Jobs ML / AI

AI Tools & Development Workflow Advisor

Remote · Consulting or Full-time

We are looking for a senior specialist who deeply understands the modern AI development ecosystem and has hands-on experience applying AI tools in real commercial software projects.

This role is not about experimenting with new tools in isolation. We are looking for someone who knows how to use AI effectively in production environments, understands where these tools actually help, and where they introduce risks, limitations, or inefficiencies.

The goal of this role is to help our engineering team build faster, smarter, and more safely using modern AI-assisted development workflows.

What we need

We are looking for someone who:

• Has real production experience using AI tools in commercial software development
• Understands the limitations, risks, and failure modes of AI-assisted development
• Knows how to design practical workflows, not just experiment with tools
• Can help teams use AI responsibly and effectively
• Can balance speed, code quality, and maintainability

Responsibilities

• Review and assess our current development workflows
• Identify where AI tools can meaningfully improve productivity
• Design practical AI-assisted development workflows
• Help implement safe usage patterns for AI tools
• Define internal best practices and standards
• Train and mentor engineers on effective AI usage
• Help choose the right tooling stack for our team

Required experience

• Strong background in software engineering
• Experience working on commercial software products
• Practical experience using AI development tools in production environments
• Understanding of software architecture and engineering trade-offs

Relevant tool ecosystem (examples)

Experience with some of the following:

AI coding tools

• GitHub Copilot
• Claude / GPT development workflows

Developer productivity tools

• AI code review tools
• AI-assisted debugging
• automated documentation generation
• prompt-based development workflows

AI engineering workflows

• agent-based development flows
• structured prompting for development tasks
• AI-assisted refactoring and migration

What is important for us

We value people who:

• Think practically, not just theoretically
• Understand when AI tools should NOT be used
• Care about long-term maintainability
• Can help teams build reliable engineering processes

Engagement format

Flexible:

• Consulting engagement
• Technical advisor
• Part-time
• Full-time

About the project

We are building a complex B2B SaaS platform used to manage configuration, pricing, quoting, and sales workflows for customizable products.

Our goal is to build a high-performance engineering team that effectively leverages modern AI development tools while maintaining production-grade quality.

Important Requirement: Applications without at least 2 years of hands-on experience with BOTH UChat and Zoho CRM will not be considered.

About the Role

We are seeking a skilled Automation & AI Bots Specialist to design, build, and manage intelligent automation workflows and AI-powered chatbots that improve operational efficiency and support multiple client projects.

This role focuses on building NLP-based conversational bots, integrating them with Zoho CRM, and creating scalable automation workflows using platforms such as UChat, Zapier, or Make.

This is a part-time role (~20 hours per week) with the potential to expand into a full-time position based on performance and business needs.

Key Responsibilities

• Design and deploy AI-powered chatbots using UChat
• Build automation workflows using Zapier, Make, or similar tools
• Integrate chatbots with Zoho CRM and other business systems
• Configure and maintain API integrations, webhooks, and multi-system connections
• Develop NLP-based conversational flows for customer interaction
• Implement chatbot solutions for multiple client projects
• Optimize chatbot performance through testing and iteration
• Create clear documentation for automation workflows and chatbot logic
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
   

Required Qualifications

• Minimum 2 years of hands-on experience with UChat
• Minimum 2 years of experience implementing Zoho CRM
• 1–2+ years of experience in automation workflows, chatbot development, or system integrations
• Proven experience building AI-powered chatbots using NLP technologies
• Experience deploying chatbot solutions for multiple client projects
• Strong understanding of APIs, webhooks, and JSON structure
• Experience designing automation workflows and business process automation
• Proficiency in prompt engineering for AI tools (ChatGPT, Claude, etc.)
• Experience building GPT-powered chatbots or conversational agents
• Ability to design process flows, conditional logic, and automation scenarios
• Strong analytical and problem-solving mindset
• Good English communication skills
   

