Jobs ML / AI

We are helping to find an AI Automation Engineer for our client (startup — A performance marketing and traffic arbitrage team focused on scaling marketing campaigns using AI automation).

For this role, we’re looking for someone with 3+ years of continuous experience with AI products (e.g., AI agents) that have been released to production.

The company is creating an AI product and you can take part in its development.
 

Key Responsibilities:
 

• Develop and maintain AI agents capable of task execution (not just RAG/chatbots).
• Scale AI solutions from initial R&D to a stable production environment.
• Integrate LLMs (GPT, Gemini) with external tools like Jira, Slack, and advertising APIs.
• Optimize agent decision-making logic and error handling for live use.
  
  Technical Requirements:
   
  • 3+ years of professional experience in AI, ML, or Data Science.
  • Production experience: You must have released at least one AI agent-based system to production (real-world users/use cases).
  • Strong Python skills: Deep understanding of the Python ecosystem as the primary language for AI.
  • LLM & Agent Frameworks: Hands-on experience with LangChain, CrewAI, or similar, focusing on tool-calling and planning.
  • Engineering Basics: Solid experience with Docker, CI/CD, and cloud infrastructure (AWS) to ensure system reliability.
    
    Preferred Qualifications:
     
    • Experience with marketing or traffic arbitrage data.
    • Familiarity with Google Ads or Meta Ads APIs.
    • Basic knowledge of React (to better coordinate with frontend tasks).
      
      Location: Remote Ukraine, Hybrid (Warsaw) | Full-time
      Contract Duration: Long-term

EJAW is a software development and art creation agency that delivers services to game developers, media companies and other organizations alike around the world since 2010.

We are looking for an AI Engineer who will develop and implement internal AI-driven tools to automate processes, increase team efficiency, and integrate modern AI solutions into the company’s workflows and products.

Responsibilities

• Develop internal AI utilities and tools for optimizing and automating workflows.
• Integrate AI solutions into existing company processes and tools.
• Build prototypes and MVPs to test and validate new AI approaches.
• Maintain, improve, and support existing AI tools already used within the company.
• Collaborate with engineering, analytics, and business teams to identify tasks that can be optimized with AI.

• Document implemented solutions and prepare training materials for internal users.

   

Who We Are Looking For

• Experience building applications and services from scratch, including architectural design.
• Understanding of LLMs, prompt engineering, context windows, and model limitations.
• Experience integrating AI/LLM models via API (OpenAI, Anthropic, local models, RAG).
• Ability to translate business requirements into technical solutions.
• Skills in rapid prototyping (MVP) and delivering solutions to production.
• Willingness to collaborate with other teams (product, analytics, engineering).

Summary

ML Researcher / Engineer wanted to join a high-impact AI/ML team in performance marketing. The company runs campaigns across 25+ verticals, and you'll be researching, inventing, and implementing suitable ML models into campaign management, and porting successful pipelines and processes into a fully automated ML-driven system. Your models will influence real bidding, real budgets, and real campaign decisions.

What's the project about?

You'll be working with ML models for a performance-based (pay-per-lead) marketing platform that relies on prediction, scoring, and ranking. You’ll work with rich tabular data, build models that power optimization loops, and collaborate closely with business and Data Engineering teams to prepare your models for production, not just notebooks.

Required Skills:

• Experience building and validating tabular ML models
• XGBoost/LightGBM/CatBoost and similar models, corresponding Python libraries
• Defining metrics and design validation setups
• Confident feature engineering and data quality/wrangling
• Data pipelines

Would be a Plus:

• Experience with model serving (FastAPI, Bento, TorchServe)
• Monitoring: drift, data checks, stability
• Background in ranking/optimization models

What will you do?

• Build predictive, scoring, and ranking models directly impacting client campaigns and ROI
• Own dataset preparation, pipelines, processes, and validation strategies
• Design experiments that challenge assumptions and uncover real lift
• Collaborate with Software and Data Engineers on feature availability and consistency, packaging, and preparing models for real usage in production

Who you are?

You have strong, hands-on experience with tabular ML (XGBoost, LightGBM, CatBoost), you’ve trained and validated models, and you enjoy shaping experiments that prove whether a hypothesis lives or dies. You think clearly, value clean data, honest metrics, and production impact.

Trinetix is looking for a skilled AI-Native Engineer.

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows. 

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations. 

