Jobs ML / AI

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

What you will do:

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.
• Proactively identify high-impact opportunities where AI can generate measurable business value.

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

We are looking for a senior full-stack engineer with proven experience in AI-powered document workflows.

Requirements

• 5+ years of software development experience
• Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
• Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
• Experience with PDF processing: extraction, parsing, classification at scale
• Comfortable in fast-moving, small-team environments with high autonomy

• Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)

   

• Nice to Have
  Direct experience in real estate tech or legal tech products
  E-signature or document execution workflow experience
  Background in deal or transaction management platforms

Key Responsibilities

• Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
• Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
• Implement document state analysis — execution status detection, document categorization, follow-up identification
• Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
• Work autonomously and communicate proactively — own features end-to-end

Required Tech Stack

• Next.js / React — primary framework (frontend and API)
• Supabase — database and authentication
• Vercel — deployment infrastructure
• Claude API (Anthropic) — AI layer; strong prompt engineering skills required
• TypeScript — used throughout the codebase

OneAcademy is looking for a Video Designer with strong motion design skills and hands-on experience using AI tools for commercial video production. We are building a fast-scaling education brand focused on high-performance digital content, and we need someone who can combine creativity with speed and ownership.

What You’ll Do

• Create short-form video content (Reels, YouTube Shorts, TikTok) using AI-assisted production tools
• Develop static creatives for social media and marketing campaigns
• Optimize video production workflows to improve speed, efficiency, and scalability
• Adapt content to different platforms and formats
• Work within tight deadlines while maintaining quality standards

Hard Skills & Experience

• 2+ years of strong, hands-on experience with Adobe After Effects
• Basic proficiency in Adobe Photoshop
• At least 6 months of practical experience using AI tools for commercial video production (e.g., Kling, VEO, Sora, or similar)
• Experience with prompt engineering and cost optimization of AI tools (tokens / credits management)
• Solid understanding of composition, color correction, and storytelling fundamentals

Soft Skills We Value

• High level of independence and self-management
• Strong sense of responsibility and ownership over tasks and results
• Proactive mindset
• Fast learner, comfortable adapting to new tools and workflows
• Ability to operate in a performance-driven environment

What We’re Looking For

This role is ideal for someone who is not just an executor, but a creator who understands both aesthetics and performance metrics. You should be comfortable experimenting with AI tools, iterating quickly, and continuously improving production efficiency.

If you thrive in a fast-moving, digital-first environment and want to shape the visual language of a growing education brand — we’d love to hear from you.

Why OneAcademy

• Direct ownership over growth of a core educational product
• Opportunity to build a scalable, data-driven education business
• Global product with long-term LTV focus
• High level of autonomy and fast execution
  
  What We Offer
• Ownership of acquisition strategy 
• Work with large budgets and high-scale performance campaigns
• Direct influence on unit economics and growth metrics
• Opportunity to build and shape your own team
• Remote work with flexible schedule
• Work in a fast-growing global prop trading firm
• Performance bonuses and incentives

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for aComputer Vision / Machine Learning Engineer.

We are looking for  CV/ML Engineer to join as one of the first engineers on the team. You will work closely with the technical lead to build the ML pipeline from the ground up — implementing core components across data processing, model training, and deployment.

This is an early-stage startup, so the tech stack and processes are still being shaped. You will have real input into the tools and approaches we adopt, and your work will directly define how the platform operates. We are looking for someone who is hands-on, curious, and comfortable building things that don’t exist yet.
 

