Jobs ML / AI

Candidates should have hands-on experience building end-to-end Azure data and machine learning platforms, including most of the following:

Designing and operating ETL / ELT pipelines in Azure 
Experience with Azure Data Factory for orchestration 
Experience with Azure Databricks for large-scale data processing 
Experience using Azure Data Lake Storage as the core data platform 
Building data pipelines that feed machine learning model training 
Experience with Azure Machine Learning or equivalent ML training platforms 
Implementing feature engineering pipelines and dataset versioning 
Experience operationalizing models and integrating predictions into production systems 
Working with large datasets and high-throughput pipelines

AI / ML Pipeline Experience 
The candidate should have experience building systems where data pipelines directly support AI/ML workflows, including: 
Preparing training datasets from raw operational data 
Building repeatable model training pipelines 
Managing feature engineering workflows 
Supporting model retraining and lifecycle management 
Designing systems where trained models are consumed by applications or services 
Ensuring pipelines support scaling training workloads efficiently

We present an engaging opportunity to explore and work with various technologies beyond ChatGPT prompts. You’ll have the flexibility to transition between teams, enabling you to contribute to diverse projects, including complex LLM training pipelines, 3D generative AI, diffusion models, and multimodal edge ML.

Our team comprises experts in the foundational elements of next-generation AI systems, encompassing multimodal inference, generative reasoning, and robust training pipelines. We also maintain an in-house GPU cluster, providing resources for interacting, training, and experimenting with larger models for both professional projects and personal exploration.

Joining our team — means joining a knowledgeable group of researchers and engineers in an environment eager to stay at the forefront of AI innovation, a critical endeavor in today’s rapidly advancing AI landscape.

Requirements:
• Strong Python Experience (3 year +)
• Experience with building Generative AI projects
• Specialized experience with LLMs, LangChain, LangGraph, LangFuse, RAG, and related technologies
• Experience in building REST APIs, knowledge of Docker, relational & vector DBs
• At least upper intermediate written/spoken English
• Be able to visit the office at least 3 times a week

Would be a plus:
• Experience with building Voice-to-Voice AI Systems using LiveKit or similar frameworks
• Knowledge of existing yet fresh AI tools, AI marketplaces, etc.
• Knowledge of various machine learning methodologies, including classic machine learning, recommendation engines, natural language processing, computer vision, and beyond
• C/C++ knowledge
• Experience in edge ML

Key Responsibilities:
• Tackle tough problems and find creative ways to solve them
• Maintain and optimize the solution for maximum speed and flexibility
• Guide, tune, and train LLMs
• Write clean and reusable code
• Improve your skills and stay up-to-date with emerging technologies

What We Offer:
• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment (Latest MacBook Pro)
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

Hello! We’re looking for a motivated and tech-savvy Junior AI Specialist to join our team at Kevych Solutions. If you have some experience building AI-driven systems and want to level up by working on complex, real-world business challenges — from autonomous agents to sophisticated n8n workflows — this role is for you.

Key responsibilities:

1. Building and testing AI agents and conversational systems for lead research, client outreach, and pipeline management;
2. Designing and refining LLM interactions to improve conversation quality and task performance;
3. Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
4. Supporting data collection and processing to enable targeted outbound campaigns;
5. Collaborating with team members to improve AI-driven workflows and propose better strategies.

Requirements:

1. Up to 1 year of hands-on experience in AI implementation or workflow automation;
2. Experience working with LLM APIs (OpenAI, Claude, Gemini) and/or agent frameworks;
3. Experience with Python, JavaScript/TypeScript;
4. Familiarity with vector databases (FAISS, Pinecone, pgvector);
5. Basic understanding of AI cost optimization, latency, prompt engineering, and RAG pipelines;
6. Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
7. Strong problem-solving skills and the ability to independently conduct online research and experimentation;
8. Ability to work with semi-structured data (JSONs, CSVs);
9. Knowledge of REST APIs and backend integrations;
10. Experience with Git;
11. Upper-intermediate level of English (written and verbal);
12. A self-starter with a learning mindset — not afraid to test, iterate, and improve;

Good to know:

1. Understanding ML fundamentals;
2. Experience with Docker and cloud environments (AWS/GCP);
3. Experience working with multi-agent orchestrations.