Requirements 

• Hands-on experience building RAG systems, vector search, or semantic pipelines. 
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs). 
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.). 
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization. 
• Experience building developer tooling, internal tools, plugins, or automation. 
• Ability to design and prototype systems independently. 

Nice-to-Have 

• Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.). 
• Experience implementing GraphRAG or similar graph-structured retrieval approaches. 
• Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM). 
• Understanding of software architecture and system design. 
• Experience with CI/CD pipelines, DevOps tooling, or platform engineering. 
• Ability to create ontologies or domain data models. 
• Experience working in R&D would be preferable. 

Core Responsibilities 

• Designing the core models and abstractions that will underpin our AI-native engineering ecosystem. 
• Developing intelligent mechanisms to surface the right information at the right time. 
• Creating assistive capabilities that streamline engineering tasks and workflows. 
• Driving innovation in how software teams interact with knowledge, context, and automation. 

• Collaborating across the organization to embed AI into the end-to-end delivery process. 

   

What We Offer 

• Opportunity to build a first-of-its-kind AI-native SDLC environment 
• Chance to influence engineering workflows across the entire company 
• Work within a high-impact, exploratory R&D team 
• Competitive compensation and growth opportunities 
• Full autonomy to prototype, test, and implement ideas 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

We are looking for a Senior/Lead Computer Vision Engineer to design and build high-performance perception systems for autonomous platforms, robotics, and advanced navigation operating under strict real-time and hardware constraints.

You will shape the architecture, implementation, and optimization of the entire vision pipeline - from geometric processing and object detection to tracking, sensor fusion, and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine, seeing a short path from code implementation to field testing.

What We Offer

• The chance to design mission-critical autonomous vision systems.
• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision, robotics, and embedded systems.
• Ownership of key architectural and technical decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills

• 10+ years commercial software development; 5+ years in CV/ML or robotics.
• Degree in Computer Science, Math, Physics, or similar.
• Proven record of successful design and implementation of real-time CV or control algorithms.
• Strong in:
  • Object detection & tracking, Kalman filtering, sensor fusion.
  • Camera calibration, multi-view geometry, 3D reconstruction.
  • SLAM / visual odometry.
  • Real-time control or optimal control algorithms.
• Expertise with PyTorch or TensorFlow.
• Embedded ML optimization: TensorRT, ONNX, quantization, pruning.
• Excellent C++14/17/20 and solid Python.
• Experience with:
  • NVIDIA Jetson, ARM SoCs.
  • Low-latency video pipelines: GStreamer, DeepStream.
  • OpenCV, linear algebra, numerical methods.
  • ROS/ROS2.
  • Building reliable real-time systems in challenging conditions.
• Ability to work independently with minimal supervision.

Responsibilities

• Architect and implement vision algorithms for autonomous platforms.
• Optimize CV/ML models for real-time performance on constrained hardware.
• Design and maintain low-latency camera pipelines (GStreamer, CUDA, DeepStream).
• Integrate vision with navigation, sensor fusion (IMU), and control systems.
• Perform camera calibration, geometric vision, and sensor alignment.
• Research and evaluate new algorithms to further improve accuracy, robustness, and performance.
• Participate in hardware/sensor selection and system architecture design.
• Ensure robustness, safety, and performance of deployed systems.
• Support field testing and system maintenance.

Nice to Have

• Experience with:
  • Night-vision cameras, infrared sensors.
  • Autonomous robotics, drones, UGVs, UAV/UGVs.
  • Multi-sensor fusion (Camera + IMU + LiDAR).
  • Real-time CV.
  • MLOps / deployment pipelines.
  • Experience with ArduPilot/PX4, MAVLink, or Betaflight integration.
  • Mission-critical or functional safety systems.
  • Web/cloud monitoring or remote telemetry tools.

Job Summary

We are seeking a highly organized and detail-oriented Project Coordinator to support the planning, execution, and monitoring of projects. This role requires strong communication skills, ability to multitask, and a proactive approach to problem-solving. The candidate must be highly adaptable to potential changes in workflows, processes, and requirements.

The ideal candidate will ensure projects run smoothly by tracking progress, maintaining documentation, and coordinating between teams and stakeholders.

