Jobs ML / AI Engineer

We are seeking an experienced Kling 3.0 Specialist to collaborate on a 5-minute fantasy short film designed to feel like a polished animated movie, not a typical AI demo.

The project features both human characters and non-human fantasy creatures (including gargoyles and dragons) and requires a strong understanding of character consistency, anatomy, and continuity across shots. Kling 3.0 will be the primary tool for controlled motion and consistent characters, though complementary AI tools may be used where appropriate.

This is a creative, iterative, and collaborative process focused on storytelling, performance, and cinematic presentation.

🎯 Project Goals

• Create a cohesive 5-minute fantasy short with cinematic pacing
• Maintain strong character consistency across multiple shots
• Deliver expressive performances for both human and creature characters
• Achieve a film-like feel rather than an experimental AI showcase

🛠 Responsibilities

• Use Kling 3.0 to generate and refine animated shots
• Maintain consistent character appearance and anatomy across scenes
• Develop and iterate on character motion, blocking, and performance
• Collaborate on shot composition, pacing, and visual storytelling
• Integrate dialogue and performances (voice + animation)
• Refine scenes through multiple passes to achieve cohesive results

✅ Required Experience

• Proven experience using Kling 3.0
• Strong understanding of character consistency workflows
• Experience working with stylized and non-human characters
• Good eye for composition, framing, and cinematic flow
• Comfortable iterating and refining shots rather than one-pass generation

⭐ Nice to Have

• Experience with ElevenLabs (voice generation & emotional performance)
• Familiarity with additional AI video / image tools
• Background in animation, VFX, or cinematic storytelling

🧠 Ideal Candidate

• Thinks like a filmmaker, not just a prompt engineer
• Enjoys refining performances and visuals
• Comfortable working within the strengths and limitations of current AI tools
• Communicates clearly and collaborates well

📦 Deliverables

• Final rendered shots for a 5-minute short film
• Organized project files / prompts / references
• Consistent characters across all scenes

Numerical Technologies, a leading provider of software development and consultancy services for financial institutions, is looking for talented people experienced in Math and Python who will be responsible for development, testing, implementation, debugging and support of sophisticated financial applications.

Joining Numerical Technologies is a unique chance that provides the opportunity to work alongside experienced professionals on impactful, quantitative projects across North and South America, Europe, the Middle East, Africa, CIS and South Asia. This position is a chance to work hand-in-hand with expert quantitative researchers and quantitative engineers to create and implement research and simulation tools that leverage existing automated trading software and sophisticated statistical techniques and technologies.

Do you enjoy the process of problem solving, a process where you recognize areas of improvement and iterate and innovate to improve? Does your curiosity and desire to learn drive you? If this sounds like you, don't miss this opportunity to gain valuable experience in a highly competitive and demanding fintech industry.

What are we looking for?

◼️ Deep understanding of Applied Mathematics: Probability Theory and Statistics, Numerical Methods, Linear Algebra, Optimization

◼️ Bachelors, Masters or Phd in Physics, Mathematics, Statistics; or equivalent experience (we also welcome students)

◼️ At least 0.5 year of commercial experience as a Python Developer

◼️ Practical experience with AI technologies, particularly in applying them to solve real-world business problems
◼️ Basic understanding of NLP concepts
◼️ Familiarity with LLMs, embeddings, vector databases, and RAG architectures

◼️ Willingness to learn together with a team of professionals
◼️ Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)

◼️ Knowledge with Git, Jira, and Confluence

◼️ Excellent communication skills

◼️ Intermediate and higher level of English.

Please mention in your application any participation or awards in mathematics, physics, or programming Olympiads.

What will you be doing?

◼️ Collaborating with cross-functional teams to develop AI-driven solutions that address specific business challenges.

◼️ Continuously learning and staying updated on the latest AI technologies and best practices, applying this knowledge to improve existing projects.  

What additional skills will help you stand out?