Preferred Qualifications

• Experience with Zapier, Make, or n8n
• Experience integrating WhatsApp, web chat, or Telegram bots
• Experience with conversational UX design
• Experience conducting A/B testing for chatbot responses
• Familiarity with logging, error tracking, and workflow monitoring tools
• Basic programming knowledge in JavaScript or Python
• Experience with Voice AI or automated call systems
   

What We Offer

• Flexible part-time schedule (~20 hours/week)
• Opportunity to work on cutting-edge AI automation projects
• Collaborative and growth-oriented work environment
• Potential for long-term collaboration

We are looking for a highly experienced Senior AI/ML Engineer to lead the creation of a next-generation real-time biometric estimation system for global sports broadcasts.

About the Project:
We are building a real-time, non-contact system to estimate athletes’ exertion for live sports broadcasts. Using high-speed video and computer vision, it predicts force metrics with 85%+ accuracy, replacing traditional sensors, with low-latency and robust performance under complex conditions.

Key Responsibilities:

Phase 0 – Pilot

• Design ML architecture for grip estimation
• Train initial model (force sensors + video data)
• Build training & data labeling pipeline
• Validate across diverse athlete profiles
• Achieve 75%+ correlation

Phase 1 – Demo

• Refine model using demo event data
• Implement 2-second per-athlete calibration
• Optimize for edge cases (skin tones, hand sizes)
• Achieve 80%+ correlation

Phase 2 – Production

• Improve accuracy toward 85%+
• Optimize inference to <40ms (P99)
• Implement advanced scoring features

• Production hardening & reliability improvements

   

Required Skills:

• 5+ years of experience in applied machine learning/deep learning
• Strong background in computer vision and image-based regression tasks
• Hands-on experience with PyTorch or TensorFlow for production systems
• Experience with real-time inference optimization (TensorRT, ONNX Runtime)
• Understanding of signal processing and temporal data analysis
• Experience training models on diverse datasets (handling bias, data augmentation)

• Proven track record achieving high-accuracy requirements (>80% on complex tasks)

   

  Strongly Preferred:

• Experience with biomechanical or physiological signal estimation
• Knowledge of optical/visual phenomena (skin blanching, perfusion, micro-tremors)
• Experience with few-shot learning or transfer learning approaches
• Background in sports analytics or human performance monitoring
• Experience with active learning for iterative model improvement

• Published research or patents in computer vision/ML domains

   

  Nice to Have:

• Experience with NIR (near-infrared) imaging or multi-spectral analysis
• Knowledge of pose estimation frameworks (MediaPipe, OpenPose)
• Experience with edge ML deployment on NVIDIA platforms
• Familiarity with time-series forecasting or sensor fusion

Soft Skills:

• Technical leadership: Ability to make critical architectural decisions under uncertainty
• Problem-solving: Creative approaches to novel ML challenges (no precedent for optical grip estimation)
• Communication: Clearly explain complex ML concepts to non-technical stakeholders
• Adaptability: Rapid iteration based on real-world performance feedback
• Ownership: Take full responsibility for model accuracy through systematic experimentation

About the Role

We are expanding our AI practice and are looking for a hands-on Lead AI Consultant who can step into real business contexts, understand how companies operate, and design practical AI Agent–based solutions that automate processes, reduce manual work, and improve efficiency.

We are looking for a consultant - someone who designs, builds, evaluates, explains, and delivers.

You will work across internal initiatives and client projects, collaborating directly with business stakeholders, department heads, and technical teams. 

Key Responsibilities

AI Agents & Automation

• Design and implement AI agents that act as technical/operational assistants (process execution, monitoring, decision support).
• Translate business problems into practical AI use cases using LLMs, APIs, and orchestration frameworks.

• Build end-to-end automation flows integrating AI agents with enterprise systems.

   

Business & Consulting Work

• Engage directly with business stakeholders and department heads to understand workflows, constraints, and priorities.
• Evaluate client businesses and map current IT and process landscapes.
• Propose realistic AI-driven improvements aligned with business goals, security requirements, and operational constraints.

