Jobs ML / AI

We are looking for a Senior AI/ML Engineer to join a distributed AI team and build production-ready solutions focused on document processing, automation, and business applications. This role covers the full lifecycle of Generative AI systems, from concept to deployment, with a focus on scalable architectures, real-world performance, and measurable outcomes.

Required for this role

• 5+ years of experience in hands-on AI/ML engineering, delivering production-grade systems
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or related field
• Proven track record of building, deploying, and maintaining AI/ML solutions in production environments with measurable impact
• Strong proficiency in Python and relevant AI/ML libraries
• Practical experience delivering end-to-end Generative AI solutions, including production use of LLMs, model fine-tuning, and prompt engineering
• Experience building document processing pipelines and evaluating outputs using structured metrics and feedback loops
• Ability to design scalable, high-performance AI systems, balancing cost, latency, and quality
• Working knowledge of Git and agile delivery practices
• Strong problem-solving skills, attention to detail, and ability to work independently within distributed teams

Nice to have

• Experience with LLM orchestration frameworks such as LangChain
• Knowledge of MLOps practices, including CI/CD, monitoring, and model lifecycle management
• Experience with vector databases, embeddings, and retrieval-augmented generation (RAG)
• Familiarity with document intelligence, OCR, or structured data extraction, and experience delivering AI solutions in enterprise or client-facing environments

Your responsibilities

• Design, develop, and deploy production-ready AI solutions with a focus on Generative AI and LLM-based applications
• Build and optimize document extraction and processing pipelines powered by LLMs
• Develop and refine prompt engineering strategies to improve output accuracy and consistency
• Analyse and optimize AI workflows across cost, latency, and quality trade-offs
• Develop, test, and enhance features within AI systems to meet evolving business needs
• Support the full lifecycle of solutions, from prototyping to deployment and monitoring
• Collaborate with stakeholders to align technical solutions with business goals and communicate complex concepts clearly
• Monitor and evaluate model performance in production, driving continuous improvements
• Stay up to date with advancements in Generative AI and apply new approaches where relevant

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We are looking for a Middle AI Engineer who will help us build, integrate, and scale AI-powered products that solve real business challenges.

This role is focused on creating production-ready AI solutions — from backend services and LLM integrations to RAG systems, AI agents, and workflow automation. You will work closely with Product Managers, developers, and business teams to transform ideas into reliable AI products that deliver measurable value.

What you will do:

• Develop production-ready AI services, backend components, APIs, and integrations for internal and external AI products.
• Design and implement AI solutions based on Large Language Models (LLMs), RAG architectures, AI agents, and workflow automation.
• Build and optimize Python-based services and backend infrastructure with a focus on scalability, reliability, and maintainability.
• Integrate and work with different types of AI models — including proprietary APIs (OpenAI, Anthropic, Gemini, etc.) and locally hosted models.
• Design and improve RAG pipelines: data processing, embeddings, vector search, retrieval optimization, knowledge bases, and AI response quality improvement.
• Develop AI agent systems and automation workflows, including integrations with external APIs, corporate systems, and internal tools.
• Conduct technical experiments with models, prompts, architectures, and inference parameters to identify the most effective solutions.
• Implement AI quality evaluation and monitoring approaches: analyze model performance, improve reliability, reduce errors, and optimize system efficiency.
• Collaborate with Product Managers and cross-functional teams to translate product requirements into technical solutions and scalable architectures.

• Ensure AI services are secure, stable, and production-ready by monitoring performance, resolving issues, and continuously improving systems.

   

What we expect from you

• 3+ years of commercial software development experience with strong Python expertise.
• Experience building backend services, APIs, and integrations using modern technologies.
• Strong understanding of software engineering principles: clean code, architecture patterns, testing, scalability, and maintainable solutions.
• Practical experience developing AI products based on Large Language Models (LLMs).
• Hands-on experience with RAG systems, embeddings, vector databases, retrieval optimization, and AI application development.
• Experience working with AI model integrations, including external APIs and/or locally deployed models.
• Understanding of AI agents, workflow automation, and approaches to building reliable AI systems.
• Experience with Docker, CI/CD, and production deployment processes.
• Ability to analyze AI system performance and improve quality, efficiency, and reliability.
• Upper-Intermediate English level (B2+) 

Will be a plus:

• Experience with fine-tuning or adapting AI models.
• Experience with MLOps / LLMOps practices.
• Knowledge of NLP approaches.
• Experience with cloud platforms and scalable infrastructure.