What You Will Work OnData Pipeline & Preprocessing

• Build video preprocessing pipelines: clip segmentation, frame extraction, scene detection, quality filtering
• Implement embedding extraction and data curation workflows for selecting diverse training subsets from a massive video corpus
• Prepare and export datasets in standard formats for training and annotation
   

Model Training & Experimentation

• Train and evaluate computer vision models for object detection, classification, tracking, and segmentation
• Run experiments, track results, and iterate on model architectures and hyperparameters
• Implement data augmentation strategies for robustness across weather, lighting, and occlusion conditions
• Contribute to distributed multi-GPU training pipelines
   

Active Learning & Annotation Support

• Implement auto-labeling pipelines with confidence-based routing
• Build tooling around the annotation platform (pre-annotation, format conversion, quality
• Maintain automated quality checks for label consistency
   

Edge Deployment

• Export and optimize models for inference on NVIDIA Jetson (ONNX, TensorRT, FP16/INT8quantization)
• Run accuracy and latency benchmarks on edge devices
• Help maintain the model delivery pipeline from training to deployment
   

Requirements Must Have

• 3+ years of hands-on experience in computer vision and deep learning
• Solid PyTorch skills — comfortable writing training loops, custom datasets, and model code
• Experience with at least one detection or segmentation framework (YOLO family, Detectron2, MMDetection, or similar)
• Understanding of model evaluation metrics (mAP, IoU, precision/recall)
• Familiarity with experiment tracking (MLflow, W&B, or similar)
• Python as primary language; clean, well-structured code
• Comfortable working in Linux and containerized environments (Docker)
   

Nice to Have

• Model optimization experience (ONNX export, TensorRT, quantization)
• NVIDIA Jetson or other edge/mobile deployment
• Multi-object tracking (ByteTrack, DeepSORT, or similar)
• Experience with video processing pipelines (FFmpeg, OpenCV, decord)
• Data curation or annotation tools (FiftyOne, CVAT, Label Studio)
• Distributed training (DDP, Ray Train)
• UAV / drone / robotics or MilTech domain experience
   

What We Offer

• Join an early-stage team where your contributions shape the product from day one
• Work across the full ML pipeline — not just one narrow piece
• The largest privately owned UAV video dataset in the world — petabyte-scale, impossible toreplicate
• Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
• Open-source-first approach with no vendor lock-in
• Growfast in a small team with direct mentorship from the technical lead

We are looking for an ML Engineer to join Intelliarts and contribute to an innovative EV charging management platform that powers large-scale charging networks worldwide.

The platform processes real-time telemetry and charging session logs from thousands of stations, creating a comprehensive data foundation for intelligent monitoring and predictive capabilities. As the ML components are just beginning their journey to production, you'll play a key role in designing and implementing the first generation of machine learning solutions focused on anomaly detection, predictive maintenance, and behavioral pattern recognition.

Your work will enable charging network operators to proactively identify equipment issues, predict potential failures before they occur, and maintain optimal service quality — transforming raw charging data into actionable intelligence that keeps the infrastructure running smoothly.

Intelliarts Ltd. is a boutique software engineering company established in 1999, in Lviv, Ukraine. We launch and support dedicated development teams that help startups and technology companies worldwide to build awesome products. With a flat structure, we don’t offer traditional vertical career growth. Instead, we created a working environment encouraging professional and personal growth: challenging projects, tight integration with teams abroad, and learning from experienced colleagues.

Responsibilities

• Translate business/optimization needs into ML problems
• Design and own end-to-end data/feature pipelines
• Build, validate, and productionize models for forecasting, classification, and anomaly detection on operational data
• Define evaluation metrics and experimentation loops (offline simulation, A/B tests, post-deployment monitoring)
• Integrate models into microservices and optimization workflows (batch/real-time inference, APIs, containers)
• Establish MLOps foundations: versioning, CI/CD, monitoring, and drift detection.

• Collaborate closely with domain/optimization engineers and stakeholders to ensure models drive measurable impact

   

Personal Profile Overview

• Comfortable owning the full ML lifecycle (problem framing, data, model, deploy, observe)
• Degree in Data Science, Computer Science, Software Engineering, or related field
• Stability in previous employment history, with a tendency to remain with employers for extended periods
• Experience in managing diverse project activities (not just coding, but also requirements analysis, preparing estimations)
• Clear and effective communication skills, both verbal and written, and the ability to convey ideas, information, and messages accurately and efficiently
• Proficiency in fostering effective collaboration and teamwork activities
• Ability to analyze information, assess situations, and make decisions based on sound reasoning and logical evaluation
• Focus on delivering exceptional customer experiences and prioritizing customer satisfaction
• Analytical thinking, problem-solving abilities, and a strategic approach to technical challenges
• Transparency in sharing information within a team and company