Job Title: Junior Project Coordinator

Location: remote

Job Type: full time

Key Responsibilities:

1. Assist in planning and tracking project progress to ensure timelines and milestones are met.
2. Convey comprehensive information in a clear and concise manner
3. Communicate and report with internal and external teams to ensure task completion and alignment with project goals
4. Monitor data quality and proactively escalate risks or issues that may impact project scope, timeline, or quality.
5. Provide regular project updates to clients and stakeholders, aligning expectations and ensuring transparency.
6. Maintain and update key project documentation, including budget reports, trackers, meeting notes, and delivery schedules.
7. Track production KPIs, such as velocity and quality, and conduct quality spot-checks to ensure consistent performance.
8. Identify and escalate scope changes requested by clients to the appropriate internal teams.
9. Schedule and lead team\customer meetings or check-ins to align on project goals, challenges, and progress.
10. Assist in resolving project-related issues and optimizing workflows for improved efficiency.

Requirements

Qualifications and Skills:

1. Bachelor’s degree in Business, IT, or a related field (preferred).
2. Proven experience in project coordination, operations, support or a similar role.
3. Strong organizational and multitasking abilities, with the capability to work in a fast-paced environment.
4. Excellent communication skills, both written and verbal, to interact with internal and external stakeholders effectively.
5. Ability to identify risks, escalate issues appropriately, and support problem resolution.
6. Experience working with project management tools (e.g., JIRA, Trello, Asana) is a plus.
7. Proficiency in creating and maintaining charts\tables\spreadsheets, executing project related calculations
8. Fluency in English and Russian\Ukrainian (written and spoken) is required.

Preferred Qualifications:

1. Experience in the annotation or data labeling industry
2. Background in working with cross-functional teams, including operations and solutions teams.

If you are a proactive and detail-driven professional looking to contribute to a dynamic team, we encourage you to apply!
 

Integrated Pipeline consisting of two primary components: Inference and Ingestion. This pipeline operates within the parent runtime environment, designed to streamline and unify data processing and model interaction workflows.

The Ingestion component manages the secure collection, validation, and integration of data from various sources, ensuring high-quality inputs for model training and retrieval processes. The Inference component focuses on generating accurate and contextually grounded responses by leveraging advanced Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques.

Together, these components enable the platform to process requests efficiently via the Platform Services Interface (PSI), while maintaining robust data governance. The Integrated Pipeline enforces strict token-based access control to ensure user data privacy, security, and compliance across all stages of data handling and model interaction.

Requirements:

• Deep understanding of LLM architectures, model selection, prompt engineering, and fine-tuning techniques
• Experience with MLOps / AIOps pipelines and tools
• Proficiency in Python, API design, vector databases, and embedding models
• Knowledge of AI safety, bias mitigation, and data governance principles
• Strong system integration skills across cloud platforms (AWS, Azure, GCP)
• Proven ability to balance innovation and delivery, ensuring GenAI solutions are production-ready and cost-efficient
• Excellent communication and documentation skills for presenting complex AI solutions to stakeholders
• Continuous learning mindset — staying up to date with evolving AI frameworks, model releases, and regulatory trends

Job responsibilities:

• Design, validate, and oversee end-to-end GenAI solutions, including model integration, data pipelines and system orchestration
• Define AI architecture blueprints that align with enterprise standards, scalability and security requirements
• Collaborate with MLOps and developers to integrate LLMs and AI services into business workflows
• Evaluate and select appropriate foundation models, APIs and frameworks (e.g., OpenAI, Azure OpenAI, LangChain)
• Ensure ethical AI principles, data privacy, and compliance with internal and regulatory guidelines
• Lead technical reviews of AI solution designs, prompt engineering strategies and fine-tuning approaches
• Provide technical mentorship to developers on AI integration patterns, observability, and performance tuning
• Partner with product owners and business analysts to translate business problems into GenAI solution designs and prototypes

About Procimo

Procimo builds industrial real-time location systems (RTLS), and machine data integrations across Europe.
 

We are looking for an AI Engineer who specializes in LLM-based automations, developer productivity tools, workflow acceleration, and scripting.

What You Will Do

This role focuses on building practical AI-driven systems that:

• generate documentation
• create test cases automatically
• build automation scripts
• generate boilerplate code
• integrate LLMs into DevOps/engineering workflows
• create API wrappers for customer use
• build internal AI copilots
• automate repetitive engineering or operations tasks
• support a customer project requiring AI-powered workflow automation

No model training. No research.
This is applied AI engineering for real workflows.