What we offer

• Competitive compensation up to $4,000, depending on your experience and expertise.
• Office-based work in Lviv with the possibility of a hybrid schedule.
• High level of technical ownership and the opportunity to solve challenging engineering problems.
• Professional development opportunities: company-sponsored courses, training, and access to necessary tools and resources.
• A team of experienced specialists who value expertise, initiative, and high-quality engineering.
• The opportunity to become one of the key engineers shaping the company’s AI direction.
• Relocation support for candidates from other cities, including assistance with moving and adaptation in Lviv.

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 7+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise.

We are looking for a Lead/Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Part-time work is also possible (4 hours a day).

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.
 

     You'll be a great fit if you have:

•  Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;

• Strong experience in statistics;

  What you'll do:

• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

     We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for a versatile Product Engineer based in Europe to join our high-performance team and build the end-to-end features that power our agents.

The Role

You will be the bridge between our AI logic and the user experience. You will work across the entire stack—from developing AI agents to building the FastAPI endpoints that drive our agents that our clients use to manage their AI marketing teams.

Key Responsibilities

• Agents Development: Build and maintain AI agents and features from the database level up to the UI.
• Agent Integration: Work closely with our AI team to integrate LangGraph/LangChain workflows into the platform.
• API Design: Develop and optimize high-performance APIs using Python (FastAPI).

Requirements

• AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system. While you don't need to be an AI researcher, you should have experience with LLM integration and agentic frameworks. 
• Engineering Mastery: 5+ years of experience in software engineering. Solid Python skills with a focus on asynchronous programming (FastAPI, AsyncIO). Familiarity with PostgreSQL, Redis, and modern CI/CD practices. 
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Product Mindset: You care about the user experience and understand how your code impacts the business goals of our GameDev clients. 

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for an AI Jedi—a top-tier engineer who lives and breathes agentic orchestration and can solve the most complex problems in the LLM space.

The Role

This is a high-impact, individual contributor role for a master of AI engineering. You will be responsible for the "brain" of our platform. We need someone who can move beyond basic RAG and prompt engineering to build sophisticated, self-correcting, and autonomous agentic workflows that deliver results for the world’s biggest gaming studios.

Key Responsibilities

• Architecting Autonomy: Design and implement high-level agentic orchestration using LangGraph or custom state-machine frameworks.
• AI Excellence: Solve complex challenges related to agent memory, long-term planning, and multi-agent collaboration.
• Performance & Reliability: Build robust evaluation loops and guardrails to ensure our agents perform reliably in production environments.
• Innovation: Stay at the absolute bleeding edge of AI research, quickly turning new papers and techniques into production-ready features.

Requirements

• Deep AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system.
• Python Mastery: Expert-level Python skills with a focus on asynchronous programming (FastAPI, AsyncIO).
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Infrastructure Savvy: Comfortable with Vector Databases, high-scale data pipelines, and cloud infrastructure (AWS/K8s).
• Startup DNA: You are a "Builder." You value speed, pragmatism, and shipping code that works over theoretical perfection.

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Equity & Growth: A fast-track path to a key leadership role with a stake in the company’s success.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Deep AI/ML & Dev Background: A strong foundation in traditional machine learning, computer vision, and modern Generative AI/Agentic frameworks. You have a proven track record as a software engineer (Python, C++, etc.) who understands production-grade architecture.
Physical AI Familiarity: True passion for the intersection of software and the physical world. You understand how AI interacts with edge computing, robotics (ROS), IoT protocols, or industrial automation (PLCs).
Industry Awareness: You are genuinely obsessed with the state of the art. You know what models dropped last week, which hardware accelerators are trending, and how competitors are approaching physical automation.
The Proactive Ideator: You don't wait for a ticket to be assigned. You look at a client's industrial problem, generate three viable AI solutions, pick the best one, and start building the proof-of-concept.
Technical Communicator & Consultant: Excellent communication skills with the ability to translate complex AI models into clear business value for C-level clients during pre-sales, while maintaining deep technical credibility with engineering teams.