• Willingness to acquire new knowledge and insights to enhance professional growth and performance

   

Required Skills

• 3+ years of hands-on experience in applied machine learning, with a strong focus on classical ML algorithms and structured data
• Experience with Time Series (forecasting, demand prediction) models like ARIMA, Facebook Prophet, LSTM, Gradient Boosting for Time series.
• Deep understanding of unsupervised learning (clustering, anomaly detection). Experience with unsupervised anomaly detection (Isolation Forest, Autoencoders, Gaussian Mixture Models).
• Experience handling high-volume datasets using Big Data technologies like Apache Spark
• Proven track record in MLOps: building end-to-end ML pipelines, deploying models to production, and managing model retraining lifecycles
• Familiarity with cloud-based ML infrastructure (AWS/GCP/Azure)
• Strong expertise in feature engineering for telemetry data (handling irregular timestamps, resampling, missing values)
• Proficiency in error analysis and debugging ML models, including use of metrics like MAE, RMSE, F1, ROC-AUC, and calibration curves

• English Upper-Intermediate (B2)

   

As A Plus

• Experience with Semi-supervised learning and Self-supervised learning for time-series
• Experience with the energy/EV charging domain
• Survival analysis (Weibull models, Cox models)
• Remaining Useful Life (RUL) estimation

• Experience with Kafka / Kinesis / PubSub and stream processing (Flink, Spark Streaming or similar)

   

We Offer

• Fuel your professional growth with paid online courses, conferences, certifications, English classes, a corporate library, and a leadership program
• Thrive in a culture of trust and cooperation with no time trackers and minimal bureaucracy
• Enjoy 20 business days of paid vacation, plus state holidays to prioritize your well-being
• Experience an open-door culture, transparent communication, and top management at a handshake distance
• Enjoy comfortable office vibes with no open space policy, relaxing sports areas, a spacious bar/kitchen, and more
• Achieve balance with our hybrid/fully remote work model
• Receive fair and competitive compensation
• Fuel your productivity and foster a sense of community with complimentary daily lunches
• Participate in meaningful initiatives supporting Ukraine’s victory
• Take flexible sick leave without burdensome documentation and access parental benefits
• Choose from comprehensive medical insurance or a sports compensation package
• Have fun with regular team-building activities, corporate events and celebrations, and unique initiatives like Week in Lviv

We’re building an intelligent AI agent that doesn’t just answer questions, but reasons, retrieves, understands context, and acts across documents, SQL data, and visual inputs.

If you're excited by rapid experimentation, real users, and pushing LLMs beyond chat - this role is for you.

     What You'll Do

• Design and implement an intelligent chatbot/agent capable of reasoning over documents, structured SQL data, and multimodal inputs
• Fine-tune or integrate LLMs (OpenAI, Ollama, Deepseek, etc.) for contextual Q&A
• Develop text analytics pipelines (sentiment analysis, classification, topic modeling)
• Design image processing systems for tagging, feature extraction
• Experiment rapidly with new ideas, validate hypotheses
• Support and work with Hadoop clusters for big data processing.
  
  What We're Looking For
• 2+ years of experience as ML/AI engineering or in a similar role
• Bachelor’s degree in Computer Science, or a related field
• Strong proficiency in Python, and solid experience with ML frameworks
• Deep understanding of NLP and CV fundamentals
• Hands-on experience with AI/ML projects deployed in production
• Experience integrating LLMs, retrieval pipelines in multi-step reasoning agents
• Practical experience in text/image processing
  
  Nice to Have
• Knowledge of OCR, captioning
• Experience with prompt engineering
• Experience in predictive modeling

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Production ML Researcher / Data Engineer to take ownership of the data and ML infrastructure behind our current and future computer vision products.

Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

We especially value engineers with strong analytical thinking and proven problem-solving skills — such as participation in mathematical/programming olympiads or experience contributing to open-source projects.
 