 

What You Will Build

1. Engineering Automations

• Code generation microservices
• Test generation (unit, integration)
• Auto-documentation pipelines
• Code summarizers and refactoring assistants

2. AI-Powered Tools for Customers

• Chatbot agents for data handling
• LLM-based API integrations
• Custom workflows to accelerate internal processes
• Small microservices (FastAPI, Node, Python) using LLM inference

3. LLM Integrations

• OpenAI API
• Anthropic
• Google AI
• Vector databases (Pinecone, Qdrant, Weaviate)
• Retrieval-augmented generation (RAG)
• Automating customer-specific workflows

4. Scripting & Automation

• Python scripts
• CLI tools
• Bash automation
• Internal utilities
• API connectors

5. Dev Acceleration

• Tools that help developers move faster
• Automated PR reviewers
• Branch/merge assistants
• CI/CD AI helpers (with DevOps team)

Required Skills

• Strong Python
• Experience with LLM APIs (OpenAI, Anthropic, Groq, etc.)
• Experience building automation scripts
• FastAPI or Flask experience
• Ability to build small AI microservices
• Experience integrating APIs
• Experience with prompt engineering
• Ability to build RAG pipelines (basic)
• JSON / YAML / config manipulation
• Good English (B2+)
• Ability to work independently in a remote team
• 2–5 years as Python dev / automation engineer
• 1+ year experience with LLM-based systems
• Built internal tools or automations

Nice to Have

• Vector DB experience
• LangChain or LlamaIndex
• Experience with DevOps or CI/CD
• Worked on internal developer tools
• Experience building no-UI CLI-based tools
• Experience in enterprise automation

What We Offer

• Fully remote
• Contractor role paid in EUR/USD
• Fast-moving environment, low bureaucracy
• Long-term collaboration
• Real product work + customer-facing project work
• Strong engineering culture

How to Apply

Send your Djinni profile or CV and include:

1. Your tech stack
2. Your experience with React + backend
3. Your monthly salary expectation.

Would you like to help democratize the future of video technology? At Qencode, we’re not just at the cutting edge of video technology, we’re redefining it! We partner with Fortune 500 companies like NVIDIA, AWS, and Google to build custom AI models for video transcoding and live streaming. and help power the future of video. From Per-Title Encoding AI and Speech-to-Text with translations, we’re shipping the feature that will help power the next generation of video platforms to deliver the best viewer experiences in the world.

Your Goals

• Find and evaluate relevant models (vision, video, diffusion, autoregressive, multi-task). Fine-tune / adapt them for our video use cases.
• Optimize inference: batching, quantization, model choice, hardware usage, caching.

• Set up metrics and evaluation loops (quality vs. speed vs. cost).

   

Benefits

• An opportunity to work on the latest video technology in a fast-paced and dynamic environment.
• Exposure to a wide range of work experience.
• Environment of innovation where new ideas are encouraged and rewarded.
• Work directly with the founding team.
• We offer education credits you can apply to any course you like

• 100% Remote position

   

About Us

Qencode is on a mission to develop cloud video APIs that democratize the latest video technology for developers around the world. Our platform combines transcoding, live streaming, storage, and global delivery in one unified API, leveraging the latest breakthroughs in artificial intelligence and video processing.

A trusted technology partner to the most demanding companies (including NVIDIA, AWS, Google, and DigitalOcean), Qencode serves clients ranging from high growth startups to Fortune 500 around the world.

Founded in 2017, Qencode is headquartered in Los Angeles, CA.

(Part-Time ~20 hours/week)
 

About the Role

We are seeking a skilled Automation & AI Bots Specialist to design, build, and manage intelligent automation workflows and AI-powered chatbots that drive operational efficiency and business growth. This part-time position offers the opportunity to expand into a full-time role based on performance and business needs.
 

Key Responsibilities
 

Design and implement automation workflows using Zapier or Make to integrate systems and optimize business processes

Develop and manage AI-powered chatbots across multiple channels (WhatsApp, Web, and others)

Configure and maintain API integrations, webhooks, and multi-system connections

Craft advanced AI prompts for conversational agents and automated workflows

Create clear documentation for all processes to ensure maintainability and scalability

Collaborate with stakeholders to gather requirements and translate business needs into technical solutions

Required Qualifications
 

1–2 years of proven experience in automation, chatbot development, or system integrations

Demonstrated expertise with Zapier or Make (hands-on experience required)

Solid understanding of APIs, webhooks, and JSON structure

Experience building and deploying functional chatbots

Proficiency in prompt engineering for AI tools (ChatGPT, Claude, etc.)