Job Responsibilities:

Engineering Unit Ideation & Execution: Generate, evaluate, and implement cutting-edge Physical AI use cases. You will own the technical roadmap for our prototypes, ensuring we are constantly pushing the boundaries of what AI can do in the physical realm.
Pre-Sales & Client Architecture: Partner with business development to review client requirements, architect end-to-end Physical AI solutions, and present the technical vision directly to customers. You will support the critical transition from a signed contract to a launched project.
Technical Review & Mentorship: Act as the ultimate technical authority for the Engineering Unit. You will review code, evaluate architecture diagrams, ensure high engineering standards, and guide junior developers as the team grows.
Internal Networking & Knowledge Sharing: Connect with technical leaders and capabilities across the company to leverage existing expertise. You will keep your finger on the pulse of global AI/ML advancements, ensuring our Engineering Unit always uses the latest, most efficient technologies.
Hands-on AI/ML Development: Maintain a strong development presence. You will design and implement the software glue, agentic workflows, and ML models that allow digital brains to interact with physical sensors, actuators, and industrial systems.

Department/Project Description:

The Vision
Generative AI is stepping out of the browser and into the physical world. We are building "Physical AI" - bridging digital agentic intelligence with real-world mechanical, robotic, and industrial systems. To prove this to our clients in manufacturing, energy, and mobility, we don't just build slide decks; we build functioning physical prototypes and architect scalable, real-world solutions. We are establishing a brand-new Physical AI Engineering Unit to target massive operational impact for Fortune 500 customers. We are not running isolated lab experiments; we are engineering the future of physical operations, and we need a technical anchor to help us build this foundation from the ground up.
The Role
You are the technical heartbeat and catalyst of our Physical AI EU. This is a highly dynamic, proactive role that demands a rare blend of deep technical mastery (AI/ML + software development) and entrepreneurial drive. You aren't just waiting for architectural blueprints to be handed to you; you are the one generating the ideas, reviewing the technical solutions, and bringing them to life.
You will naturally connect the dots across our company - communicating with internal engineering teams, staying ahead of the latest industry breakthroughs, and acting as the technical face of this EU during pre-sales activities.

About Us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

And now we are looking for a Machine Learning Engineering Lead to join us as part of our team.

About the role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

We’re looking for a highly hands-on Machine Learning Engineering Lead to drive the delivery of production-grade ML services. Your mission is to act as the primary technical driver for a team that bridges the gap between data science and enterprise software engineering, focusing on Machine Learning as a Service (MLaaS). As a coding leader, you will work with your team to deliver: 

• Model as a Service: Design, code, and productionalize models into robust, model-driven services for use in product features. 
• Service Enhancement: Directly implement advanced ML integrations to improve existing products. 
• End-to-End MLDLC: Actively build and manage the pipelines that take models from experimentation to full production-grade deployment.

The ideal lead is an experienced software engineer at their core, balancing high-level system design with specialized ML awareness. You are expected to be a hands-on contributor while leading the technical standard for the team. 

• Hands-on Engineering Excellence: Lead the design, breakdown, and implementation of scalable, secure, and maintainable software solutions. Write clean, efficient, and well-documented code. 
• Full Cycle Delivery: Take ownership of the transition from data science experimentation to productionized services, coding the integration layers, communication interfaces, and cloud deployment.. 
• Best Practices via Leading by Example: Lead the engineering SDLC practices through rigorous code reviews, pair programming, and automated testing. 
• Infrastructure Mastery: Utilize, build, and adjust MLOps infrastructure (CI/CD, Kubernetes, Docker, clouds) to optimize the team’s delivery pace. 