• Support clients in adopting AI solutions, including explaining how systems work and how teams should interact with them.

   

Technical Design & Security

• Design AI solutions with a strong focus on security, compliance, and data protection, especially for enterprise and regulated environments.
• Work with APIs, system integrations, and data pipelines to ensure stable and scalable solutions.

• Make architectural decisions balancing speed, reliability, and long-term maintainability.

   

Research, R&D & Enablement

• Continuously research new approaches in LLMs, AI agents, orchestration frameworks, and automation tools.
• Participate in internal R&D initiatives and help shape internal best practices.
• Contribute to knowledge-sharing and educational activities (internal sessions, client workshops, presentations).

• Support product teams with AI expertise when needed.

   

Pre-Sales & Client Interaction

• Participate in pre-sales activities: technical discovery, solution design, estimations, and presentations.
• Help shape proposals and technical narratives for clients.

• Represent the company in client meetings as a trusted technical and business advisor.

   

Requirements

• Strong technical background (engineering, architecture, or senior technical consulting).
• Practical experience working with LLMs, APIs, and automation systems.
• Hands-on involvement in client-facing roles (consulting, solution delivery, pre-sales).
• Experience evaluating business processes and proposing technical solutions.
• Solid understanding of:
  • Generative AI & LLMs
  • AI Agents and orchestration concepts
  • APIs and system integrations
  • Business process automation
• Ability to quickly understand how a business operates and turn that understanding into working AI solutions.
• Strong communication skills - able to explain complex technical topics to non-technical audiences.
• Comfortable working in environments with rapid change and evolving requirements.
• Curious, pragmatic, and solution-oriented.

• Fluent English is required; additional languages (e.g., Arabic, Italian, German, French) are a plus.

   

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• MBA or equivalent business leadership training preferred.

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
 

This is the job

We are looking for an AI/ML Engineer to design, develop, and deliver a Proof-of-Concept (PoC) system that validates the use of Distributed Acoustic Sensing (DAS) and Automatic Identification System (AIS) data for detecting intrusions near subsea communication cables.

The solution will analyze acoustic signals from fiber-optic sensing systems together with vessel tracking data to identify potential threats to critical underwater infrastructure. The goal is to provide early warning capabilities, enabling timely intervention and protection of subsea assets.

This is you

• Strong experience in Machine Learning / AI development
• Strong programming skills in Python
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Experience working with time-series data or signal processing
• Experience building ML pipelines for data processing and model training
• Knowledge of anomaly detection and pattern recognition techniques
• Strong analytical and problem-solving skills
• Good communication skills and ability to work in a distributed team

This is your role

• Design and develop machine learning models for analyzing DAS acoustic signals and AIS vessel tracking data
• Build a PoC system for intrusion detection around subsea communication cables
• Develop data processing pipelines for large-scale sensor and geospatial data
• Implement algorithms for anomaly detection and event classification
• Integrate multi-source data (DAS + AIS) for improved detection accuracy
• Perform data exploration, feature engineering, and model evaluation

We’re hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by LLMs. This role is for someone who has already shipped agentic systems, can architect multi-step reasoning pipelines, and knows how to make RAG reliable through evaluation, while optimizing cost at scale and addressing real-world failure modes.

What you’ll be responsible for

• Building and operating autonomous AI agents in production
• Designing multi-step reasoning pipelines (planning, tool-use, orchestration)
• Implementing RAG systems end-to-end and setting up evaluation to measure and improve quality
• Driving LLM cost optimization at scale (model selection, routing, caching/batching strategies, usage controls)
• Identifying and mitigating failure modes in AI systems (hallucinations, retrieval issues, tool errors, cascading failures)
• Designing multi-agent coordination patterns (specialized agents, handoffs, routing, communication protocols)
• Delivering these systems as cloud-native services (scalable, observable, resilient)Requirements (must-have)
• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG + evaluation (testing, metrics, and iterative improvement)
• Experience optimizing LLM costs at scale
• Strong understanding of AI system failure modes and practical mitigation approaches
• Experience with multi-agent coordination
• Experience building cloud-native systems (reliability, monitoring, scalable deployment)

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.

