Jobs ML / AI

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

🟠 Details: we are looking for a Senior Computer Vision/Machine Learning Engineer to lead the design and development of an AI-powered system for extracting structured spatial data from complex floor plan imagery.

The main goal is to build a production-oriented prototype capable of processing 2D and 3D apartment floor plan images, extracting simplified 2D layouts, detecting rooms and interior spaces, estimating room areas, and generating structured outputs for flooring takeoff calculations.

This is a highly practical, R&D-driven role focused on solving real-world computer vision challenges such as perspective distortion, furniture occlusion, unclear room boundaries, scale estimation, and validation against noisy or inconsistent reference data.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 4+ years of hands-on experience in Computer Vision/Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Technical interview with ML/CV Engineer and PM (about 1 hour).
• Optional take-home task.

🟠 By joining us, you get:

• Real ML/CV work in production — actual pipelines with measurable outcomes for the client.
• Ownership from day one: architectural decisions, direct client communication, no three-level approval chains.
• Open salary ranges in job postings — no “to be discussed at interview”.
• Remote-first with genuinely configured async processes
• Flexible schedule, no time tracking.
• 15 days paid vacation / 5 days paid sick leave.
• 4 paid public holidays (New Year, Christmas, Independence Day, Defenders Day).
• $50/month — 50% reimbursement for sport, massage, therapy, or learning.
• Certification reimbursement and 50% coverage of professional courses.
• Quality work equipment (laptop + accessories).
• Accounting and legal team support.
• AI Talks and tech talks — an internal culture of knowledge sharing.

🟠 Our office in Lviv (Kulparkivska 200a, NatCoworking):

• PlayStation consoles, table tennis, and foosball, open terraces.
• Fridge stocked with drinks.
• A variety of meeting rooms.

We are building an AI-native SaaS platform involving:

• reporting systems,
• scoring engines,
• AI visibility analysis,
• and modular backend architecture.

We are looking for a highly capable senior engineer who can:

• translate detailed specs into production-ready systems,
• work effectively with AI coding tools (Claude Code, Cursor, GPT, etc.),
• establish strong testing and engineering practices,
• and help stabilize and scale the platform architecture.

Requirements

• Strong backend engineering experience
• Python / FastAPI
• PostgreSQL
• Docker
• GitHub workflows
• CI/CD and testing experience
• Comfortable working with evolving product specifications
• Strong systems thinking and debugging ability
• Experience with AI-assisted development workflows

Nice To Have

• AI/LLM infrastructure
• platform architecture
• observability/testing systems
• multi-module SaaS systems

Important

We are NOT looking for:

• junior developers,
• ticket executors,
• or generic AI automation freelancers.

We are looking for someone with strong ownership, operational discipline, and architecture thinking.

Candidates must provide:

• GitHub profile,
• examples of systems they built,
• and explanation of their AI-assisted development workflow.

Location: Remote (Poland / EU)
Duration: Contract until end of year (with potential extension)

We are looking for a Senior Backend Engineer (Golang) with a strong interest or experience in AI and Large Language Models (LLMs) to join a high-impact project. You will play a key role in designing, building, and optimizing backend services that integrate modern AI capabilities.

This is a senior-level position requiring autonomy, ownership, and the ability to contribute to architectural decisions while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Golang
• Build and optimize RESTful APIs for high-performance applications
• Collaborate on system architecture and technical design decisions
• Integrate and work with AI/LLM-based solutions and agents
• Ensure code quality, performance, and reliability

• Work independently with minimal onboarding while aligning with broader project goals

   

  Must-Have Requirements

• Strong proficiency in Golang as a primary programming language
• Extensive experience building and maintaining REST APIs
• Hands-on experience with databases such as PostgreSQL, SAP HANA, or similar
• General understanding of AI concepts, especially Large Language Models (LLMs) and AI agents
• Ability to work independently at a senior level
• Nice-to-Have Skills
• Experience with OpenTelemetry (observability, tracing)

• Familiarity with performance and load testing tools (e.g., Locust)

   

  What We’re Looking For

• A senior engineer who can own features end-to-end
• Someone comfortable with high-level architectural discussions
• Ability to collaborate without needing constant direction
• Strong problem-solving mindset and focus on scalable solutions
• Language Requirements
• Professional proficiency in English
• If you're a backend expert with Golang and an interest in AI/LLMs, this is a great opportunity to work on cutting-edge solutions in a flexible, remote environment.

s a Foundry AI Developer, you will be at the forefront of building the “Enterprise Brain” by architecting intelligent systems that bridge the gap between massive data lakes and actionable AI. Your primary objective is to design, develop, and optimize an agentic ecosystem using Microsoft Fabric, Azure AI Search, and the Model Context Protocol (MCP). You will be responsible for creating the “nervous system” that allows LLMs to interact securely with proprietary data and internal tools while maintaining peak performance and cost efficiency.