Key Responsibilities

• Build production-grade data collection, labeling, and dataset curation pipelines for CV models
• Design workflows for annotation, quality control, and continuous dataset improvement
• Set up model deployment, experiment tracking, versioning, and monitoring
• Support training and inference pipelines in production environments
• Run experiments with different CV models and approaches, evaluate results, and improve system performance

• Help define the architecture and engineering standards for ML infrastructure across product lines

   

  Requirements:

• Strong background in Machine Learning / Computer Vision
• Hands-on experience building data pipelines for ML systems
• Experience organizing labeling workflows and maintaining dataset quality
• Practical knowledge of model deployment, MLOps, and production ML
• Strong Python skills and experience with PyTorch or similar ML frameworks
• Ability to move between research and engineering: experiment, evaluate, deploy, improve
• Strong analytical thinking and solid foundations in linear algebra, probability, and statistics

• English: B2 or higher (working w/ international team members)

   

  Nice to Have

• Experience in DefenseTech, SigInt, or embedded systems
• Understanding of RF-related data or sensor-driven ML systems
• Experience with real-time or low-latency ML pipelines
• Background in active learning, human-in-the-loop labeling, or continuous retraining workflows

• Open-source contributions or strong олимпиадное / competitive programming background

   

  We Offer

• Meaningful and high-impact work in the AIR defense domain
• Practical R&D environment with real autonomy
• Direct influence on technical decisions and the product direction
• Work in an experienced senior engineering team
• Сlear, fast, senior-to-senior communication with a minimum number of team meetings
• Office in the center of Kyiv (available for onsite work when required)
• Full-time position
• Standard business hours; some tasks may require involvement outside the usual schedule (testing, critical updates)

We’re building something very different at PRAI.

This is not a typical job.

This is a chance to work at the edge of AI, media, and attention economy.

About PRAI

PRAI is an AI platform transforming PR and communications.

We’re building AI Employees — systems that:

• generate content

• run outreach

• replace slow, manual work

Now we’re scaling into AI video content — fast, viral, performance-driven.

If you understand where media is going — you’ll get it.

What you’ll do

• Create viral short-form videos (TikTok / Reels / Shorts)

• Use AI tools:

• Sora (or similar)

• Runway / Pika / Kling

• Build clickbait hooks (first 1–3 seconds = everything)

• Turn ideas into high-converting video flows

• Produce content daily (speed matters more than perfection)

• Test → iterate → scale what works

Work format

• Fully remote

• Full-time

• Startup speed (fast, intense, no hand-holding)

• Performance-driven environment

We use Hubstaff for time tracking — we’re focused on output and accountability.

Who we’re looking for

You’re not “just editing videos”.

You:

• understand attention and psychology

• know what makes content go viral

• can produce a lot, not just “perfect”

• move fast and don’t overthink

Mindset

• speed > perfection

• execution > talking

• no excuses, just results

• test aggressively, drop what doesn’t work

Test task

We may ask you to create:

3 short AI-generated videos

→ strong hook

→ clear flow

→ engagement-focused

Why people want to work with us

• You work with cutting-edge AI tools before most people even understand them

• You build real output, not fake busy work

• You move fast and actually see results

• You’re not stuck in corporate nonsense — only execution matters

• If you’re good, you grow very fast with us

In one sentence

We’re building AI-driven content that people can’t scroll past.

APPLY IF:

You feel this is your environment.

Company website:
prai.us

📍 Kyiv — office-based role (offline only)
💰 $1500 + bonuses
🕙 10:00 – 19:00

🔥 Office role in Kyiv (not remote)

We are looking for a German Language Trainer to work full-time from our Kyiv office with a team involved in tech and international projects.
 

👉 This is a fully offline position (office in Kyiv)

💡 About the role

You will work closely with IT / tech specialists and support teams, helping them improve their German communication for work with international clients.
 

