Jobs ML / AI

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

   

Preferred Qualifications:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

What we offer:

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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. 

Key Skills:

• CI/CD for Machine Learning: Proficiency in automating complex ML pipelines, specifically integrating Hardware-in-the-Loop (HiL) testing stages.
• Container Orchestration at the Edge: Expertise in managing lightweight container runtimes and registry services for ARM64-based automotive platforms.
• Automated Benchmarking: Experience building "auto-profiling" scripts that capture low-level hardware metrics using system-level performance diagnostics.
• Model Lifecycle Tools: Deep knowledge of experiment tracking and model registry platforms used to manage high-dimensional VLM artifacts.
  Scripting & Integration: Strong Python and Shell skills for bridging disparate tools in the NVIDIA-based software stack.

Job Responsibilities

Key Responsibilities:

• Automated Deployment Pipelines: Build and maintain CI/CD workflows that automatically trigger model conversion, quantization, and deployment to the target hardware upon code or model updates.
• Environment Virtualization: Manage containerized development and execution environments to ensure consistency between high-power training servers and the resource-constrained target platform.
• Performance Observability: Implement automated monitoring for inference telemetry (latency, throughput, memory pressure, and thermal metrics) during automated test runs.
• Model Versioning & Lineage: Establish a system for tracking model iterations, ensuring that every optimized artifact is tied to its specific training data, quantization parameters, and hardware-specific plugins.
• Inference Service Management: Configure and optimize unified inference serving engines to handle concurrent requests and streaming data on the target SoC.

Department/Project Description

We are seeking a highly specialized MLOps Engineer (Edge & Accelerated Computing) to develop and manage the continuous deployment, optimization, and monitoring infrastructure for high-dimensional Vision-Language Models (VLM) running on resource-constrained, NVIDIA-based automotive platforms.

Skill Category

AI/ML

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

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.

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 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!

8+ years software engineering experience

3+ 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

Architect and implement RAG pipelines on AWS Bedrock

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

Define chunking, embedding, and retrieval strategies

Design 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

Define model routing strategies (cost vs quality)

Implement guardrails and structured validation

Work closely with DevOps to productionize AI services

Mentor AI engineers and define AI engineering standards

Define long-term GenAI roadmap and architecture patterns

Department/Project Description

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for a Lead AI Engineer to design and 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.

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