Empat

This role is ideal for an experienced Python engineer who is confident working with AI-driven workflows, building reliable backend services, and contributing to modern LLM-powered systems. You will focus on developing MCP-based integrations and backend APIs while collaborating with a senior-level engineering team.

Your responsibilities will include:

• Build and maintain Python-based MCP services and integrations.
• Develop backend APIs for LLM-powered products using FastAPI or FastMCP.
• Work on prompting, tool integration, reliability, and production readiness of AI workflows.
• Design, build, and maintain scalable and reliable backend systems.
• Collaborate with cross-functional teams to deliver high-quality technical solutions.
• Participate in improving system performance, stability, and maintainability.
• Expand into modern LLM infrastructure and evaluation practices as needed.

What we expect from you:

• English level B2 or higher for effective technical communication.
• Strong hands-on experience with Python.
• Solid experience with MCP and prompting concepts.
• Proven backend engineering experience with FastAPI or similar frameworks.
• Experience designing and maintaining APIs and backend services.
• Proficiency with Git and standard version control workflows.
• Strong problem-solving skills and ability to work independently.
• Experience working in distributed teams within the EU time zone.
   

Nice to Have:

• Exposure to Kubernetes.
• Understanding of embeddings and evaluation (evals) workflows.
• Familiarity with LLM inference concepts such as temperature, top_p, guardrails, and bias mitigation.
• Experience working with AI-driven or LLM-based systems.
• Experience with production-grade infrastructure and scalable services.

What we offer:

• Interesting projects and challenges that accelerate professional and personal growth.
• Long-term project.
• 15 paid vacation days per year.
• 5 paid sick leave days per year.
• Flexible, results-focused schedule; hybrid work or remote (office with city view + work from home).
• Comfortable, stylish office in Kyiv with generator/battery backup.
• Equal salary, medical insurance, trial period.
• Team-building events: parties, online activities, picnics, and more.
• Opportunity to work in a Top-employee company (DOU 2025).

We are looking for a Node.js Engineer to join a fast-growing startup building AI-driven automation solutions for the insurance industry.
US-based early-stage startup in the insurance domain operates as an aggregator platform that helps users find optimal insurance solutions across providers, while also developing a loss prevention direction.
The product is not legacy - it has been built from scratch by the CTO and is now entering a scaling phase. A key focus area is AI and automation - building workflows, integrating AI agents, and optimizing processes across the platform.

Location: Remote 
Working Hours: Partial overlap with US (Boston) - 3–4 hours
Your responsibilities will include:

• Solve practical backend and product challenges in a fast-paced startup environment.
• Build and maintain backend services using Node.js.
• Design and implement workflows, automation, and AI-driven processes.
• Work with integrations, APIs, and data pipelines across multiple external providers.
• Collaborate closely with the CTO and small product team.
• Contribute to feature development and product scaling.
• Improve and maintain code quality, including basic test coverage.
• Participate in building systems that optimize insurance selection and risk prevention.

What we expect from you:

• 10+ years of professional software engineering experience.
• English: Upper-Intermediate (B2+) or higher.
• Strong experience with Node.js and backend development.
• Experience working with automation tools, workflows, or AI-related features (agents, LLMs, etc.).
• Good understanding of APIs, integrations, and data handling.
• Ability to work independently in a startup environment with minimal supervision.
• Strong problem-solving skills and proactive mindset.
• Basic understanding of testing (unit/integration).
• Comfort working without strict processes or detailed specifications.

Nice to Have:

• Basic knowledge of React.
• Previous startup experience.
• Experience working with AI-powered products or LLMs.
• Familiarity with building or optimizing automation processes.

We offer:

• Work on an early-stage product with real impact in the insurance domain.
• Opportunity to shape product and technical decisions alongside the CTO.
• Hands-on experience with AI, automation, and modern backend systems.
• Fast-paced environment with minimal bureaucracy.
• 100% remote work.

We are a custom software development company, growing fast in an extremely competitive market. We managed to grow 2.5x every year in the past few years and we plan to keep this trajectory.

We already are in TOP 2% of our segment, so your job won’t be easy as most of the processes have been developed or executed to their max. We spent the last year aggressively growing our lead pipelines at scale and it is now time to stabilise them and capture the revenue.