Team setup: 1 Engineering Manager, 6 ML & AI Engineers.

Technical Stack: Python, Classic ML, LLM toolkits, Langchain, Langsmith, AWS, GCP, AWS Sagemaker, Kafka, Prometheus, Grafana, Fast API.

Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert You will

• Technical Execution & Implementation (Primary Focus) 
  • Scalable Systems: Lead design and build high-performance, production-grade systems that handle real-time, high-volume data processing. 
• Integration Ownership: Serve as the lead developer collaborating with cross-functional product delivery teams to seamlessly integrate ML models into the broader enterprise infrastructure. 
• Complex Troubleshooting: Dive deep into the codebase to foresee or troubleshoot and resolve the most complex technical, architectural, and deployment issues. 
• Innovation: Experiment with and implement emerging trends in ML, Agentic AI, LLMs, and GenAI to identify practical opportunities for product improvement. 
• Technical Leadership & Enablement 
  • Technical Mentorship: Act as the primary technical mentor for MLEs, fostering engineering culture by leading by example and spreading knowledge. 
• Delivery & Governance: Help to translate business needs into technical solutions and drive sprint execution to ensure high-quality, timely feature releases.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience).
• Experience: 8+ years in software engineering with experience acting as a technical lead while maintaining active, hands-on coding responsibilities. 
• 3+ years of experience in hands-on development and deployment with Python. Strong coding proficiency in Python for service development, model building, data extraction, and ML model management. 
• 3+ years of experience in engineering microservice architectures, including post-deployment operations such as monitoring and maintenance.
• 3+ years of experience and expertise in Amazon Web Services (AWS) and/or Google Cloud Platform (GCP), Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, FastAPI, Prometheus, Grafana, and Apache Kafka.
• Experience with AI/ML development and delivery. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Hands-on experience with LLM toolkits like LangChain, LangGraph, or LangSmith.
• Ability to break large, complex solutions into well-defined stories/tasks, ensuring iterative development and continuous improvement by the ML Engineering team. Systems thinking and system design experience.
• Experience in cloud-native delivery, with practical understanding of containerization technologies.
• Proficiency in GitOps and creation/management of CI/CD pipelines.
• Demonstrated experience building and using SQL/NoSQL databases.
• Good problem-solving skills with a focus on innovation, efficiency, and scalability in a global context.
• Communication: Ability to propose and discuss complex technical architectures and analyses clearly to both engineering teams and stakeholders. 
• Experience working with cross-team dependencies with multiple development teams is a plus.
• Fluent Ukrainian, both spoken and written, for effective day-to-day communication with the team.

Bonus points

• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing large language models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience in retrieval-augmented generation systems engineering and evaluating.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks. Java programming experience is a plus.

What’s in it for You

Reveal great tech solutions

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

Experience an agile and flexible working environment

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

Embrace the opportunity for personal and professional growth

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

Be among like-minded people

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

Interview steps

1. Interview with the TA Specialist
2. Technical Interview
3. Interview with Engineering Manager
4. System Design Interview
5. Client Interview.

Ідеально для тих, хто прагне:

• Визначати та впроваджувати загальну стратегію AI, визначаючи ключові можливості для трансформації AI в продукті, інженерії та операційних процессах;
• Інтегрувати AI рішення в процеси компанії, включаючи розробку програмного забезпечення, аналіз даних, забезпечення якості/тестування, документацію та робочі процеси підтримки клієнтів;
• Керувати внутрішніми AI ініціативами, включаючи експерименти, проекти перевірки концепції та швидку оцінку нових інструментів AI;
• Співпрацювати з командами інженерів, аналітиків та продукту для визначення та впровадження практичного використання AI;
• Створювати та підтримувати внутрішні платформи та інструменти, які дозволяють командам ефективно використовувати можливості AI;
• Розробляти та підтримувати дорожню карту впровадження AI, включаючи вибір технологій, інструментів та платформ AI;
• Навчати та підтримувати команди у впровадженні інструментів AI та передового досвіду через семінари, тренінги та внутрішній обмін знаннями;
• Надавати внутрішні консультації з питань AI бізнес-підрозділам, допомагаючи виявляти можливості та оцінювати потенційну рентабельність інвестицій в ініціативи AI.