◼️ Experience in Machine Learning

◼️ Participation in Kaggle competitions

◼️ Experience working at a financial institution

◼️ Experience working with cloud platforms (AWS, Azure)

We offer:

◼️ Competitive compensation depending on experience and skills

◼️ Regular assessments and salary reviews

◼️ Compensation for sick lists and regular vacations

◼️ Health insurance

◼️ English classes with certified English teachers

◼️ Flexible working schedule

◼️ Friendly team and enjoyable working environment

◼️ Comfortable, spacious office within 10 min from all three Metro lines.

◼️ Corporate and social events.

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

We’re looking for a brilliant Deep Learning & Computer Vision Engineer to join our Algorithms group.

What will you do?

• Be a researcher of the core deep learning algorithms and communicate with other researchers.
• Design and implement advanced algorithms to solve complex problems.
• Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Requirements

• At least 5 years’ experience as a researcher and development of deployed models.
• Strong understanding in deep-learning algorithms and computer vision.
• M.Sc. in computer science, or very experienced B.Sc Degrees Online 2025 - Best Course After 12th . or Engineering, or a related technical field.
• Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
• Good communication skills, self-motivated, proactive, flexible and passionate about learning.
• Focused on end-to-end delivery of solutions for real world scenario in challenging timeframe.

📍 Ukraine (Kyiv / Lviv / Remote)
⚠️ We consider candidates located in Ukraine only

We are looking for a Senior Data Scientist who enjoys solving complex ML problems, working with large datasets, and delivering models that directly impact real business metrics.

This is not a research-only role. Your models will go to production and influence real decisions.

What you will do

• Build and deploy supervised and reinforcement learning models
• Optimize ad targeting and campaign effectiveness
• Perform deep data analysis and feature engineering
• Apply optimization algorithms (linear / non-linear / combinatorial)
• Improve accuracy, scalability, and performance of existing models
• Work closely with engineering to integrate models into production
• Monitor and troubleshoot deployed solutions
• Communicate insights to product and business teams
• Mentor junior data scientists

Requirements

• 5+ years of experience in Data Science / Machine Learning
• Strong experience with supervised learning
• Hands-on reinforcement learning experience
• Solid understanding of optimization techniques
• Python
• SQL and relational databases
• scikit-learn / TensorFlow / PyTorch
• pandas / NumPy
• Production mindset and ownership

Nice to have

• OpenAI Gym or other RL frameworks
• AWS
• MLOps practices (Docker, CI/CD, versioning, Kubernetes)
• Experience with large-scale production systems

Soft skills

• Strong analytical thinking
• Clear communication
• Ability to work independently
• Prioritization in fast-paced environments
• Mentorship experience

 

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a unique opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU. As a Ukrainian team, we are determined to deliver substantial and meaningful change.

If you’re ready to join a dynamic team working toward a safer digital world, we invite you to be part of our journey. Shape the future with us and help defend against online threats with purpose and innovation.

Role Overview

We’re looking for a Senior AI Engineer with a solid engineering background and hands-on AI experience. In this role, you will help design and implement innovative AI-powered solutions that are core to our platform’s mission. You’ll work across the stack to build and integrate AI capabilities that are both scalable and practical.

You won’t need to build everything from scratch, but you’ll need the skills to fine-tune, adapt, and creatively apply state-of-the-art models and tools to solve real-world problems. Your responsibilities will range from working on backend services to shaping AI agents and LLM-based pipelines for production use.

Key Responsibilities

• Understand business challenges and generate innovative ideas to address them using AI and machine learning.
• Research, evaluate, and adapt existing deep learning and machine learning models for practical applications.
• Develop and maintain services for data enrichment using LLMs
• Implement AI-powered summarization and mapping tools
• Design and build AI agents for dynamic use cases
• Monitor industry advancements and identify opportunities to leverage the latest tools and techniques.