Your responsibilities will include:

• Build a predictable, capital-efficient lead acquisition system that:

  • Scales across multiple channels

  • Survives market cycles

  • Produces decision-grade data for the CEO and leadership team

  • Ensures transparency on multi-department target execution, task management, and KPI oversight

• Work day-to-day with channel leads to ensure focus on the right goals and targets (inbound, partnerships, communities, events)

• Own 100% of lead acquisition budgets across paid channels, organic & content, partnerships, events & communities, and experiments/emerging channels

• Perform deep channel and funnel analysis to trace leads, opportunities, revenue, conversions, and delivery impact

• Design and own KPI systems across Marketing, Business Development, Partnerships, and Events & Communities

• Align with cross-functional leadership: COO, CDO, Head of Sales

• Represent the company at high-signal events to build partnerships, access data, and influence deal flow

• Manage CRM and databases (HubSpot, Notion)

What we expect from you:

• Proven experience in B2B sales or service businesses with highly tailored offerings

• Multi-channel lead acquisition and growth/commercial leadership experience

• Strong analytical skills and comfort with messy data; ability to design KPI systems from scratch

• Commercial judgment: understands sales cycles without needing to sell; knows when growth is unhealthy

• Executive maturity: can constructively disagree with CEO, align strong personalities

• Stress resistance: able to perform in a fast-paced, feedback-driven environment

• Titles you may have held: Head of Growth, Commercial Director, Revenue Operations Lead, Head of Sales, CBDO

We offer:

• Interesting projects and challenges that accelerate professional and personal growth

• Work with a creative, proactive, and empathic team

• Flexible, results-focused schedule; hybrid work (office with city view + work from home)

• Comfortable, stylish office in Kyiv with generator/battery backup 🇺🇦

• Minimal bureaucracy, regular feedback, and team support

• Equal salary, medical insurance, trial period 

• Team-building events: parties, online activities, picnics, and more

• Opportunity to work in a Top-employee company (DOU 2025)

An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results. 

We’re looking for a Senior AI Engineer for one of our clients — an AI consulting group that builds production-grade systems for companies ready to operationalize artificial intelligence across their business. This is a hands-on role for someone who doesn’t just experiment with AI, but has built, deployed, and optimized real AI systems in complex, production environments.

This role is for someone who takes full ownership of AI systems — from architecture to performance. You’ll work at the intersection of LLMs, distributed data processing, and backend systems, building scalable AI pipelines and knowledge systems in a high-impact environment where performance, reliability, and flexibility (including airgapped deployments) matter.

Your responsibilities will include:

• Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing;

• Implement horizontally scalable LLM-powered extraction workflows across thousands of entities;

• Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem);

• Design and implement entity resolution and cross-referencing systems with confidence scoring;
  Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization;

• Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking);

• Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM);

• Optimize LLM usage for cost, latency, and reliability in production environments;

• Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems;

• Ensure observability, debugging, and performance monitoring across distributed AI systems;

• Package and deploy systems using Docker (docker-compose, containerized environments);

• Collaborate directly with client teams on integrations, validation, and production rollout.
  
  

What we expect from you:

• 5–8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure;

• Expert-level Python;

• Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable);

• Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction);

• Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar);

• Strong understanding of distributed systems, parallel processing, and large-scale data pipelines;

• Solid SQL and data modeling fundamentals;

• Experience with Docker and containerized deployments;

• Experience with cloud platforms (GCP preferred, AWS/Azure acceptable);

• Strong backend/system design mindset (performance, scalability, reliability);

• Ability to work independently and take ownership without micromanagement;

• Strong problem-solving skills in complex, ambiguous environments;

• English level: B2+ (C1 preferred);

• Availability to overlap with US business hours.
  
  

Nice to have:

• Working experience with Go (for API/service layer contributions);

• Experience with local LLM inference (Ollama, vLLM, TensorRT-LLM);

• Experience deploying systems in airgapped or restricted environments;

• Background in defense, aerospace, or complex enterprise systems;

• Familiarity with MBSE / SysML tooling and model-based data (XMI, Cameo, etc.);

• Experience with document parsing pipelines (Docling, Unstructured, etc.);

• Experience with orchestration tools (Airflow, Dagster, Prefect).
  