Track record of developing natural-language chatbots integrated with GPT models

Strong communication skills with ability to engage effectively with internal and external stakeholders

Excellent requirement-gathering and documentation abilities

Fully self-managed — capable of independently prioritizing tasks and delivering results

Business acumen to translate requirements into actionable use cases

Ability to design comprehensive process flows, including logic mapping and conditional branching

Strong analytical and problem-solving mindset

Good English communication skills (written and verbal)

Available for approximately 20 hours per week

Preferred Qualifications

Experience with Zoho implementation

Background in CRM system implementation (any platform)

Knowledge of logging, error tracking, and workflow monitoring tools

Experience conducting A/B testing for chatbot responses and conversion optimization

Expertise in conversational UX design (tone, language, personalization)

Familiarity with UChat or similar chatbot platforms

Basic programming knowledge in JavaScript or Python

Experience with Voice AI or automated call systems

What We Offer

Flexible part-time schedule (~20 hours/week)

Hands-on experience with cutting-edge AI and automation technologies

Collaborative and growth-oriented work environment

Who are we?

Fuel is on a mission to unlock billions of dollars in GDP by helping SMBs make better financial decisions every day. We manage over $500M in customer P&Ls through our FP&A platform, combining AI with hands-on CFO expertise to deliver enterprise-grade finance - without the enterprise price tag or complexity.

fuelfinance.me
instagram.com/fuelfinance
youtu.be/eI5VH2Ks9o4

Who are we searching for?

We’re looking for an AI Researcher who’s excited to build real AI features used by startup founders every day. You’ll help make our AI Copilot smarter, more accurate, and more helpful - working with modern LLMs, real financial data, and a team that moves fast. If you’re curious, hands-on, and ready to grow, you’ll enjoy this role.

Team structure: 1 Engineering Manager, 2 Senior Full-Stack Developers, 1 Middle Full-Stack Developer, an AI Researcher, and a Head of R&D (responsible for product management and product strategy).

What are your responsibilities?

• Help build and improve our AI Copilot - including many different AI agents that will help our users to work with the product and make decisions
• Create and refine prompts so the AI gives accurate, helpful, and user-friendly answers.
• Set up and improve systems that help the AI remember context during longer conversations and increase the accuracy rate of answers
• Work on making the AI faster and cheaper to run by optimizing latency, token usage, and retrieval quality.
• Integrate modern LLMs (GPT-4, Claude, etc.) into our product with proper error handling and safety checks.
• Use function calling, embeddings, vector search, streaming responses, and async processing to build new AI features.
• Experiment with different AI models and configurations to see what performs best in real scenarios.
• Stay up to date with the latest AI research and apply useful techniques to our product.
• Prototype new AI abilities - such as predictions, automated reasoning, or small autonomous agents.
• Create and maintain datasets and automated tests that check how accurate the AI is across financial use cases.
• Prepare and structure financial data for AI use, and help build data pipelines for RAG (Retrieval-Augmented Generation) systems.

What are the preferred requirements for the role?

Must-have skills:

• 1–2+ years of AI/ML experience (internships, projects, research, or work).
• Solid Python skills and ability to write clean, maintainable code.
• Experience with LLM APIs (OpenAI, Anthropic), embeddings, vector databases, and RAG systems.
• Understanding of prompt engineering fundamentals and LLM limitations.
• Ability to evaluate AI quality using structured datasets, metrics, and experiments.
• Knowledge of basic ML and NLP concepts (supervised learning, embeddings, evaluation metrics).
• Strong problem-solving mindset, fast iteration speed, and high ownership.

• English B2.

   

Nice-to-have skills:

• Experience with LangChain, LlamaIndex, or similar frameworks.
• Familiarity with Pinecone, Weaviate, Chroma, or other vector DBs.
• Knowledge of financial data logic or accounting basics.
• Understanding of AI safety, guardrails, and hallucination mitigation.

• Experience with experimental design, A/B testing, or statistical validation.

   

Reporting Structure

You will report to the Head of R&D and the Engineering Manager.

Recruitment Process:

• Recruiter interview
• Technical interview
• Test task
• Test task review call with the hiring manager (*optional stage)
• Cultural fit interview

Why work with us?

• Build applied AI that powers financial intelligence for global startups.
• Full ownership: what you ship goes directly into production and impacts real customers.
• Learn deep fintech and financial logic - rare, high-value expertise.
• Work directly with senior engineers and founders.
• Move fast, experiment often, and grow into a mid-level AI Researcher role quickly.
• Flexible schedule, 18 days of paid vacation, 10 paid sick days, and a low-ego team culture.