Requirements

Engineering Skills:

• Strong Python skills
• Experience with FastAPI, Docker, and asynchronous programming
• Good knowledge of DBs, including PostgreSQL and Elasticsearch

AI Skills:

• At least 3+ years of hands-on experience in AI/ML (more is a plus)
• Experience working with LLMs, RAG, and AI agents in production
• Strong understanding of transformer architectures
• Practical experience with prompt engineering
• Knowledge of LLM infrastructure and deployment
• Experience with deep learning frameworks such as PyTorch or TensorFlow

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in addressing information threats and tackling security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

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

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

Key Responsibilities:

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

Required Skills & Qualifications:

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

Preferred/Advantageous Experience:

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

What We Offer:

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

Technical Requirements:

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

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

We are seeking a highly technical Machine Learning Engineer to work onsite with a client team in Kyiv, supporting multiple customers and delivering production-grade ML solutions.

This role has a strong emphasis on ML Ops, model deployment, and computer vision, with additional exposure to Palantir Foundry (pipelines and UI). The successful candidate will be comfortable working independently in environments with uncertain or evolving requirements, while collaborating closely with both onsite and remote teams.

Key Responsibilities:
 

• Design, develop, train, fine-tune, and deploy machine learning models into production environments.
• Build and maintain ML Ops pipelines, including model versioning, deployment, monitoring, and retraining.
• Develop and support computer vision solutions for real-world business use cases.
• Work with structured and unstructured data to deliver scalable ML solutions from PoC → MVP → Production.
• Use Docker to containerize ML workloads and ensure portability and reproducibility.
• Contribute to and maintain Palantir Foundry pipelines and UI components (prior experience strongly preferred; training can be provided).
• Collaborate with cross-functional teams (engineering, product, client stakeholders) both onsite and remotely.
• Clearly communicate technical approaches, trade-offs, and results to non-technical stakeholders.
• Proactively drive progress and decision-making, even when requirements are ambiguous.
• Analyze data to find patterns and create machine learning solutions for challenging business issues
• Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
   

Required Skills & Experience:
 

• 3+ years of hands-on experience in Machine Learning, including model training, fine-tuning, and deployment, production ML systems
• Strong experience with Docker for ML workloads.
• Proficient with ML Ops concepts (CI/CD for ML, model lifecycle management, monitoring).
• Hands-on experience with PyTorch, TensorFlow, Keras, advanced Python skills (NumPy, Pandas, Scikit-learn, etc.).
• Experience working with cloud platforms (AWS, Azure, or similar).
• Familiarity with SQL for data analysis.
• Ability to work independently and take ownership of delivery.
• Fluency in English (spoken and written).
• Strong interpersonal skills with the ability to translate client requests into technical solutions and explain complex ML topics succinctly to technical and non-technical audiences

Strongly Preferred / Nice to Have:
 

• Prior experience with Palantir Foundry:Data pipelines, Foundry applications / UI
• Experience with computer vision use cases.
• Experience working in agile delivery environments.

Responsibilities:

• LLM configuration and optimization (Mistral, LLaMa, Qwen or others) - fine-tuning, quantization, performance tuning;
• Assessing required computational resources, selecting the optimal infrastructure for model deployment (on-premise or cloud), and analyzing cost efficiency;
• Implementing RAG to integrate models with vector databases;
• Orchestrating interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).
• Developing a service for interacting with the model (API for predictions, model management, integration with our application).
• Optimizing model performance for real-world usage.

Requirements:

• Experience with LLM models (Mistral 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, etc.);
• Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases;
• Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain;
• Experience in evaluating and optimizing infrastructure for AI deployments;
• Experience in developing APIs for integrating AI models into business processes;
• English level at least A2-B1.

Nice to have:

• Hands-on experience with fine-tuning and dataset preparation/annotation;
• Experience with vector databases (Pinecone, Weaviate, FAISS);
• Experience with Java.