  

We offer:

• Four-month full-time contract engagement;

• Remote work with overlap in US business hours;

• High-impact project with direct influence on production AI systems;

• Close collaboration with client’s product and engineering teams;

• Opportunity to build core infrastructure for real-world AI applications — not prototypes.

Build data-intensive systems that actually scale. Own distributed processing, not just services. Shape how large-scale data flows power products.

We’re looking for a Senior Scala / Data Engineer for one of our clients — a company operating in a data-heavy, distributed systems environment. This is a hands-on role for someone with a strong Scala background who has built and optimized high-performance data systems in production.

This role is for someone who takes full ownership of distributed data systems — from architecture to performance. You’ll work on complex, large-scale data processing challenges where efficiency, scalability, and fault tolerance are critical.

Your responsibilities will include:

• Build and optimize distributed data processing systems using Scala;

• Design and implement high-throughput, low-latency data pipelines;

• Work with big data frameworks (e.g., Spark) and distributed architectures;

• Develop and maintain scalable backend services for data-intensive workloads;

• Optimize performance of data processing jobs and infrastructure;

• Ensure fault tolerance and resilience of distributed systems;

• Implement monitoring, logging, and observability for data pipelines;

• Collaborate with engineering teams to design scalable system architectures;

• Contribute to cross-functional backend and data engineering efforts;

• Ensure high standards of code quality, performance, and reliability.
  
  

What we expect from you:

• Strong experience with Scala in production environments;

• Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems;

• Strong understanding of distributed systems and parallel processing;

• Experience with big data technologies (Spark, Kafka, etc.);

• Strong knowledge of JVM ecosystem and performance tuning;

• Experience building high-load, scalable systems;

• Strong system design and architectural thinking;

• Ability to work independently and take ownership;

• Strong problem-solving skills in complex, distributed environments;

• English level: B2+ (C1 preferred);

• Availability to work in EU timezone.
  
  

Nice to have:

• Experience with functional programming paradigms;

• Experience with cloud infrastructure (AWS / GCP);

• Experience with stream processing frameworks (Flink, Akka Streams);

• Background in low-latency or real-time systems;

• Experience in niche or hard-to-hire tech domains.
  
  

We offer:

• Opportunity to work in a Top-employee company (DOU 2025);

• Interesting projects and challenges that accelerate professional and personal growth;

• Work with a creative, proactive, and empathic team;

• Comfortable, stylish office in Kyiv with generator/battery backup;

• Minimal bureaucracy, regular feedback, and team support;

• Team-building events: parties, online activities, picnics, and more.

This role is ideal for an experienced Python engineer who is confident working with AI-driven workflows, building reliable backend services, and contributing to modern LLM-powered systems. You will focus on developing MCP-based integrations and backend APIs while collaborating with a senior-level engineering team.

We're looking for a motivated and hands-on team member to help scale our inbound marketing efforts. This role offers an opportunity to take a more strategic and analytical approach to marketing - diving into performance analysis, exploring new tools, and planning growth initiatives. At the same time, you’ll be getting things done - executing clear, simple, and effective tasks that move the needle.

Key Responsibilities:

• Create and publish case studies across key platforms: Clutch, TechBehemoths, DesignRush, UpCity, GoodFirms, Techreviewer, as well as on the website
• Launch and manage our presence on new platforms: TrustPilot, Capterra, Crunchbase
• Maintain and optimize LinkedIn and Google My Business profiles
• Build a streamlined review generation system ("review farm") for inbound platforms
• Write content for blog posts and case studies for the website and external platforms
• Manage PR activities
• Execute email marketing campaigns
  
  

Requirements:

• Experience with AI tools
• English level: B2 or higher (both written and spoken)
• Experience working in an outsourcing company
• Proactive mindset and ability to multitask
• Basic hands-on understanding of inbound lead platforms (Clutch, TechBehemoths, G2, GoodFirms, etc.)
• Ability to structure and present information clearly and logically
  
  

Nice-to-haves:

• Knowledge of AI tools to improve efficiency
• A good sense of humor
  
  

What We Offer:

• Work at a top-employer company (according to DOU 2025)
• A strong culture built on empathy, trust, openness, and genuine care for employees
• Competitive compensation with regular reviews
• Personal learning budget and access to top HR tools, platforms, and practices
• Team events and regular team-building activities
• Flexible hybrid work model with an office in central Kyiv