Досвід, який стане твоєю перевагою:

• 8+ років досвіду роботи в технологічних компаніях, бажано в галузі програмної інженерії, платформної інженерії або на посадах, пов’язаних з даними/штучним інтелектом;
• Досвід на керівних посадах;
• Практичний досвід роботи з сучасними технологіями та екосистемами штучного інтелекту, включаючи інструменти на основі LLM та робочі процеси на базі штучного інтелекту;
• Досвід керівництва вдосконаленням процесів або трансформаціями в інженерних командах;
• Англійська мова — upper-intermediate або вище (здатність спілкуватися в технічних дискусіях);
• Глибоке розуміння архітектури рішень на основі штучного інтелекту та інтеграції інструментів штучного інтелекту в робочі процеси розробників;
• Підтверджений досвід впровадження нових технологій та проведення технічних трансформацій на організаційному рівні;
• Досвід впровадження помічників з кодінгу штучного інтелекту або інструментів штучного інтелекту для продуктивності розробників (буде перевагою);
• Досвід створення внутрішніх платформ для розробників або інструментів продуктивності інженерії (буде перевагою);
• Досвід роботи з агентами штучного інтелекту або системами на основі агентів (буде перевагою);
• Досвід роботи з платформами даних або інфраструктурою машинного навчання (буде перевагою).

Ми цінуємо:

• Сильні комунікативні навички та здатність пояснювати складні технічні концепції чітко та доступно;
• Стратегічне мислення та здатність виявляти високоефективні можливості AI;
• Здатність впливати на команди та впроваджувати зміни без прямих управлінських повноважень;
• Допитливість та захоплення новими технологіями та інноваціями;
• Здатність поєднувати довгострокову стратегію зі швидким експериментуванням та практичним впровадженням.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

English version:

Perfect for those who aim to:

• Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations;
• Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools;
• Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities;
• Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms;
• Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows;
• Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases;
• Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing;
• Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.

Experience you’ll need to bring:

• 8+ years of experience in technology companies, preferably in software engineering, platform engineering, or data/AI-related roles;
• Experience in management positions;
• Experience leading process improvements or transformations in engineering teams;
• Strong understanding of AI solution architecture and integration of AI tools into developer workflows;
• Proven experience implementing new technologies and driving technical transformations at an organizational level;
• Hands-on experience working with modern AI technologies and ecosystems, including LLM-based tools and AI-powered workflows;
• English — upper-intermediate or higher (able to communicate in technical discussions);
• Experience implementing AI coding assistants or AI tools for developer productivity (will be a plus);
• Experience building internal developer platforms or engineering productivity tools (will be a plus);
• Experience working with AI agents or agent-based systems (will be a plus);
• Experience working with data platforms or ML infrastructure (will be a plus).

It's a perfect match if you have those personal features:

• Strong communication skills and the ability to explain complex technical concepts in a clear and accessible way;
• Strategic thinking and the ability to identify high-impact AI opportunities;
• Ability to influence teams and drive change without direct managerial authority;
• Curiosity and passion for emerging technologies and innovation;
• Ability to balance long-term strategy with fast experimentation and practical delivery.

Our clients offer competitive benefits to support your professional and personal growth, including: 

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.

We are looking for an AI Engineer to design and build AI agents, Voice AI solutions, and intelligent automations. You'll work with modern LLMs, agent frameworks, and production AI systems that solve real business problems.

What You'll Do:

• Build AI agents, Voice AI solutions, and intelligent automation workflows.
• Design and develop AI-powered applications using modern LLMs and agent frameworks.
• Build RAG pipelines and integrate AI systems with APIs, databases, CRMs, and third-party services.
• Design prompts, agent workflows, memory, and tool-calling capabilities.
• Optimize AI systems for performance, reliability, scalability, and cost efficiency.
• Explore new AI models, frameworks, and technologies, applying the best solutions to real-world use cases.
• Collaborate with engineers and clients to deliver production-ready AI solutions.