Key Responsibilities

1. Unified Knowledge Engineering (Fabric & AI Search)
The Focus: Building the "Enterprise Brain" by linking Microsoft Fabric’s OneLake to Azure AI Search / Foundry IQ.
Key Responsibilities:
Developing Fabric Data Agents that serve as live conduits between structured lakehouse data and the Foundry Hub.
Configuring Azure AI Search as a vector-enabled index to ingest unstructured data from Fabric, enabling "Agentic RAG" where the agent decides when to pull deep historical data vs. real-time telemetry.
Implementing Foundry IQ skills to handle semantic chunking and multimodal embeddings, ensuring the LLM receives highly relevant context.
2. Python-Based MCP Server Architecture
The Focus: Creating a secure "Nervous System" that allows LLMs to act on proprietary systems using the Model Context Protocol (MCP).
Key Responsibilities:
Developing custom MCP Servers in Python (using asyncio and FastAPI) to expose private APIs and local tools as "Functions" that the agent can invoke.
Hub Registration: Registering these servers within the Foundry Hub as persistent connections, allowing multiple AI agents to share the same toolsets securely.
Managing identity and access through Foundry Control Plane, ensuring that agent "tool-use" follows enterprise security policies (OAuth/Managed Identities).
3. Model Orchestration & Token Optimization
The Focus: Selecting the "Right Model for the Right Task" to maximize performance while minimizing token burn.
Key Responsibilities:
LLM Evaluation: Using Foundry’s Evaluation Dashboard to run "LLM-as-a-judge" benchmarks, comparing models (e.g., GPT-4o for complex reasoning vs. Phi-3 or Llama 3 for extraction) to find the most cost-effective fit for specific sub-tasks.
Token Efficiency: Designing Python-based "Routing Logic" that sends simple queries to small language models (SLMs) and reserves expensive LLMs for complex orchestration.
Observability: Monitoring "Token Burn" per agent run in the Foundry portal to identify prompt bloat and optimize system instructions for brevity without losing accuracy.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: We’re looking for an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI.  You’ll own initiatives end-to-end — from discovery and architecture decisions to production delivery — and play a key role in shaping how AI is used across the company.

You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.

In this role, you will:

• Design and build RAG and automation workflows inside our VPC environment.
• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
• Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.
• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
• Own initiatives end-to-end: scope → design → ship → measure → iterate.

It’s all about you:

• 5+ years of production experience with Python (services, async, API integrations, clean and testable code).
• Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.
• Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.
• Prompt engineering + structured outputs + tool/function calling.
• Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.
• Agentic patterns: ReAct, function-calling loops, fallbacks.
• Vector databases: pgvector, Pinecone.
• Workflow orchestration: n8n, Airflow, or custom orchestration systems.
• Observability: token-spend tracing, latency monitoring, model routing.
• Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently.
• CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.
• Basic SQL skills for analytical queries and metrics dashboards.
• Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production
• B2 English level

Would be a plus:

• Real REST integrations with 2–3+ APIs
• Experience with workflow orchestration tools.
• Prompt evaluation tooling such as  LangSmith is nice to have
• Experience with Docker
• RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process:

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

We are seeking an experienced AI Edge Device Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and optimizing AI algorithms and models for deployment on edge devices. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. If you are passionate about pushing the boundaries of AI at the edge and thrive in a collaborative environment, we encourage you to apply.
 

About:

Our client is developing electro-mechanical devices for dairy farms, pulsators and automatic detachers. The solution is leading in the industry with advanced cow monitoring solutions based on activity and rumination sensors.

Responsibilities:

• Designing, developing, and optimizing computer vision pipelines for deployment on edge devices;
• Cross-compiling solutions for various CPU/NPU/VPU types. Perform performance analysis and optimization to ensure real-time processing capabilities on edge devices;

• You will face real-life challenges and complexities emerging from working closely with our AI researchers to provide market leading products.

   

Requirements:

• 5+ years experience in Python, C/C++;
• Hands-on experience with GStreamer or DeepStream;
• Experience with TensorRT, ONNX;
• Experience with processing multiple video streams;
• Hand-on experience with ML accelerators, such as: Nvidia Jetson, Google Coral;
• Proficient in Linux;
• Proficient in Git version control;
• Bachelor's Degree in Computer Engineering, Computer Science or related fields;

• At least Upper-Intermediate English level.