We offer:

• Regular result-based salary reviews;
• Comfortable working hours (10-19 Kyiv time zone);
• Bonus system;
• Established product-focused environment;
• Range of tasks, from quick and simple to challenging investigation to run;
• Cheerful & dynamic environment;
• Friendly and open-minded team;
• Virtual workspace with perspective to move into one of the offices;
• Mentorship;
• Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc;)
• Sport and English classes discounts.

Hiring steps:

• First interview with the Recruiter;
• Technical interview with the Team Lead;
• Job Offer.

Your expertise:

• High personal interest and self-development in AI / ML
• Experience in creating Production services as an ML Engineer
• Experience with Data Science and Quantitative Analysis activities.

Will definitely be a plus:

• Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others
• High personal interest in Quant, algorithmic strategies, Finance, DeFi
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs
• Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects
• Experience in AI / ML startups or personal pet projects

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform extensive ML and Data Science research for new AI / ML solutions
• Develop new AI / ML solutions and participate in the architecture definition
• Support and upgrade current AI / ML solutions used in Production

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 25+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.

The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.

An engineering and technology company that creates cutting-edge robotic, autonomous, and mission-critical systems used in real-world conditions around the world. Teams work on complex hardware and software solutions, from system architecture and electronics to high-performance real-time software.
 

The company's employees work in international engineering hubs, where local talent interacts with teams and partners from different countries, sees the direct impact of their work, and participates in global projects. This opens up opportunities for professional growth, development of expertise in robotics and autonomous systems, and participation in the creation of innovative solutions that shape the future of high-tech industries

The team is seeking an experienced Quality Engineer to maintain quality control processes and standards, ensuring products meet established quality criteria. Cooperate with cross-functional teams, including production, design, and supply chain, to identify and resolve quality issues, reduce defects, and enhance overall product quality. This is a full-time, hybrid role. 

KEY RESPONSIBILITIES

• Verify conformity of manufactured products, including PCBAs, electronic assemblies, and complex electromechanical products, by developing and applying manufacturing test and inspection methods.
• Analyze manufacturing and incoming defects, evaluate test and inspection results, perform root cause analysis, and support corrective and preventive actions to improve product and process quality.
• Manage and develop Incoming Quality Control (IQC) activities, including inspection criteria, coordination of inspections, defect analysis, and supplier corrective actions.
• Support production quality assurance through in-process inspections, first-article checks, and quality support during manufacturing and assembly activities when required.
• Collaborate with cross-functional teams (production, engineering, supply chain) to establish and improve quality control measures, inspection protocols, and testing procedures.
• Support control of non-conforming products, ensuring proper identification, segregation, documentation, and controlled material flow.
• Maintain accurate quality records, including inspection results, non-conformities, root cause analyses, and corrective actions.
• Provide training and guidance to production and technical personnel on quality requirements and inspection methods.

BASIC QUALIFICATIONS

• Bachelor’s degree in Electronics Engineering, Electrical Engineering, Mechatronics, or a related technical field OR relevant hands-on experience in electronics manufacturing or quality engineering.
• Ability to read and understand technical documentation, including drawings, specifications, and test requirements.
• Strong problem-solving and analytical skills, with a structured approach to defect investigation and root cause analysis.
• Attention to detail and ability to draw clear conclusions from test, inspection, and production data.
• Good communication and cooperation skills in a cross-functional engineering environment.
• Confident PC skills.
• Willingness to learn and develop in the field of quality engineering and manufacturing.

What we offer
• Experience working in a fast-growing, highly innovative global industry.
• Excellent working conditions and an open team.
• Corporate events, regular internal activities, and other benefits.
• Opportunities for professional development and training.

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 

An engineering and technology company that creates cutting-edge robotic, autonomous, and mission-critical systems used in real-world conditions around the world. Teams work on complex hardware and software solutions, from system architecture and electronics to high-performance real-time software.
 