Hiring Process:

1. HR interview (up to 45 minutes);
2. Test task;
3. Technical interview (up to 45 minutes);
4. Final interview (1 hour).

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

At PwC, we work together to help clients make informed decisions, operate efficiently, and shape the future. Join our consulting team specializing in Generative AI as an AI Engineer. Our Technology Advisory team drives innovative projects every day, guiding companies through major technological changes. Current projects include applying large language models and generative AI in finance and energy sectors, as well as improving internal efficiency and accelerating workflows with AI tools.

What You’ll Do:

• Design and develop AI solutions using Large Language Models (LLMs), including advanced techniques like Retrieval-Augmented Generation (RAG) and multi-agent systems.
• Turn ideas into working prototypes and lead Proof of Concept (PoC) projects from planning to delivery.
• Apply the latest AI research to real-world challenges in industries like finance and energy.
• Collaborate with diverse teams to identify new use cases and deliver impactful solutions.

What We’re Looking For:

• 4+ years in software development, with at least 2 year in AI systems (RAG or agent-based).
• Strong Python knowledge, familiarity with databases (especially vector databases), and understanding of AI ecosystems.
• Basic knowledge and use of multi-agent systems, guardrail solutions, and orchestration frameworks (e.g., LangGraph).
• Proactive, solution-oriented, and able to work independently as well as in a team.
• Upper-intermediate English proficiency.

What We Offer:

• Work with leading experts on innovative projects that matter.
• Rapid career growth and continuous learning opportunities.
• Flexible schedule, hybrid work options, and a supportive environment.
• Competitive salary, annual bonus, and benefits including private healthcare, wellness programs, and home office allowance.
• A vibrant community with team-building events and a modern office in a prime location.

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

Strong Backend Engineer + basic LLM experience

Position Summary 

The Generative AI Solutions Engineer is responsible for building AI-powered backend features and automation components using modern LLM APIs. The role requires strong backend engineering fundamentals in any mainstream programming language (Python, Node.js, PHP or similar), the ability to analyze requirement documents, convert them into technical structure, and deliver rapid proof-of-concept implementations. 

The work focuses on creating practical solutions, integrating external APIs, generating structured outputs, and developing reusable components that accelerate software development and reduce manual effort. 

This is not a research or academic AI position — it is a hands-on engineering role focused on real-world business and product needs. 

Key Responsibilities 

• Build backend services using Python or Node.js. 
• Integrate with LLM APIs (OpenAI, Claude, Mistral and so on). 
• Process requirement documents and extract structured information. 
• Generate module-level breakdowns and engineering estimations. 
• Create API or backend prototypes for high-level requirements. 
• Build helper scripts/tools that reduce repetitive engineering work. 

Required Technical Skills 

• Strong backend engineering skills (Python / Node.js / PHP or similar) 
• Experience building and consuming REST APIs 
• SQL basics and database design understanding 
• Ability to produce backend prototypes rapidly 
• Experience working with JSON and external APIs 
• Familiarity with LLM APIs (OpenAI, Claude, Mistral or similar) 

Nice-to-Have 

• LangChain or LlamaIndex experience. 
• Some prompt engineering experience. 
• Docker basics. 
• Internal developer tooling experience. 
• Ability to analyze incomplete requirements. 

Fit Profile 

Best fit for someone who: 

• likes real engineering more than research, 
• enjoys prototyping solutions, 
• understands system behavior and data flows, 
• can operate with limited documentation, 
• can deliver results within short timeframes. 

What this role is NOT 

• Not academic AI research 
• Not ML model training 
• Not data science 
• Not RPA automation 
• Not prompt-engineering-only 

Why the role is attractive 

• build working AI-first solutions 
• solve real customer challenges 
• high autonomy, low bureaucracy 
• meaningful systems, not demos 
• highly visible impact 

This is NOT a research job. You will build real AI-powered software that solves real business problems. 