   

Would be a plus:

• Understanding of concepts in signal processing, machine learning and computer vision;
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch;
• Neural network models quantization and pruning;
• Familiarity with building Docker images (Docker files);
• Understanding of CI/CD processes for production code, unit tests, and regression testing;

• Knowledge of CUDA.

   

We offer:

Professional Development: Free English courses, free access to the corporate Udemy account, corporate digital library subscription, possibility to participate and share your knowledge as a speaker in our internal meetups.

Benefits: 100% paid vacation and sick leaves, opportunity to accumulate part of the own salary in the company in dollar terms.

We're looking for a creative and detail-oriented AI Creator who wants to create video content using AI and come up with scripts for videos that go viral. 

Who are we?

SonderAds is a marketing team that creates viral commercials and develops its own applications. We focus on short videos that grab attention from the very first seconds and help our marketing team achieve outstanding results.

What we expect from you:

• You have at least 6 months of experience as an AI Creator
• You have experience generating video content using AI (Freepik AI, NanoBanana, Veo, Runway, Pika, Kling etc.)
• You are confident with prompt engineering (ChatGPT, Gemini) and know how to achieve high-quality results
• You keep up with the latest AI developments, test tools, and implement the best ones into your work
• Understanding retention hooks, the first 3 seconds of CTR-first, and the performance structure of videos
• You understand trends and the mechanics of viral content
• You quickly test hypotheses and iterate on creative ideas
• You write clear and compelling scripts
• You approach tasks responsibly and handle revisions calmly

Nice to have:

• Experience in the following sectors: Utilities, AI-driven apps, Lifestyle & Wellness, Dating / Social

• Experience editing videos in CapCut / Premiere / After Effects after AI-generated content

   

  Your tasks:

• Help shape and develop the AI direction within the team
• Generate ideas and hypotheses for advertising creatives
• Turn ideas into scripts with a strong hook and clear structure
• Create video content using AI tools 
• Analyze the market and competitors’ approaches, and adapt the best solutions to our needs
• Work with prompts: create, optimize, and structure them

• Set clear and understandable technical specifications for the motion design team 

   

  We offer:

• Paid internship (1 month) — during this time, you will undergo training with practical tasks, get to know the team, and understand whether the format and tasks suit you.
• Remote work. We work quickly, collaboratively, and with a focus on results.
• Interesting projects with strong growth opportunities.
• Schedule: 10:00–19:00 Cyprus time.
• Paid vacation (20 working days) and sick leave.
• 3-month probation period.
• Fixed take-home pay starting from 1,000 USD (depending on your expertise).
• We follow the Cyprus public holiday calendar.
• If you want to turn your love for trends and creativity into a job that brings you joy—apply now! https://career.sonderads.com/vacancy/ai-creator

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

We're hiring a Senior Software Engineer to join us for a long-term engagement with a fast-growing UK travel tech client. The role focuses on owning and evolving their production document AI pipeline (OCR plus ML inference on passport and ID documents, CPU only deployment, no GPU).

This is hands-on production engineering, not research. You'll be improving OCR accuracy, optimizing CPU inference (INT8 quantization, ONNX Runtime, batching), refactoring pipeline complexity, and improving observability of a system serving enterprise clients at scale.

What you'll do:

• Take ownership of the existing OCR and document understanding pipeline in Python
• Optimize ML inference for CPU production (ONNX Runtime, quantization, batching, kernel tuning)
• Improve OCR accuracy, latency, throughput, and memory efficiency
• Refactor architectural complexity and reduce technical debt
• Work across ML systems, backend services, APIs, and data pipelines
• Help shape architectural decisions as the platform scales

Required:

• 5 plus years of professional Python software engineering
• Strong experience with OCR and document processing pipelines
• Familiarity with LayoutLMv3, Doctr, PaddleOCR, EasyOCR, Donut, or DocFormer
• Production ML systems experience (not just notebook experimentation)
• ONNX Runtime, quantization, TorchScript, or related CPU inference optimization
• Strong understanding of PDFs, image preprocessing, bounding boxes, and page segmentation
• Experience with systems serving external customers at scale

Nice to have:

• HuggingFace Transformers production experience
• Enterprise SaaS or aviation/travel tech background
• MLflow, Vertex AI, or similar ML operations tooling
• Distributed systems and backend API design experience

Engagement:

• Fully remote
• Long-term (6 plus months) with potential to expand engineering ownership over time
• Part-time (25-30 hrs/week) or full-time (35-40 hrs/week), depending on candidate availability
• Flexible timezone (engagement requires some overlap with UK working hours)

How to apply:
Send a short note covering relevant OCR / document AI work, production ML systems you've shipped, CPU inference optimization experience, GitHub or LinkedIn, current availability, and timezone.