And now we are looking for a ML Operations Engineer to join us as part of our team.

About the role:

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.

We are seeking an experienced and innovative engineer to expand and drive our Data Science and Machine Learning efforts in the EU and Ukraine.

Team setup: 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
• Design and deliver tasks end-to-end with little guidance from Senior team members
• 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.

• 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 commensurate experience)
• 3+ years of experience in hands-on development and deployment of Machine Learning algorithms and services
• 3+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 3+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 50% of:
  PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery, with practical understanding of containerization technologies such as Kubernetes and Docker
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools.
• Good problem-solving skills with a focus on innovation, efficiency, and scalability in a global context.
• 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.

   

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

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)

We are currently looking for an AI Pro Code Developer to join a project for our client. This is an outstaff position, where you will work closely with the client’s engineering teams to design and implement AI-powered solutions within a modern cloud environment.

In this role, you will take ownership of the technical architecture of AI solutions, work with Azure and Azure OpenAI, and provide hands-on development and DevOps expertise while ensuring enterprise-grade scalability, security, and reliability.

Key Responsibilities:

• Define and own the end-to-end technical architecture for AI solutions built on Azure, Azure OpenAI, and Data Lake platforms
• Ensure alignment with customer IT standards, security policies, compliance requirements, and cloud governance frameworks
• Lead DevOps strategy, including CI/CD pipelines, infrastructure as code, monitoring, and automation
• Provide hands-on technical guidance and development using .NET and Python
• Collaborate with customer engineering and IT teams to ensure solutions meet requirements for scalability, performance, and maintainability
• Support and guide local developers and full-stack engineers within the project team

Requirements:

• 3–5+ years of experience in software engineering, cloud development, or solution architecture
• Strong experience with Microsoft Azure cloud ecosystem
• Hands-on experience with Azure OpenAI and AI-enabled architectures
• Experience working with data platforms and Azure Data Lake
• Strong software engineering skills in .NET and Python
• Solid DevOps experience, including:
• CI/CD pipelines
• Infrastructure as Code (IaC)
• Monitoring and automation
• Experience designing secure, scalable, enterprise-grade solutions
• Understanding of enterprise security patterns, governance, and cloud standards
• Ability to collaborate effectively with customer engineering and IT teams
• English level: B2+

We Offer:

✔️ Full-remote work

🏝 18 vacation days per year

🎁 Birthday celebration present

🧑🏻‍💻 Learning and development opportunities

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.

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Required: 
We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration. 
A large part of the role involves:
diagnosing failures in agent workflows
designing evaluation metrics and KPIs
improving system prompts and agent behavior
running structured experiments and measuring impact
You won’t be working in isolation on research projects - you’ll be improving systems that real users depend on.

Project Overview:
You’ll work on improving production AI systems through evaluation, experimentation, and system design.

Requirements (Must-have):
1. Strong AI/ML fundamentals. You understand the theory behind what you build and can choose appropriate methods for a problem.
Examples:
evaluation metrics (precision/recall/F1/etc.)
ranking and recommendation concepts
embeddings and similarity
experimentation methodology
Not required:
academic publications
advanced theoretical math
large-scale model training experience
2. Evaluation-driven mindset You:
think in metrics and baselines
design experiments instead of guessing
measure system improvements quantitatively
debug failures methodically
This is the most important signal for the role.