We offer:

• Salary according to qualifications and experience;

• Official employment.

• 21 working days of paid vacation.

• 14 days paid sick leaves.

• Work on challenging web application projects which we deliver to our clients from all over the world (North America, Europe, Australia, Asia).

We’re looking for an Senior AI Automation Engineer (Full-time or Part-time) with hands-on experience in building AI-powered automations and agent-based workflows, and operating such systems in production

This role is for someone who can independently take a business task, design an AI-driven automation solution, and deploy it into production
 

What You’ll Do
 

• Design and build complex business automation workflows using N8N and Make, Zapier as an additional tools
• Implement AI-powered logic within automation flows using leading LLMs (OpenAI, Claude, Gemini, etc.)
• Design and configure agent-based scenarios for multi-step reasoning and task execution
• Apply advanced prompt engineering to ensure stable and predictable LLM behavior
• Integrate automation systems with external platforms via APIs
• Deploy and maintain AI automation flows in production environments
• Work directly with stakeholders to clarify tasks and translate business needs into technical solutions
   

Requirements
 

• 2+ years of experience building AI-driven automations and agent-based workflows
• Strong practical experience with N8N, experience with Make and/or Zapier is a plus
• Hands-on experience working with major LLMs (OpenAI, Claude, Gemini, etc.)
• Solid understanding of agent-based system architecture
• Advanced prompt engineering skills
• Strong understanding of system integrations and REST APIs
• Experience deploying and operating AI automation systems in production
• Ability to work autonomously from task clarification to production deployment
• English level B2+
   

Would Be a Plus
 

• Previous experience with RPA platforms
• Programing background with Python or JavaScript
• Experience building AI chatbots for open-ended communications
   

Why Join Us
 

• Architect and implement complex AI-driven automation systems, not just simple integrations
• Deliver production solutions for top international clients across the US, Canada, and UK
• Flexible remote work format (full-time or part-time)
• 20 paid vacation days and 5 paid sick days for full-time position 
   

We hire for an engineering mindset and ownership. If you're ready to move beyond simple prototypes and embed best-in-class engineering practices into AI automation - we’d love to hear from you

Somma is looking for an AI Automation & Marketing Systems Specialist to help streamline agency operations, marketing workflows, lead generation systems, and internal processes. This role is ideal for someone who can build practical, efficient systems that support a fast-moving marketing agency and improve how we manage leads, client workflows, communication, and delivery.

You will be responsible for implementing and optimising systems across Notion, Claude, n8n, CRM pipelines, email marketing platforms, and other automation tools to improve efficiency, reduce manual work, and create better internal structure. This may include lead capture and follow-up automations, outreach workflows, pipeline management, email marketing setup, internal process automation, task management improvements, reporting workflows, and AI-supported systems for research, content support, and operations.

Desired start date: MARCH 2026

Key Responsibilities

• Implement and optimise systems across Notion, Claude, n8n, CRM platforms, and email marketing tools
• Build and improve lead generation, outreach, and pipeline workflows
• Automate lead capture, follow-up, client onboarding, task management, and reporting processes
• Create AI-supported workflows for research, documentation, and operational efficiency
• Connect tools through APIs, webhooks, and automation platforms

• Document workflows and support the development of scalable internal systems

   

Desired Skills

• AI automation
• Marketing systems implementation
• Notion setup and workflow design
• Claude workflow support
• n8n automation
• CRM pipeline setup
• Email marketing automation
• Lead generation systems
• API integrations and webhooks

• Process improvement and workflow optimisation

   

Bonus Skills

• Zapier or Make.com experience
• Agency or multi-client experience
• Understanding of marketing and content workflows
• Experience with AI agents and automation strategy

We are looking for someone proactive, organised, solutions-focused, and confident in building systems that make an agency run more efficiently.

Thank you and we look forward to hearing from you.
Regards. 

Hello!