Are you passionate about building intelligent systems that can think, act, and adapt? At Sigma Software, we work on innovative AI-driven solutions that push the boundaries of technology. In this role, you will design, build, and optimize cutting-edge AI deployment systems — from autonomous agents to complex orchestration layers — for both greenfield products and established platforms.

We are seeking a highly skilled AI Deployment Engineer to lead the implementation of advanced AI solutions in operational environments. This role requires strong customer-facing presence, exceptional advisory skills, and the ability to design and deploy AI systems that deliver measurable organizational impact.

Requirements

• Proven experience in AI/ML deployment and system engineering.
• Strong proficiency in AI frameworks.
• Expertise in large language models, retrieval-augmented generation, and AI agents.

• Excellent communication and stakeholder management skills.

   

  Responsibilities

• Collaborate directly with customers, providing strategic guidance and technical expertise.
• Own the vision for AI operations implementation, building end-to-end workflows and taking them to production.
• Translate complex business challenges into actionable technical plans.
• Rapidly prototype AI solutions to demonstrate possibilities to clients.
• Engineer production-grade AI solutions with deep knowledge of AI tooling, architecture, and deployment.
• Manage stakeholder alignment, proactively escalating issues and requesting support when necessary.
• Design and build LLM workflows, RAG pipelines, agentic systems, and custom data pipelines.

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

.  What You’ll Do:

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

.  What We’re Looking For:

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

• English: Upper-intermediate or higher.

   

  What We Offer:

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

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

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

Шукаємо AI/ML Engineer, який вміє перетворювати ідеї у розумних агентів, що мислять, запам’ятовують і діють автономно. Якщо тобі цікаво будувати системи, які мислять і навчаються самостійно, — саме час реалізувати свої ідеї з нами

InOvation — рекрутингова агенція повного циклу, що допомагає знайти ідеальний метч між компанією та спеціалістом. Ми віримо, що робота може бути джерелом натхнення, підтримки та розвитку. Коли збігаються цінності та цілі — з’являється гармонія, яка рухає і людину, і бізнес уперед

Наш Клієнт

Компанія -  де кожен співробітник може не тільки ефективно працювати, але й розвиватися, отримуючи підтримку та цінуючи власний баланс між роботою та особистим життям. Де вірять в силу кайдзен — постійне вдосконалення, а також у командну роботу, де нові рішення приносять унікальний досвід та сприяють особистісному росту

Команда, що створює продукти на перетині AI, Automation і Data, розвиваючи рішення для інтелектуальної взаємодії між людьми та системами. Вони будують середовище, де експерименти з новими архітектурами, моделями та підходами — це частина щоденної роботи
 

Основні обов’язки

• Розробка AI-агентів із довготривалою пам’яттю, контекстом і можливістю автономної дії
• Інтеграція агентів із зовнішніми API, базами даних та внутрішніми системами
• Побудова RAG (Retrieval-Augmented Generation) архітектур для роботи з великими обсягами даних
• Розробка компонентів для планування, reasoning, прийняття рішень і самонавчання
• Оптимізація продуктивності моделей (latency, cost, context size)
• Взаємодія з командами Data Science та Backend для побудови спільних AI-сервісів
• Використання LLM API (OpenAI, Anthropic, Mistral) або власних fine-tuned моделей
• Моніторинг роботи агентів, логування та побудова метрик ефективності

Що важливо для цієї ролі:

• 3+ роки комерційного досвіду у Python, TypeScript або іншій мові для побудови AI/ML-систем
• Практичний досвід роботи з LLM API, LangChain, Llama Index або подібними фреймворками
• Розуміння принципів RAG, vector databases (Pinecone, Chroma, Weaviate)
• Досвід інтеграції моделей у продакшн через REST/gRPC, побудови процесів обробки чи агентних систем
• Вміння мислити як інженер, але діяти як дослідник — тестувати, вимірювати, оптимізувати
• Системне мислення та аналітичний підхід — розуміння зв’язків між даними, процесами та бізнес-результатами
• Орієнтація на вдосконалення та командну ефективність — готовність покращувати процеси, працювати узгоджено й результативно

Переваги роботодавця:

• Remote-first — працюй звідки хочеш
• Professional growth — компенсація навчання, курсів, конференцій
• Benefit Café: англійська, спорт, психологічна підтримка
• AI Sandbox — доступ до інструментів, моделей і експериментального середовища
• Медстраховка та підтримка здорового балансу між роботою і життям

Frontline Robotics — українська defence tech компанія, що займається розробкою та виробництвом роботизованих систем для Сил безпеки та оборони України.

