demands.

How to apply

Apply with a short cover letter that includes why you’re considering a new opportunity, your hourly rate, your English level, your availability, and your location.

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

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams. 

We are seeking an AI Leader with a holistic understanding of modern AI technologies - including classical machine learning, deep learning, and especially the latest advancements in generative AI. This role requires not only deep technical literacy but also the ability to guide teams, mentor talent, and foster a high-performing, collaborative AI organization. As a people-first leader, this individual will inspire and develop multidisciplinary teams, influence stakeholders, and ensure alignment between technical execution and business goals. The role may involve spending up to 70% of the time on non-technical activities such as stakeholder engagement, cross-functional leadership, and supporting business development or sales initiatives.

Responsibilities:

• Develop, mentor, and empower multidisciplinary AI teams, including data scientists, engineers, and product managers—by setting clear expectations, providing coaching, and cultivating a collaborative, high-performing culture.
• Drive talent strategy for the AI organization, including hiring, onboarding, performance management, and building a diverse and inclusive team with strong technical and interpersonal skills.
• Design and oversee end-to-end AI system architectures, ensuring seamless integration of machine learning models, data pipelines, and infrastructure while guiding teams toward scalable, high-quality solutions.
• Champion innovation by staying current with cutting-edge AI research, emerging technologies, and experimental techniques, and by encouraging continuous learning across the organization.
• Represent the AI function in customer-facing and executive-level engagements, delivering technical presentations, leading discussions, addressing complex inquiries, and clearly articulating AI value propositions and solution feasibility.

Requirements:

• 10+ years of experience delivering customer-facing AI solutions, including 5+ years in a leadership or equivalent strategic role guiding teams and driving end-to-end AI initiatives.
• Deep technical expertise across AI models, algorithms, and tooling, with strong proficiency in at least one major cloud provider’s AI/ML ecosystem (AWS, GCP, or Azure).
• Proven ability to work cross-functionally with product, engineering, sales, and executive stakeholders to translate complex, cloud-based AI capabilities into clear, high-impact business outcomes.
• Demonstrated commitment to continuous learning, maintaining up-to-date knowledge of emerging cloud AI services, machine learning infrastructure advancements, and evolving industry best practices.
• Exceptional communication, leadership, and people-management skills, with a track record of hiring, developing, and enabling high-performing AI teams.
• Excellent command of English, enabling effective and fluent communication
• Tax residence in Ukraine and fluency in Ukrainian is required

Meet the YozmaTech

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

We are now launching our next growth engine — AI-powered, automated, and data-driven.

This role is not about coordination. We are looking for a builder who will own and develop our end-to-end Outreach & GTM Engine.

Key Requirements:
🔹 2+ years of experience in SDR, Growth, RevOps, GTM, or Marketing roles;
🔹 Strong hands-on CRM experience (HubSpot / Monday — customization and workflow building);
🔹 Experience with automation tools (n8n, Zapier, Make, Clay, etc.);
🔹 Experience working with LLM workflows and AI tools (ChatGPT, Claude Code, etc.);
🔹 Builder mindset — able to ship fast;
🔹 High ownership and accountability;
🔹 Strong analytical thinking;
🔹 Clear communication skills;
🔹 Comfortable in a fast-paced scale-up environment;
🔹 Systems thinker, not just a task executor;
🔹 English — Upper-Intermediate or higher;
🔹 Experience in the tech outsourcing / R&D services industry;

Will be plus:
🔹 Experience building GTM systems from 0 → 1;

What you will do:
🔹 Build and optimize outbound and SDR automation systems;
🔹 Architect end-to-end CRM and GTM workflows (HubSpot / Monday);
🔹 Design and deploy AI agents for research, personalization, and qualification;
🔹 Improve funnel conversion rates and pipeline predictability;
🔹 Align GTM insights with Recruiting teams;
🔹 Drive measurable impact: more qualified meetings, lower cost per meeting, predictable pipeline growth;

Interview stages:
🔹 HR-interview;
🔹 Tech interview;
🔹 References;
🔹 Offer;

Why Join Us?
At YozmaTech, we know that great companies are built by the people who create the environment where teams can truly thrive.
We’re a global company expanding across multiple markets, and our internal teams play a key role in shaping how we grow, collaborate, and support both our clients and developers.
Here, your ideas matter. We encourage initiative, experimentation, and ownership. If you see a better way to do something — we want you to build it.
You’ll work closely with leadership, influence real decisions, and help develop new directions for the company.

From day one, you’ll get:
🔹 The opportunity to launch initiatives and shape internal processes
🔹 A collaborative international team that values ownership and trust
🔹 Exposure to global markets, startups, and innovative tech companies
🔹 Space to grow your role and take on new responsibilities as the company evolves

After You Apply
Our hiring process is clear and respectful.
You’ll always know who you’re meeting, what the role involves, and how you can contribute to the company’s growth.

Everyone’s Welcome
We believe diverse teams build stronger companies.
At YozmaTech, we create an environment where different perspectives are valued and everyone can grow.

Ready to grow with us?
Let’s talk.
Your next chapter at YozmaTech could start here.

We are looking for a Machine Learning Engineer with a focus on Natural Language Processing (NLP) and Automatic Speech Recognition (ASR).

This role is ideal for someone with solid ML fundamentals who has hands-on experience with real-world data and is interested in working with text and speech-based systems.

Requirements:

— 2–4+ years of experience.
— Strong understanding of how models perform and behave in production environments.
— Experience with GPU-based training is a strong plus.
— Python: Strong proficiency.
— Data Science Stack: Hands-on experience with NumPy, Pandas, and scikit-learn.
— DL Frameworks: Experience with PyTorch (preferred) or TensorFlow.
— English level: Upper-Intermediate or higher.

ML & Mathematics:
— Solid understanding of linear algebra, probability, and statistics.
— Practical knowledge of classic algorithms (regression, classification, clustering).
— Deep understanding of performance metrics (Accuracy, Precision, Recall, F1) and the Bias-Variance tradeoff.

NLP:
Experience with:
— Tokenization, lemmatization
— TF-IDF, Bag of Words, n-grams
Understanding of Transformers architecture
Experience with:
— Hugging Face Transformers
Practical experience with:
— Text classification
— Named Entity Recognition (NER)
— Fine-tuning pre-trained models.

ASR (Automatic Speech Recognition):
Understanding of:
— Spectrograms
— MFCC
Experience with audio processing:
— librosa, torchaudio
Familiarity with:
— CTC (Connectionist Temporal Classification)
— Seq2Seq + Attention
— Wav2Vec 2.0
— WhisperX
Practical experience with:
— Speech-to-text pipelines;
— Audio preprocessing and cleaning;
— Data augmentation (noise, speed, etc.)
Familiarity with metrics:
— WER (Word Error Rate)
— PER (Phoneme Error Rate).

Nice to have:
— Production deployment.
— Working with noisy data.

We offer:
— Interesting tasks and projects.
— Competitive salary.
— Remote work.
— Annual paid vacation: 20 days.
— Paid sick leaves: 10 days.

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.

• Proactively identify high-impact opportunities where AI can generate measurable business value.

   

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

What you will do:

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.
• Proactively identify high-impact opportunities where AI can generate measurable business value.

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.