If technical process organization is your strong side, we should talk ;)

The group of companies MK:group, consisting of the translation company MK:translations and the business localization company Localica.io, is actively integrating AI and LLM technologies into the production of language services to scale the quality, speed, and efficiency of translation and to expand the range of services.

In this regard, we are opening a full-time position for an LLM & AI Engineer who will help build and improve the AI infrastructure for the next generation of localization solutions.

Key Responsibilities

• Research and implement AI/LLM solutions to automate translation and localization processes

• Deploy and optimize open-source LLM and NLP models

• Fine-tune models for specific language pairs, domains, and content types

• Develop AI pipelines for translation, post-editing, and quality evaluation

• Build systems based on LLMs, RAG, and embedding models for working with multilingual content

• Experiment with new open-source AI tools and adapt them to business needs

We are looking for a candidate with

• Experience working with Python and AI/ML tools

• Understanding of LLM architectures, NLP, or machine translation

• Experience working with open-source models (Llama, Mistral, etc.)

• Experience with GPU, inference, and model deployment

• Skills working with vector databases / embeddings / RAG – will be an advantage

• Experience working with Microsoft 365 Copilot / Copilot

• Ability to independently research new technologies and quickly prototype solutions

+++ Will be a plus if you have

• Experience with machine translation or localization tools

• Experience with Hugging Face, LangChain, LlamaIndex

• Experience with model fine-tuning or working with LoRA/PEFT

• Experience with multilingual or cross-lingual NLP

We offer

• Flexible working hours

• Work with modern AI technologies in the language technology field

• Opportunity to build AI solutions from scratch in a production environment

• Work in a stable but dynamic company with international clients

• The opportunity to influence the creation of a new generation of localization products

This role requires at least 2 years of experience with GenAI, not experimental use.

We are building an AI-driven platform for Project Estimation that helps businesses accurately estimate complex software projects using LLM technologies.

The product is moving from a working prototype to a scalable production system, and we are looking for an expert to help strengthen the AI engine and system performance.
 

Responsibilities

• Optimize LLM chains and system response time
• Implement parallel request processing for multiple users
• Build and refine agent orchestration using LangGraph
• Improve NLP processing of project requirements and estimation accuracy
   

Requirements

• Strong expertise in NLP and LLM systems
• Hands-on experience with LangGraph and multi-agent architectures
• Solid understanding of concurrency, async workflows, and token optimization
• Experience deploying AI solutions to production environments

Nice to have
 

• Experience with Vector Databases and RAG architectures
• Understanding of the Software Development Life Cycle

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Responsibilities:
- Curation of datasets for pre-training, supervised fine-tuning, and alignment
- Research and develop best practices and novel techniques in LLM training and evaluation pipelines.
- Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
GenAI & NLP Expertise:
- Practical experience with fine-tuning LLMs / VLMs models
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
ML & Programming Skills:
- Strong experience with deep learning frameworks such as PyTorch or JAX for building models.
- Ability to write efficient, clean code and debug complex model issues.

Nice-to-have:
Advanced NLP/ML Techniques:
- Applied experience using Reinforcement Learning in NLP / LLM settings
- Prior work on LLM safety, fairness, and bias mitigation.
- Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

The company offers:
- Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
- Remote onboarding
- We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
- Health and life insurance
- Wellbeing program and corporate psychologist
- Reimbursement of expenses for Kyivstar mobile communication

Responsibilities:

• Work closely with different departments (Marketing, Sales, HR, Finance, etc.) to understand their workflows and identify opportunities to improve efficiency using AI tools.
• Analyze existing processes and propose automation or AI-assisted solutions.
• Implement AI-powered automations using available tools (LLMs, workflow automation platforms, data tools, etc.).
• Build and maintain internal AI workflows, prompts, and integrations.
• Train and support team members in using AI tools in their daily work.
• Monitor performance of implemented automations and continuously improve them.
• Document AI workflows, best practices, and internal guidelines.
   