Наша місія — створити інтегровану роботизовану екосистему для наступу й оборони.
Ми сформували досвідчену та злагоджену команду та шукаємо — AI Solutions Engineer в IT відділ

Ми щиро вдячні ветеранам і ветеранкам за службу та активно розглядаємо ваші відгукам на вакансії.

Обов'язки:

• Process Mapping & Збір вимог: "Зняття" бізнес-процесів у різних відділах (R&D, Логістика, HR, Фінанси). Проведення інтерв'ю зі стейкхолдерами, виявлення "вузьких місць", збір вимог та уточнення неочевидних нюансів перед початком розробки.
   
• Технічна реалізація (Development): Розробка та налаштування AI-агентів. Перетворення розмитих бізнес-потреб на чітку технічну архітектуру та працюючий код.
   
• Пілотування та масштабування (Piloting & Scaling): Створення MVP (мінімально життєздатних продуктів) для тестування нових AI-інструментів на невеликих групах. Вимірювання результатів, виправлення помилок та подальший rollout успішних рішень на всю компанію.
   
• Розбудова AI-інфраструктури (Governance): Співпраця з IT-відділом для розгортання локальних 
• AI-моделей на власних серверах компанії. Технічне забезпечення політик безпеки, конфіденційності даних та комплаєнсу.
   
• Оркестрація та інтеграції: Налаштування безшовних зв'язків між нашими поточними системами (ERP, CRM, комунікаційні платформи) за допомогою інструментів автоматизації (n8n тощо).

Що ми очікуємо:

• Mindset: Здатність бачити картину цілком. Ви розумієте, що AI — це не просто "прикольна технологія", а інструмент для вирішення конкретних бізнес-проблем.
   
• Комунікація (Business-to-Tech translation): Вміння перекладати складні AI-концепції на зрозумілу мову для користувачів, а хаотичні побажання користувачів — на чіткі ТЗ для себе та IT-відділу.
   
• Технічний стек: Впевнене володіння Python. Досвід роботи з фреймворками для створення агентів (LangChain, CrewAI, AutoGen).
   
• Досвід з LLM: Практика розгортання та оптимізації локальних моделей (Llama, Mistral, Ollama), а також роботи з API хмарних рішень (Claude, Gemini, OpenAI).
   
• Інфраструктура: Базове розуміння DevOps-процесів, Docker, Linux. Досвід роботи з системами оркестрації (n8n, Make).
   
• Управління проєктами: Здатність самостійно вести проєкт від етапу "аудиту процесу" до "успішного впровадження та навчання команди".
   
• Розуміння принципів написання коду та логіки інтеграцій (Python, робота з API). Глибокі навички розробника не обов'язкові — важливіше розуміти, як це працює, і вміти зібрати рішення.

Буде перевагою:
 

• Розуміння принципів побудови RAG (Retrieval-Augmented Generation) та роботи з векторними базами даних.
   
• Пет-проєкт, зроблений з нуля. Нас найбільше цікавить досвід, де ви самі знайшли проблему (бізнесову або власну), придумали для неї рішення і довели його до робочого продукту. 
• Покажіть, що ви вмієте проходити шлях «проблема → ідея → працюючий результат» без зовнішнього технічного завдання.
   
• Досвід роботи в ролі Business Analyst або Project Manager до переходу в AI-розробку.
   
• Досвід роботи в defence tech, hardware-стартапах або на виробничих підприємствах.

Що ми пропонуємо:
 

• Офіційне працевлаштування та бронювання
• 24 календарні дні відпустки, лікарняні
• Додаткова відпустка 14 днів для ветеранів
• Графік роботи 9:00–18:00 або 10:00–19:00
• Офіс біля метро (правий берег Києва)
• Своєчасна виплата заробітної плати
• Можливості для навчання та професійного розвитку
• Роботу над складними інженерними задачами та реальними роботизованими системами
• Можливість отримувати прямий фідбек від користувачів на фронті
• Роботу в драйвовій команді та відкриту робочу культуру
• Реальний внесок у оборону України

Frontline Robotics — це місце, де інженери будують роботизовану лінію фронту разом із сильною командою.

Роби роботів разом із нами!

Щоб долучитись до команди — надішліть нам своє резюме