What We're Looking For:

• 2+ years of commercial experience in AI Engineering.
• Strong Python skills.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and AI-powered applications.
• Experience with LangGraph, LangChain or similar frameworks.
• Understanding of prompt engineering, RAG, embeddings, vector databases, and AI orchestration concepts.
• Strong problem-solving skills, ownership mindset, and eagerness to learn.
• English – Upper-Intermediate (B2) or higher.

What We Offer:

• Structured onboarding – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Initial Call → Qualification Interview → Test Task → Review Test Task.
 

If you're excited about building AI products that solve real business problems and want to work with the latest AI technologies every day, we'd love to meet you 👋

We're building a product in the AdTech space, where AI is becoming a core part of the platform - from creative automation to advertising performance analytics. We're now forming a new direction: a team that will systematically bring AI solutions into the product and work cross-functionally with other engineering teams.

About the Role

We're looking for an AI Engineer who can become the core of the company's future AI team. This is not a research role, and it's not about training your own models it's about real, hands-on implementation of LLM-based solutions in the product, with a strong focus on product ownership and engineering quality.

You will:

• Implement AI features directly in the product (e.g., AI-powered regeneration of ad creatives, AI scoring of creative performance, analysis of how editors interact with ads)
• Work cross-functionally with other engineering teams, helping to systematize AI usage across the company
• Design and build LLM-based solutions: model API integration, prompt engineering, RAG, AI agents/tooling
• Proactively propose where and how AI can strengthen the product — rather than waiting for a fully defined spec
• Help lay the foundation for a dedicated AI team within the company over time
   

What Matters to Us

• A strong engineering background (backend/full stack), with production development experience — not just notebook experiments
• Hands-on experience integrating LLMs into real products (OpenAI, Anthropic, or similar APIs) — NOT experience training or fine-tuning your own models
• Understanding of prompt engineering, RAG, and building AI agents
• Product ownership: someone who generates their own ideas for how AI can move the product forward, and sees them through to implementation
• A genuine drive to implement solutions, not just conceptualize them

Who This Role Is For

• An engineer who is passionate about not only exploring or discussing AI approaches but also implementing AI solutions directly into production products.
• A professional with a strong engineering foundation who enjoys writing high-quality code and seeing its tangible impact on the product.
• A hands-on engineer who thrives on building and taking ownership rather than managing people. Someone who is eager to take end-to-end responsibility for designing, implementing, and continuously improving their product area.

Project Description:

One of the world's largest providers of products and services to the energy industry has a need to develop, support and integrate software system in Oil & Gas domain.

You will be a member of a cross functional team.

Key project stakeholders are open for innovative ideas.

Project is based on SCRUM methodology.

This is a great opportunity to work in an international team, apply and learn modern IT technologies

Responsibilities:

Application Security with strong AI/ML security exposure

Threat modeling and risk assessment for AI systems, APIs, and cloud-native applications

Protection against prompt injection, adversarial ML, data poisoning, and model abuse

Secure SDLC and CI/CD integration, including MLOps pipelines

Hands-on experience with SAST, DAST, SCA, container scanning, and security automation

Strong collaboration with development and data science teams

Mandatory Skills Description:

5+ years in Application Security, with at least 1-2 years focused on AI/ML security

Strong secure coding and vulnerability management background (OWASP Top 10)

Experience with cloud platforms (AWS and/or Azure)

Strong programming skills in Python or Java

Familiarity with AI platforms such as Amazon Bedrock, SageMaker, or Spark

Strong communication skills

Nice-to-Have Skills Description:

Good knowledge of Microsoft Active Directory services

Firewall and security group administration practical experience.

Good understanding of AICPA SOC2 controls and processes.

Thorough knowledge of network security and protocols.

Knowledge of cryptography protocols and hands-on experience in SSL certificates generation.

Penetration testing hands-on experience in Azure and AWS cloud environments and Kubernetes clusters.

 Web and desktop applications penetration testing hands-on experience.

Languages:

English: B2 Upper Intermediate