3. Experience with LLM systems You’ve worked with:
prompt design
agent workflows
evaluation of LLM outputs
production LLM integrations
4. Ability to ship production systems You can:
turn ideas into working systems
iterate based on results
balance exploration with delivery
5. Programming ability. You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Responsibilities:
- AI evaluation and KPI design — ~30%
- Prompt and agent system design — ~30%
- ML systems (recommendation, optimization, etc.) — ~30%
- Engineering integration — ~10%
 

Nice to Have:
- Experience improving an AI system after deployment
- Recommendation systems or ranking experience
- Optimization or constraint-based systems
- Computer vision experience
- Experience building evaluation frameworks
- Golang experience
- Startup or small-team engineering experience
- This role may not be a fit if
- You are looking for a research focused role without production deployment
- You rely heavily on frameworks without understanding fundamentals
- You’re uncomfortable working with partially-defined problems
- You prefer narrow specialization over product ownership

Hiring Process:
- Intro call
- Technical discussion (focused on real experience)
- Offer
Start: ASAP
 

Duck Agency helps businesses automate their operations using nocode / lowocBasic Docker / cloud ddeploymentea and AI. We build agents and workflows for operational, marketing, and sales teams — tools that actually replace manual work, not just demos.

We're looking for an AI developer who can build agents that analyze data, generate reports, take actions (send messages, update systems, create documents), and automate repetitive processes that people currently do by hand.

What you'll do:

• Build AI agents that automate end-to-end business workflows
• Process and summarize large datasets (CSV, tables, DB exports)
• Integrate agents with APIs, CRMs, Google Sheets, Slack, Telegram, and other tools
• Identify manual processes and turn them into automated pipelines

Requirements:

• Real experience building AI agents (not just API calls — actual agent logic with tools, memory, actions)
• Comfortable with structured data: SQL, CSV, Pandas
• Prompt engineering, function calling, tool use — you know what these mean in practice
• Ukrainian, Russian, or English — any one is fine

Nice to have:

• n8n, Make, Airtable, or Monday.com experience
• RAG pipelines, vector databases

Everstake is the largest decentralized staking provider in Ukraine and a key player in the global Web3 infrastructure space. We’re scaling fast and exploring automation as a critical part of operational excellence.

We’re looking for an experienced n8n specialist with a strong technical background in process automation and integrations — including AI prompt engineering to help us build smarter, faster, and more scalable internal systems.

About the Role:

In this role, you will design, develop, and maintain n8n automation workflows that enhance business functions across the company. From optimizing internal processes to integrating AI-powered solutions, your work will directly impact how efficiently and effectively our teams operate.

What You’ll Do:

• Design and implement automation workflows using n8n;
• Build and maintain custom integrations via APIs;
• Work closely with internal teams to streamline repetitive processes;
• Develop effective AI prompts to integrate large language models (LLMs) into business operations;
• Monitor and maintain database connections and automation reliability.
   

 Requirements:

• 2+ years of experience in software development (JavaScript or Python preferred);
• Solid experience with API development and integrations;
• Practical knowledge of relational databases;
• Hands-on experience with n8n workflow automation;
• Experience crafting optimized AI/LLM prompts;
• Strong problem-solving skills and attention to detail;
• Proactive mindset and ability to work autonomously.
   

 Nice to Have:

• Previous work with automation platforms (e.g., Zapier, Make, Airflow);
• Understanding of SaaS tools and business workflows;
• Interest in Web3 and blockchain technologies.
   

 What We Offer:

• Remote-first work environment;
• Professional growth and development opportunities;
• Access to tools, learning budgets, and internal expertise;
• Opportunities to work on cutting-edge blockchain technology.

Role Summary
You will play the role of a semantic architect behind our AI‑powered Knowledge Graph supporting flavor and beverage innovation. This role is responsible for designing ontologies, SHACL validation frameworks, and YARRRML mapping rules that enable structured, high‑quality, machine‑interpretable R&D knowledge. Working closely with flavor scientists, product developers, data engineers, and AI teams, the Ontologist will translate complex scientific concepts into formal knowledge models, maintain consistent terminology and synonyms across domains, and ensure that all R&D data can be integrated, reasoned over, and leveraged for advanced discovery and formulation insights. This position is central to accelerating innovation, improving knowledge reuse, and enabling next‑generation intelligent tools for the R&D organization.