We are seeking a proactive AI Integrator/ Automation Specialist to analyze client business processes, identify automation opportunities, and implement AI-driven solutions. This role involves working closely with stakeholders to design optimized workflows and deploy AI agents using platforms like Zapier, Make.com, and n8n. You’ll integrate tools such as CRM, ERP, Notion, Slack, Gmail, Hubspot, and ensure smooth rollouts through testing and continuous improvement.

You will be working on our internal product, focused on process optimization and automation for clients.

REQUIREMENTS

We’re looking for AI Integrator/ Automation Specialist who has:

• Hands-on experience with AI tools and no-code/low-code automation platforms (Zapier, n8n or Make);
   
• Strong understanding of APIs, webhooks, and workflow logic;
   
• Familiarity with basic programming/scripting Python or Node.js(a plus);
   
• Knowledge of AI/ML concepts such as NLP, LLMs, prompt engineering;
   
• Analytical thinking and the ability to break down complex problems into scalable automation flows;
   
• Excellent communication, presentation, and teamwork skills.

RESPONSIBILITIES

Objective:
Analyze existing business processes, identify opportunities for improvement through automation tools, and implement AI agents to streamline operations — working directly with client stakeholders to ensure alignment and success.

We're looking for AI Integrator/ Automation Specialist who will:

• Analyze existing customer business process in tight cooperation with stakeholder, define "state-to-be" -= optimised BP, implement improvements via automation and agents to identify automation opportunities;
• Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc;
• Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot);
• Test, monitor, and fine-tune AI agents to ensure reliability and performance;
• Collaborate closely with product, development, and client teams, customer stakeholders, process owners and decision makers to ensure smooth rollouts.
   

ABOUT PROJECT

Description

Easyflow is here to boost your business with AI agents that automate routine tasks and free up your team for high-impact, strategic work.

Choose the AI solution that fits your needs – data processing, decision making, performance reporting, and task execution. Of course, these are not all the possibilities!

Nothing from scratch! Easyflow AI agents integrate smoothly into your existing workflows, handling the repetitive tasks so your employees can focus on business growth.

Project Team

8 people

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

• Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.
• Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.
• Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.
• Geek community: at Kindgeek, we value community – even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs – from stretching and skiing to English. We volunteer together and support each other.
• Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub – an innovative cafe-style co-working in Lviv (it's pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply – regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates – especially those underrepresented in technological companies.

RESPONSIBILITIES 

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination.

QUALIFICATIONS  

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)
• Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches
• Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

Join our team as a Machine Learning Engineer, shaping the future of Generative AI with cutting-edge demos, scalable architectures, and hands-on development.

 We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI.  You’ll get hands-on experience with cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate has solid Back-end engineering skills and is curious about Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG) is a plus, as is experience with Front-end languages! Experience in the Financial Services domain, particularly Banking, will be a big plus. 

You will be exposed to a variety of tasks, including: 

• Develop proof of concepts (PoC). Test and validate new ideas 
• Drive implementation. Optimize and transform data solutions to improve business outcomes 
• Help with proposals as a technical consultant.  

Job Description

• Assist in building and testing Generative AI demos and POCs 
• Support the design of simple, scalable architectures for Generative AI applications 
• Work with team members to integrate AI components into larger systems 
• Use MLOps practices to help automate parts of the model development process 
• Follow guidelines to ensure that Generative AI applications are secure and meet basic governance standards 
• Help deploy AI applications on cloud platforms or on-premises setups with team support 
• Adapt to a fast-paced environment with evolving project needs 
• Keep up with AI trends and apply them to projects with guidance 
• Advise clients. Understand their needs, analyze possible solutions, and present the best options 

Qualifications

• 4+ years of experience in IT industry, with at least 2-3 years of experience in machine learning 
• Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI). 
• Experience with pre-sales activities and opportunity processing 
• Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss) 
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face 
• Understanding of CI/CD pipelines  
• Knowledge of RAG or AI application fundamentals (security, governance, etc.) 
• Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups 
• Ability to solve problems and handle shifting priorities with team support 
• Experience with client-facing roles 
• Ability to demonstrate ideas and solutions clearly and confidently 
• Bachelor's or Master's degree in computer science, machine learning, artificial intelligence, or a related field 

• Upper-Intermediate level of English 

   

  Would be a plus

• Knowledge of other programming languages, such as Java or Go 
• Experience with open-source projects or exposure to tools, such as Airflow or Spark 
• Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes) 
• Experience in the Banking and Financial Services domain  
• Experience with prompt engineering or fine-tuning LLMs