The company's employees work in international engineering hubs, where local talent interacts with teams and partners from different countries, sees the direct impact of their work, and participates in global projects. This opens up opportunities for professional growth, development of expertise in robotics and autonomous systems, and participation in the creation of innovative solutions that shape the future of high-tech industries

KEY RESPONSIBILITIES

• Design, develop, and maintain high-performance backend software in C++.
• Implement robust, scalable, and efficient system components for real-time operation.
• Partner with diverse, cross-disciplinary teams across the HUB to transform innovative ideas into impactful outcomes.
• Integrate and test various internal and external APIs.
• Participate in architecture design, technical decision-making, and system integration.
• Optimize performance, reliability, and resource usage for mission-critical environments.
• Conduct code reviews and ensure high code quality and adherence to best practices.
• Debug, profile, and maintain complex production systems.

BASIC QUALIFICATIONS

• At least 5 years of hands-on experience developing C++.
• Strong understanding of software engineering fundamentals, including OOP, memory management, and multithreading.
• Experience developing and maintaining complex backend or system-level software.
• Experience working in Linux environments.
• Experience working with version control and development tools (Git, Jira, Bitbucket, etc.).
• Ability to work independently, take ownership, and learn quickly.

PREFERRED SKILLS AND EXPERIENCE

• Experience working with ROS2.
• Familiarity with DDS-based communication protocols.
• Background in robotics, autonomous systems, or real-time distributed systems.
• Experience with performance or mission critical software.
• Experience with Docker and containerized deployments.

What we offer
• Experience working in a fast-growing, highly innovative global industry.
• Excellent working conditions and an open team.
• Corporate events, regular internal activities, and other benefits.
• Opportunities for professional development and training.

Role Overview

Senior AI Engineer will lead the development of multi-agent systems. Responsibilities include agent design, RAG, tool-calling, evaluation, safety guardrails, and integration with the core platform.

Key Responsibilities

• Architecture and implementation of LLM agents (LangChain, CrewAI, LangGraph).
• Development of RAG systems (Pinecone/Weaviate/Chroma).
• Prompt engineering, chain-of-thought, tool-calling.
• Agent evaluation (Ragas, DeepEval, Langfuse/Phoenix).
• Implementation of safety (prompt injection defense, human-in-the-loop).
• Integration with backend (FastAPI, Celery), monitoring of latency/token costs.

Requirements

Must-Have

• 4+ years in AI engineering, 2+ years specifically on LLM-based systems.
• Deep experience with agent frameworks: LangChain / CrewAI / LangGraph (multi-agent orchestration, tool-calling, state management).
• Hands-on RAG systems (vector DB: Pinecone, Weaviate, Chroma; retrieval strategies, chunking).
• Expertise in prompt engineering + evaluation (Ragas, DeepEval, Langfuse/Phoenix).
• Strong Python (3.10+, async, API integrations).
• Understanding of LLM safety (guardrails, hallucination mitigation, bias handling).

Nice-to-Have

• Production multi-agent systems experience.
• Knowledge of classical ML (scikit-learn, XGBoost/LightGBM) and NLP (Hugging Face Transformers, spaCy) for hybrid solutions.
• MLOps tools (MLflow, Kubeflow, Evidently).

🔹 100% remote | 🌎 Global team | ⏳ Full-time
 

If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here.
 

Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups.
 

You’ll work with really smart people—the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done.

We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself—some of our customers found us through five layers of referrals. That’s how much people appreciate what we do.
 

We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right.
 

We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place.

Role:

As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.

Requirements

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fluent in English for effective collaboration with our international team.

We are glad to offer you:

• 100% remote job.
• Paid vacations, sick leave, and holidays.
• Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible.
• Accounting assistance.
• Well-being budget.
• Reimbursement of expenses for professional development courses/certifications.
• Hardware upon business needs.
• Collaborative and innovative work environment with continuous opportunities for learning and growth.

Hiring process:

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd technical interview with the live coding challenge, Offer.

Join NineTwoThree Studio and be a part of a team that’s shaping the future with AI.