Key Responsibilities

1.Ontology Design & Semantic Modeling
Work with business stakeholders to identify and maintain a set of competency questions that the ontology must support.
Design, extend, and maintain ontologies covering ingredients, flavors, sensory attributes, formulations, human trials, regulatory concepts, and experimental processes.
Perform conceptual modeling with domain experts and translate concepts into formal RDF/OWL semantics.
2. SHACL Constraint and Validation Framework
Develop and maintain SHACL shapes to enforce data quality, structural validity, consistency rules, and business constraints across the Knowledge Graph.
Collaborate with data engineers to validate incoming data streams using SHACL rules and produce validation reports.
3. YARRRML & Semantic Mapping Design
Design and maintain YARRRML mapping rules to transform heterogeneous R&D datasets into RDF/Knowledge Graph structures.
Work with data engineering teams to operationalize RML/YARRRML pipelines within ingestion workflows.
4. Knowledge Graph Integration & Reasoning
Collaborate with the development team to integrate ontologies into reasoning engines, entity extraction workflows, and semantic search pipelines.
Support entity alignment, relationship modeling, and enrichment algorithms that drive flavor discovery.
5. Synonym, Terminology & Vocabulary Management
Build and maintain synonym dictionaries, alternative labels, multilingual terms, and context-specific vocabulary used by flavorists and product developers.
Ensure synonym management is consistently reflected across ontologies, SHACL shapes, and mapping rules.
Facilitate terminology alignment workshops with subject matter experts.
6. Governance, Versioning & Documentation
Establish and maintain ontology governance including version control, documentation, and change-management workflows.
Maintain high-quality documentation, competency questions, term definitions, and modeling rationales.
Required Qualification

Proven experience with RDF, RDFS, OWL, and SPARQL.
Hands-on work with ontology editors (e.g., Protégé, TopBraid Composer).
Strong understanding of SHACL, RML/YARRRML, or equivalent mapping frameworks.
Experience in semantic modeling and conceptual data design.
Experience in food science, chemistry, sensory science, or CPG R&D domains.

Preferred Qualifications

Degree in Knowledge Engineering, Information Science, Semantic Technologies, Computational Linguistics, or related fields.
Knowledge of industry ontologies or semantic standards (e.g., SKOS, SAREF, DOLCE, IOF).
Familiarity with graph databases (e.g., Neo4j, GraphDB, Stardog) and knowledge-graph architectures.

Hi! We're building a dedicated AI division — creating both internal tooling and customer-facing AI products. Startup energy, backed by our established 20+ year tech company. New York and Krakow hubs, horizontal structure, direct impact.

What You'll Do

- Build AI-powered tools for internal teams and external customers
- Work directly with LLMs: prompt engineering, evaluation, quality measurement
- Design multi-model solutions — choosing the right model for the right task
- Create APIs, frameworks, and infrastructure that make AI reliable in production
- Measure and improve AI output quality using evaluation frameworks and human feedback

 What We're Looking For

Must have:

- You understand how LLMs behave — not just how to call their APIs
 (You can explain why a model hallucinates and what to do about it)
- Hands-on experience with multiple model families
 (Claude, GPT, Gemini, DeepSeek, open-source — at least 2-3)
- You've measured AI output quality in production
 (Evaluation frameworks, LLM-as-judge, human validation — any approach counts)
- Prompt engineering as a craft, not a buzzword
 (You iterate, test, and know why your prompts work)
- Backend development experience (Python preferred, any language accepted)
- 2+ years professional software development

Signs you're a great fit:

- You know the difference between GPT-4o, Claude Sonnet, and Gemini Flash
 — and when to use which
- You've built something with AI that solves a real problem (not just a tutorial)
- You've improved AI output quality and can tell us how you measured it
 

Nice to have (we'll teach the rest):

- Experience building developer tools or frameworks
- Multi-agent systems (LangGraph, CrewAI, AutoGen)
- Knowledge of evaluation tooling (LangSmith, Ragas, DeepEval, custom solutions)
- Background in Java or high-performance systems

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

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Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.