🚀 Responsibilities

• Teach German to employees (tech / support teams) 🇩🇪
• Focus on business & IT communication
• Prepare employees for client interaction
• Adapt materials to real work scenarios
• Track progress and provide feedback
   

🎯 Requirements

• German level C1+
• Experience in teaching or corporate training
• Understanding of business / IT communication
• Strong communication skills
• Ability to explain clearly and practically
   

💸 What we offer

• $1500 fixed + bonuses
• Full-time office role in Kyiv
• Work with tech-oriented team
• Stable environment + growth
   

⚠️ Location

📍 Kyiv — office work only
👉 We consider only candidates ready for offline work
 

🚀 Why this role stands out

• Work with IT / tech environment
• Real communication, not academic theory
• Direct impact on team performance
• Long-term стабильность

#vacancy AI Engineer Fintech, remote

Salary: $4000–6000

Requirements:

 • Hands-on experience with LLMs (OpenAI, Claude, LLaMA, or similar)

 • Experience building RAG systems (knowledge bases, embeddings, retrieval)

 • Proven experience delivering AI solutions in production

 • Strong Python skills (FastAPI, async programming, API integrations)

 • Experience integrating AI with databases (PostgreSQL)

 • Experience with message queues (RabbitMQ)

 • Understanding of real-time system architecture

 • Experience with ASR (speech-to-text) and TTS (text-to-speech)

 • Understanding of voice/chat AI pipeline architecture

 • Experience working with APIs and microservices architecture

 • Experience with high-load systems

 • 3+ years of relevant experience

 • Ability to work with business logic and real customer data

Nice to have:

 • Experience building voice bots (inbound / outbound)

 • Background in call centers, fintech, or collections

 • Experience with WebRTC / streaming

 • Docker / Kubernetes experience

 • Experience in call analysis (agent performance evaluation, script compliance)

Responsibilities:

 • Develop AI chat solutions working with real customer data (CRM, history, statuses)

 • Build and maintain RAG systems based on company knowledge bases

 • Develop voice AI bots (inbound and outbound calls)

 • Integrate AI solutions with internal systems (CRM, ERP, APIs)

 • Implement dialogue logic based on business scripts and protocols

 • Analyze calls: transcription, quality assessment, and script deviation detection

 • Automate call center operations and improve agent efficiency

 • Optimize latency and stability of AI solutions in real-time environments

 • Work with large-scale data (calls, chats, customer history)

 • Build and scale internal AI services

 • Collaborate with backend and DevOps teams to integrate AI into products

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour

We are looking for an AI/ML Engineer to join our outsourcing team, working on projects within different domains. The role involves contributing to AI/ML solutions that enhance process automation, data processing, and analytics.
 

Responsibilities

• Maintain and enhance existing AI/ML solutions used in automation workflows.
• Design, develop, and deploy new AI/ML models to meet project needs and improve operational efficiency.
• Monitor advancements in the AI/ML field, evaluate new techniques, and provide recommendations on potential improvements.
• Analyze infrastructure and model-related costs, propose optimizations, and assist in forecasting costs for new implementations.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Collaborate with cross-functional teams to ensure smooth integration of AI/ML solutions.
• Document models, processes, and system architecture in Confluence to support maintainability and knowledge transfer.
• Participate in model monitoring and performance evaluation to ensure accuracy, reliability, and alignment with business requirements.

Requirements

• 2+ years of experience in AI/ML or a related field.
• Experience building ML models for batch and/or real-time processing, or experience integrating LLM-based solutions.
• Strong knowledge of Python or JavaScript for machine learning and data science.
• Experience with Jupyter Notebooks, NumPy/SciPy, pandas, scikit-learn, TensorFlow/PyTorch, or GPT-model integrations.
• Understanding of NLP and Computer Vision techniques (traditional and deep learning).
• Good understanding of data engineering, database management, and cloud-based ML infrastructure.
• Experience with AWS services (Athena, S3, Lambda, Kinesis, Glue, SageMaker, Data Pipelines, Data Stores).
• Familiarity with CI/CD practices.
• Ability to optimize algorithms for real-time or low-latency environments.
• Strong knowledge of model training, optimization, and selecting the best approaches for specific use cases.
• Experience deploying AI models to production environments is a plus.

What We Offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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