Requirements:

• Strong curiosity about AI and automation and motivation to continuously learn.
• Basic understanding of AI tools (e.g. LLMs, automation platforms, data tools) and how they can be applied in business processes.
• Analytical mindset and ability to break down workflows and identify inefficiencies.
• Basic technical skills (e.g. working with APIs, automation tools, spreadsheets, or scripting is a plus).
• Experience in operations, data analysis, product, or technical roles is a plus.
• Ability to communicate with both technical and non-technical teams.
• Problem-solving mindset and willingness to experiment with new tools.
• Self-driven and proactive approach to identifying improvement opportunities.
   

Nice to Have:

• Experience with automation tools (Zapier, Make, n8n, etc.).
• Experience with prompt engineering and LLM-based workflows.
• Basic knowledge of Python, SQL, or data analysis.
• Experience implementing internal tools or process improvements.

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.
   

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 30–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

Workload: full-time/part-time
Location: Israel, Tel Aviv!
Start: in a couple of weeks
English: B2

Company Description
Our company develops advanced AI solutions for life science, pharmaceutical, and biotech organizations. The company helps clients design practical, high-impact AI systems that improve research, development, knowledge management, and business processes. A key focus is building AI Knowledge Libraries that enable companies to structure, connect, and use their organizational knowledge more effectively with AI:

Role Description
This is a remote contract role for an AI Architect. The AI Architect will be responsible for designing and implementing enterprise AI solutions to specific use-cases, with a strong focus on designing AI Knowledge Libraries for companies in the life science, pharmaceutical, and biotech sectors.

Qualifications
Expertise in Architecture and Architectural Design for scalable and efficient AI systemsStrong experience with Microsoft AzureStrong experience with Microsoft 365 Copilot / Copilot StudioExperience designing and implementing enterprise AI solutionsGreat person to discuss on AI strategy, innovation and practical business opportunities

Domain: SaaS
Project: AI strategy product
Client: Germany
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B

About US
DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.

About PROJECT
The company is a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. The state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.

Redefining traditional category management, the company’s all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At the product, they are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.

The multitude of prestigious awards and recognitions speaks to their leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Main Tech Stack
AI/DS/ML related stack

Requirements

- Have 5+ years of proven industry experience in applying Machine Learning and AI techniques.
- Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations.
- Showcase expertise in NLP, LLM (3+ years), including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection.
- Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses).
- Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM.
- Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines.
- Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Responsibilities

- AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
- Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
- Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
- Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
- Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
- Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
- Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
- Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Will be a plus

- Seize the opportunity to join the team and make meaningful contributions to our engineering excellence within an international team and context.
- Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events.
- Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.

Benefits

- A long-term role in a stable, fast-growing company
- Flexible working hours with a results-oriented approach
- Competitive salary and benefits package (vacation, sick leave, national holidays)
- Comfortable workspace, corporate events, and team-building
- Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!

Trinetix is looking for a skilled AI-Native Engineer.

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows. 

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations. 

Requirements 

• Hands-on experience building RAG systems, vector search, or semantic pipelines. 
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs). 
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.). 
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization. 
• Experience building developer tooling, internal tools, plugins, or automation. 
• Ability to design and prototype systems independently. 

Nice-to-Have 

• Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.). 
• Experience implementing GraphRAG or similar graph-structured retrieval approaches. 
• Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM). 
• Understanding of software architecture and system design. 
• Experience with CI/CD pipelines, DevOps tooling, or platform engineering. 
• Ability to create ontologies or domain data models. 
• Experience working in R&D would be preferable. 

Core Responsibilities 

• Designing the core models and abstractions that will underpin our AI-native engineering ecosystem. 
• Developing intelligent mechanisms to surface the right information at the right time. 
• Creating assistive capabilities that streamline engineering tasks and workflows. 
• Driving innovation in how software teams interact with knowledge, context, and automation. 

• Collaborating across the organization to embed AI into the end-to-end delivery process. 

   

What We Offer 

• Opportunity to build a first-of-its-kind AI-native SDLC environment 
• Chance to influence engineering workflows across the entire company 
• Work within a high-impact, exploratory R&D team 
• Competitive compensation and growth opportunities 
• Full autonomy to prototype, test, and implement ideas 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture