Jobs AI

About the project

We're building a smart customer behavior analytics platform for an e-commerce / retail business. A starter project is already done — we need an experienced developer to continue and expand it with new AI-powered video analytics features. Long-term engagement, 3+ months, with continuation after successful milestones.
 

What you'll be working on

• Face recognition & detection — identify returning customers
• Emotion detection — happy, neutral, surprised, confused, dissatisfied
• Age estimation & gender detection
• Object detection & tracking — products, shelves, zones, promotional areas
• Real-time / near-real-time video processing
• Detection overlays and analytics dashboard
• Customer emotion trends, demographic summaries, interaction heatmaps
• Camera input and/or uploaded video support
• Code review and improvement of existing codebase
   

Required skills

• Python, OpenCV
• YOLO (v8 preferred), DeepFace, InsightFace, and/or MediaPipe
• Face recognition and emotion detection in production
• Real-time video streaming (WebSockets / RTSP)
• Backend API development (FastAPI or Flask)
• Frontend integration — dashboards with live overlays
• Docker, GPU inference

Nice to have

• TensorRT / Triton for inference optimization
• Experience with retail or surveillance analytics systems
• Dashboard development (React or similar)

We offer

• Long-term project with stable workload

• Clear scope and existing codebase to build on

   

We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands-on experience deploying LLM-powered systems into secure, production environments. You will drive initiatives from proof-of-concept through scalable enterprise deployment.

Details: 

Schedule: Full time remote 

Location: Europe-based 

Capacity: 100% (40 hours/week)
Language: English (mandatory), German (nice to have)

Responsibilities

AI Solution Development

Design, develop, and deploy enterprise AI and GenAI services

Guide solutions from PoC to secure production rollout

Build and integrate multi-agent AI systems and LLM-based products

Work with SAP data products and underlying data architectures

Manage ingestion, transformation, caching, and indexing workflows

Support distributed systems and big data processing environments

Implement CI/CD pipelines and MLOps best practices

Automate model training, validation, testing, and deployment

Work with Azure ML, Databricks, or AWS environments

Implement secure API design, secrets management, and access control

Contribute to security concept design

Ensure observability, reliability, and compliance in AI deployments

Collaborate with AI Product Owners, Data Scientists, and stakeholders

Create architecture diagrams, ADRs, and technical documentation

Ensure high-quality, well-documented codebases

Required Experience

7+ years of professional software engineering experience

Strong Python expertise (mandatory)

Experience with Node.js or Java (at least one additional language)

Backend framework experience (FastAPI, Flask, or Django)

Microservices architecture experience

Docker and Kubernetes experience

Experience with GitHub Actions, MLFlow, or similar orchestration tools

Hands-on ETL, API integration, and model deployment experience

Experience implementing CI/CD and MLOps in cloud environments

Knowledge of distributed systems and big data platforms

Experience working in Agile frameworks (Scrum, Kanban)

Fluent English and strong problem-solving mindset

Nice to Have

Experience with multi-agent or GenAI frameworks (LangChain, CrewAI)

Familiarity with SAP AI Core and SAP BTP

Experience with Jira (Scrum, SAFe)

About the role

We are building a revolutionary system at the frontier of technology and AI.

As a AI-native Engineer, you won’t just write code — you will shape the future of how apps are built. You’ll be part of the early execution engine—shipping core capabilities, refining the experience, and elevating reliability. Expect tight loops, clear ownership, and visible impact. You'll engage directly with first clients, adapt the platform to their needs, and set the stage for the next generation of software creation.

What we’re looking for

We want someone who doesn’t just “fit the role” but defines it:

• Open-minded explorer: ready to try bold ideas, new approaches, and cutting-edge tools.
• Hacker mindset & problem solver: able to connect the dots across complex systems and find elegant solutions.
• Analytical and resilient: thrives in debugging intricate, interconnected architectures.
• Startup speed enthusiast: comfortable hacking fast, shipping early, learning from feedback, and polishing later.
• Experienced in Cursor, Claude Code or other AI coding assistants.
• Passionate about AI-driven Engineering: turning AI into your engineering team-mate.
• Natural leader: with the drive to inspire and guide people.

Why join us?

• Be among the first engineers driving a bold, world-changing vision.
• Work at the bleeding edge of technology and AI, where experimentation is not just allowed but expected.
• Direct influence on product.
• A chance to build something that reshapes how things get done in today’s world.
• A team that values curiosity, creativity, and the pure joy of hacking together the future.

This isn’t just another job. This is your chance to engineer the future of software itself.

Technical stack 

!Prior experience with these technologies isn't mandatory, provided you demonstrate a strong willingness to learn and leverage AI tools. At the end of the day, we consider these to be just tools wielded by a SE.

Core technologies:

• TypeScript, React.js, Next.js, Bun.
• ClickHouse, PostgreSQL, Redis
• Docker / Kubernetes
• Kafka
• Supabase, Inngest, Posthog

Nice to have:

• Vue.js
• Python
• Go
• Ruby

Hiring Process

Stage 1: Interview with HR (1h).

Stage 2: Interview with VP of Engineering.

Stage 3: Tech. Interview

Stage 4: Interview with the team.

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

I am looking for a responsible, independent, and proactive assistant based in Warsaw to help with personal, organizational, and business-related tasks.

At the beginning, this is a part-time position. However, for a strong candidate, there is an opportunity to grow into the role of the entrepreneur’s right hand, operations assistant, or project manager, with the possibility of managing separate projects independently.

Main Responsibilities

You will help with various personal and business tasks, including:

• handling personal and business errands in Warsaw;
• searching for information, contractors, products, and services;
• making phone calls, communicating, and coordinating with different people;
• organizing meetings, trips, and everyday matters;
• monitoring task completion by contractors;
• receiving and sending documents, parcels, and orders;
• assisting with shoots, content creation, and events;
• participating in marketing and digital projects;
• helping to organize workflows and work processes;
• solving non-standard tasks.

Project Areas

The main areas of work are:

• internet marketing;
• digital and IT projects;
• content and video production;
• YouTube projects.

Requirements

We are looking for someone who:

• lives in Warsaw;
• is responsible, reliable, and punctual;
• can work independently and bring tasks to completion;
• shows initiative and does not wait for constant instructions;
• speaks Polish B1, English B1;
• speaks Ukrainian or Russian;
• is confident using a computer;
• has experience using ChatGPT, Gemini, and other modern AI tools;
• has a category B driving license.

Nice to Have

• experience as a personal assistant, business assistant, or project manager;
• interest in business, marketing, technology, and AI;
• experience working with contractors and organizing processes;
• skills in Excel, Google Docs, Notion, Trello, Asana, or other productivity tools;
• own car.

Conditions

• part-time employment;
• flexible schedule;
• fixed payment + bonuses;
• tasks in Warsaw and remote work by agreement;
• opportunity for professional growth;
• possibility to expand responsibilities and grow into a right-hand or project manager role.

How to Apply

Please include in your message:

1. A short introduction about yourself and your experience.
2. Which district of Warsaw you live in.
3. Which languages you speak and your level.
4. Whether you have a category B driving license.
5. Whether you have your own car.
6. Which AI tools you use.
7. Your expected compensation.
8. Three of the most difficult tasks you have solved independently.

I will be happy to meet a responsible, energetic, and thoughtful person who is interested in growing together with the projects.

Parsec Studio is a full-cycle video production company with an impressive portfolio of well-known global brands. We create high-quality video content for clients across SaaS, tech, product, and commercial industries.
 

We are now looking for an AI Video Specialist / AI Creator to join our team and help us develop creative, visually strong, and production-ready videos using modern AI tools.

In this role, you will transform client ideas, scripts, and creative concepts into engaging visual stories using AI video generation, AI image tools, editing, and motion design workflows.
 

Essential Skills:

— Strong experience with AI video generation tools such as Runway, Kling, Veo, Seedance, Pika, Luma, or similar platforms.

— Ability to create high-quality AI-generated visuals, maintain character and style consistency, and improve outputs through strong prompting and iteration.

— Understanding of cinematic composition, camera movement, lighting, pacing, and visual storytelling.

— Experience with editing and post-production tools such as Adobe Premiere Pro, After Effects, or DaVinci Resolve.

— Ability to clean up, enhance, and combine AI-generated shots into polished video sequences.

— Skills in AI image generation tools such as Midjourney, ChatGPT / Sora, Stable Diffusion, or similar platforms will be a big plus.

— Basic motion design, compositing, or 3D skills in After Effects, Blender, Unreal Engine, or Cinema 4D will also be a strong advantage.
 

Responsibilities:

— Generate AI video shots based on scripts, storyboards, and creative references.

— Develop prompts, test different visual directions, and refine generations until the result matches the project goals.

— Work with the production team to create consistent characters, environments, products, and visual styles.

— Edit AI-generated materials into clear and engaging video sequences.

— Help improve our internal AI production pipeline and test new tools and workflows.

Please submit your resume, portfolio, and any relevant AI-generated video work samples. Applications without a portfolio or examples of AI video work will not be considered.
 

We look forward to welcoming you to the Parsec Studio team!
 

Talk to you soon :)

We’re looking for a Python Engineer with hands-on experience working with Claude / AI coding tools.

This is not a classic development role – our workflow is heavily AI-driven, and Claude is a core part of how we build.

We need someone who can review AI-generated code, guide technical decisions, optimize implementation approaches, and help keep development quality high while moving fast.

Must have:

– Strong Python development experience (4+ years minimum)
– Practical experience working with Claude / ChatGPT / AI coding tools
– Comfort reviewing and improving AI-generated code
– Strong architectural thinking
– Understanding of backend/system design principles
– Ability to move fast in ambiguous startup environment
– Good communication skills and collaborative mindset

Big plus

– Experience with optimization / forecasting / simulation systems
– Experience with SaaS product development
– Data-heavy systems experience
– Experience with energy / fintech / trading / analytics domains
– Familiarity with APIs, async processing, performance optimization

Who will fit well

You’ll fit well if:

– you don’t fight AI, you use it as force multiplier
– you can quickly spot when AI writes nonsense
– you know when to trust generated code and when not to
– you think in systems, not only functions
– you’re pragmatic and easy to work with

We are looking for a Data / Analytics Engineer to join an ongoing initiative focused on building a scalable, AI-driven data platform for product analytics.
This is a new role within an existing analytics team, where you’ll help architect and build the core data layer that will enable self-service analytics across the company. The role combines hands-on data engineering with forward-looking AI automation initiatives.
 

Client/Project: is a global DevOps company.
The project focuses on building a Gold data layer that enables product and business stakeholders to access ready-to-use, reliable datasets without relying on ad-hoc requests.
It’s a complex and high-impact domain, where:

• you will design and build a scalable data model from multiple sources (Snowplow, FullStory, internal systems)
• the team is transitioning to an AI-first development approach (Cloud Code, Codeium - no manual SQL writing mindset)
• AI agents are a core part of the vision (automating data transformations and schema evolution)
• the work has a direct impact on decision-making across a ~600-person product organization

Cooperation: full-time, short-term (6 months with the high possibility of prolongation)
Stage: existing (early stage of data platform transformation - Gold layer not yet built)
Position: new
Timezone requirements: CET ±2h preferred
Location requirements: Remote
Client team: Analytics Guild (up to 9 people)
English: Upper-Intermediate+
 

Requirements:

• 4+ years of experience in Data Engineering / Analytics Engineering (Mid+ or Senior level)
• Strong SQL skills (advanced: window functions, CTEs, joins, performance tuning)
• Hands-on experience with dbt (models, testing, documentation)
• Experience with Amazon Redshift (or strong AWS DWH background)
• Solid understanding of data modeling (dimensional modeling, medallion architecture)
• Experience with Python for data pipelines, integrations, or data quality
• Practical experience using AI coding tools (Copilot, Codeium, Claude, etc.) in daily work
• Experience working with product/event data
• Strong ownership and ability to work autonomously
• Clear communication skills and the ability to work with non-technical stakeholders

Nice to have:

• Experience building or experimenting with AI agents (LangChain, OpenAI API, etc.)
• Familiarity with Snowplow or similar event tracking tools
• Familiarity with FullStory or behavioral analytics tools
• Experience with AWS ecosystem (S3, IAM, etc.)
• Experience with orchestration tools (e.g., Airflow)
• Understanding of BI tools (e.g., Looker) and data consumption patterns

Responsibilities:
This role evolves in two main phases:
Phase 1 (Months 1-4): Building the Gold Layer

• Design and implement Gold-layer data models in dbt
• Transform raw and Silver-layer data into business-ready datasets
• Integrate multiple data sources (Snowplow, FullStory, internal systems)
• Collaborate with the analytics team to translate business needs into reusable models
• Identify and fix inconsistencies in existing data layers
• Establish data quality, monitoring, and observability practices

Phase 2 (Months 4-6+): Automation & AI

• Design and build AI agents for automating data workflows
• Develop systems that detect new incoming events and suggest schema placement
• Automate maintenance of the Gold layer
• Explore and implement AI-driven approaches for data transformations

Ownership areas:

• Gold data layer architecture
• Data quality and reliability
• AI-driven automation of data workflows
• Collaboration with analytics stakeholders
• Long-term scalability of the data platform

Benefits from 8allocate:

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Wellbeing: Flexible support in line with company policy, with options to support your physical and mental well-being (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.

We are an innovative AI tech lab building next-generation infrastructure for fully autonomous AI systems. We are currently scaling two core bleeding-edge products:
 

1. An Autonomous Agent Framework: A highly autonomous, "configure-once, forget-forever" agent platform that runs complex workflows, manages its own skills, self-corrects outputs, and operates without traditional approval loops or babysitting.
2. An Intelligence Engine: A massive-scale simulation platform capable of spawning hundreds of grounded AI agents within minutes to simulate real-world behavior, interact across social platforms (Twitter, Reddit), trade on prediction markets, and generate comprehensive counterfactual analysis reports.
    

We are looking for a Senior Backend Developer who is passionate about LLMs, multi-agent orchestrations, graph databases, and building autonomous workflows that operate seamlessly 24/7.
 

Core Responsibilities

• Architect Agent Lifecycles: Design, extend, and optimize the backend core responsible for autonomous agent task execution, state management, and memory retention.
• Scale Swarm Simulations: Improve the performance of multi-agent simulation environments, ensuring concurrent execution of hundreds of agents making API calls, processing text, and updating states in real time.
• Expand the Skills Library: Develop and integrate new "skills" and MCP (Model Context Protocol) tools for agents (e.g., automated code/PR reviews, web searching, live market monitoring, API integrations).
• Self-Healing & Quality Loops: Enhance automated fallback mechanisms, error handling, and self-patching algorithms where AI models evaluate their own outputs and fix failing tasks without human intervention.
• Data & Graph Modeling: Optimize data storage, retrieval, and relational modeling for agent memories, social graphs, and prediction market consensus.

Technical Requirements & Stack

• Languages: Deep proficiency in Python and Node.js/TypeScript (strong backend fundamentals are non-negotiable).
• AI & LLM Integration: Practical experience working with LLM APIs (OpenAI, Anthropic Claude, Ollama) and vector embeddings. Understanding of prompt chaining and structured outputs.
• Databases: Solid experience with Graph Databases (e.g., Neo4j) as well as relational or NoSQL solutions.
• Automation & CI/CD: Strong knowledge of GitHub Actions (used as a runtime framework), workflow dispatches, and containerization (Docker).
• Integrations: Experience building and consuming webhooks, REST APIs, and integrating with third-party platforms (Discord, Slack, Twitter/X, Reddit, or financial data feeds).
• Architecture: Familiarity with event-driven architectures, parallel/sequential task processing, and file-based state logging (Markdown/JSON).

Nice to Have

• Experience or strong interest in Web3, DeFi, and Prediction Markets (Polymarket, Base network ecosystem, tokenomics).
• Open-source contributions or a history of building custom AI tools/bots.
• Familiarity with local LLM deployment and inference optimization.

What We Offer

• 100% Remote & Flexible: Work from anywhere with asynchronous-friendly communication.
• Cutting-Edge Tech: No legacy enterprise maintenance. You will be shipping code to production for autonomous systems from day one.
• High Autonomy: Just like our agents, we value builders who don’t need micro-management and can own features end-to-end.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are looking for a Python AI Engineer to build and scale AI-powered solutions for real-world use cases

Requirements

• 4+ years of development experience with Python
• Experience building real AI applications 
• Experience with LLM APIs (Claude, OpenAI, etc.)
• Understanding of RAG and AI workflows
• Experience with APIs and integrations
• Basics of prompt engineering
• Good communication skills

• Hands-on experience with PyTorch (JAX is also acceptable)

   

Nice to have

• Experience with LoRA, QLoRA, adapters, or other fine-tuning approaches
• Experience with LLM frameworks such as LangChain or LlamaIndex

• Experience working with clients or enterprise systems

   

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions

MTicket is building a production AI Runtime on top of a real ticketing and live events business.
We work with data from ticket sales, payments, scanners, live events, venues, artists, marketing, finance, and operations. Before AI agents can automate workflows and support business decisions, this data must be clean, normalized, structured, monitored, and AI-ready.
We are looking for a Senior Data Engineer / Data Architect who can design and own the unified data layer for MTicket AI OS.

What You’ll Do

• Design a unified data model for ticketing, events, payments, scans, artists, venues, marketing, and finance
• Build ETL / ELT pipelines from core systems and external APIs
• Normalize sales, tickets, refunds, scans, payments, event history, and transaction logs
• Create analytics-ready and AI-ready datasets for internal teams and AI agents
• Implement data quality checks, freshness tracking, monitoring, and alerting
• Debug production data issues using logs, metrics, and system behavior
• Work closely with the AI / Python team on datasets for AI agents

Tech Stack

Must Have

• Strong SQL and data modeling skills
• Production experience with PostgreSQL
• ETL / ELT pipeline engineering
• Data warehouse / data layer design experience
• Event-driven or streaming data experience
• API integrations as data sources
• Data quality checks in production
• Pipeline monitoring, alerting, and observability
• Strong debugging skills in production environments

Strong Plus

• Python for data pipelines
• dbt, Airflow, Dagster, or Prefect
• Kafka, SQS, RabbitMQ, or other queues
• ClickHouse, BigQuery, Snowflake, or Redshift
• pgvector, embeddings, or AI-related data infrastructure
• Experience with ticketing, e-commerce, fintech, marketplaces, CRM, or payments data

First 90 Days

• Audit existing MTicket data sources
• Design the first version of the unified data model
• Build initial ETL pipelines for sales, events, and payments
• Add data quality checks and validation rules
• Set up monitoring, alerting, and freshness tracking
• Deliver the first AI-ready datasets to the Python / AI team

Format

• Remote
• Flexible timezone
• Full-time, part-time, or consulting format
• High ownership
• Architect-level impact
• Ukrainian or Russian language is important for collaboration
• English for technical documentation is a plus

We are looking for a highly skilled AI-driven Full-Stack Developer who knows how to build fast using modern AI coding tools and understands how to work with AI, not just use it.

This role is ideal for someone who actively leverages tools like Claude Code, Copilot, Cursor, and can turn ideas into working products efficiently.

🔹 What you’ll do:

• Build and ship features using Next.js / React + Express
• Collaborate with AI tools to accelerate development and improve code quality
• Create and optimize workflows using Claude Code
• Develop custom commands and automations inside AI coding environments
• Integrate AI tools with CLI tools (Supabase, GitHub, Sentry, etc.)
• Manage infrastructure and deployments via Coolify
• Monitor and debug applications using Sentry
• Work with GCP and AWS Bedrock (permissions, quotas, API keys, AI integrations)

• Continuously improve development processes using AI-first approaches

   

🔹 Requirements:

• Strong English communication (B2+ / C1) — must be comfortable explaining technical decisions clearly
• Solid experience with Next.js / React and Express (Node.js)
• Experience working with AI coding tools (Claude Code, Copilot, Cursor, etc.)
• Deep understanding of prompting, debugging AI outputs, and limitations of AI tools
• Hands-on experience with Claude Code (VS Code / terminal)
• Experience creating custom Claude Code commands (project-level / user-level)
• Experience integrating AI tools with CLI tools (GitHub CLI, Supabase CLI, Sentry CLI, etc.)
• Experience with Coolify (deployments, env variables, logs)
• Experience with Sentry for monitoring and debugging
• Familiarity with GCP and AWS Bedrock (permissions, quotas, API keys)

• Strong experience with GitHub and version control workflows

   

🔹 Nice to have:

• Experience transitioning backend from Node.js to Python
• Experience building AI-powered products or internal tools

• Understanding of system design and scalable architecture

   

🔹 We’re looking for someone who:

• Thinks in systems, not just tasks
• Knows how to ask AI the right questions, not just copy outputs
• Can quickly validate, debug, and improve AI-generated code
• Is proactive and comfortable working in a fast-moving environment

Hi. I'm hiring one developer to help me ship features and fix bugs on Dr.Fit, a fitness and nutrition app with thousands of active users. React Native + Go + Postgres.

I'm not a developer myself. I've been shipping production code for months using Claude Code and Cursor. It works. I want to hire someone who can do this faster and better than me, for one focused part-time role.

THE ROLE
- $600/month, flat. Paid via Wise.
- 4 hours/day, Monday to Friday. You pick your hours.
- Remote. Anywhere in Ukraine.
- Two-week paid trial first ($250). If we both want to continue, we commit.

WHAT YOU'LL DO
- Fix bugs in the React Native app
- Build small and medium features across frontend, Go backend, and support tooling
- Open PRs. I review and merge to production.
- Daily async written standup plus 1 to 2 short calls per week.

If this works out, more hours and more pay are on the table. We figure that out based on what you ship, not a calendar.

WHO I'M LOOKING FOR
- You use Claude Code, Cursor, or similar AI tools every day. Heavily.
- You ship things. You finish them. You don't disappear mid-task.
- English: confident written and spoken. We'll talk on calls.
- You read unfamiliar code and figure things out without hand-holding.
- You care about whether the user's app works, not whether the architecture is pretty.
- You tell me when something is broken or worth building. I don't want to manage you.

WHAT I DON'T CARE ABOUT
- CS degree
- 5 years of experience
- Whether you already know Go or React Native (you'll learn fast with AI)
- LeetCode

HOW TO APPLY
There's a test task on GitHub. It's small (10 to 60 minutes), public, and replaces the CV:

https://github.com/YordanBahov-bg/dr-fit-hiring-test

Fork it. Investigate. Fix what's broken. Add the small feature. Record your full session (Loom's 5-minute free cap won't fit, figure out what works for you, that's part of the test). Open a PR back to the repo.

I respond to every submission within 48 hours.

That's it. No CV needed.

Yordan
 

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.

We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is building an innovative AI-powered platform that transforms how the world’s largest companies manage their real estate assets. The solution leverages the latest advancements in artificial intelligence and large language models (LLMs) to automate complex workflows, analyze massive datasets, and provide instant, intelligent answers to business-critical questions.

Their clients are large global enterprises managing thousands of real estate properties worldwide. Traditionally, real estate departments rely on manual processes and third-party services that can take weeks or months to deliver results. With this platform, these processes are automated and accelerated — what used to take months now takes minutes.

Bonus Points:
🔹Work with cutting-edge AI and LLM technologies
🔹Opportunity to solve complex, real-world enterprise problems
🔹High impact work used by global enterprise clients
🔹Full ownership across the full development lifecycle
🔹Fast-paced learning environment with modern technologies
🔹Small, agile, and highly collaborative engineering team

Key Requirements:
🔹 3+ years of experience as a Full Stack Developer;
🔹 Strong experience with modern frontend frameworks (Angular 18+ preferred or strong React + TypeScript);
🔹 Backend experience with Node.js (NestJS is a plus) or similar frameworks (.NET with willingness to transition to Node/NestJS);
🔹 Strong proficiency in TypeScript / JavaScript;
🔹 Hands-on experience integrating AI/LLM features (OpenAI API, ChatGPT-based features, etc.);
🔹 Experience using AI tools for development (Cursor, GitHub Copilot, ChatGPT, Claude, etc.);
🔹 Solid understanding of relational and/or NoSQL databases;
🔹 Familiarity with cloud infrastructure and CI/CD pipelines;
🔹 Ability to independently deliver complex end-to-end features;
🔹 Up-to-date knowledge of modern frameworks and willingness to learn quickly;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Develop and maintain full-stack features across frontend and backend components;
🔹 Build and integrate AI/LLM-powered functionality into the platform;
🔹 Design scalable and efficient backend services and APIs;
🔹 Work with databases, including schema design and query optimization;
🔹 Collaborate with product and engineering team to deliver end-to-end solutions;
🔹 Participate in architectural decisions and system design;
🔹 Contribute to infrastructure and CI/CD improvements;
🔹 Ensure code quality through best practices, code reviews, and testing;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Interview with VP R&D - (30 min)
🔹 Culture Fit Interview with HR (Client-side HR) - (30 min)
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we're passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S.  We're here to shape the future of technology, one milestone at a time. 
In addition to technical expertise, we value strong communication, autonomy, and a high level of business orientation. This role requires close collaboration with stakeholders, proactive requirement discovery, and the ability to work effectively in a fast-changing environment without waiting for fully documented inputs. 
To thrive in this role, we’re seeking candidates with 2–3+ years of commercial engineering experience, hands-on experience building AI agent solutions, strong Python and/or TypeScript fundamentals, and the ability to design custom tool-using agent loops from scratch. Experience with agent frameworks, evaluation systems, and observability tooling will be a strong advantage. 

About the project : The project is focused on building production-grade AI agent capabilities for the U.S. healthcare domain. The engineer will work on agentic product features, legacy-system integrations, and supporting components such as scrapers and tool layers, helping automate complex workflows in an environment with significant real-world business impact. 

Requirements:  

• 2–3+ years of commercial engineering experience
• Ability to build a tool-using agent loop from scratch, including tool calling, structured outputs, stop reasons, parallel tool use, and error recovery
• Strong understanding of context engineering, including what to write, select, compress, and isolate
• Hands-on experience with modern agent frameworks or SDKs such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or Pydantic AI
• Working knowledge of Model Context Protocol (MCP)
• Experience building or extending evaluation harnesses, solid Python and/or TypeScript skills, and Upper-Intermediate English 

Responsibilities: 

• Design and implement agentic features end-to-end, from prototype to production.
• Build and maintain agent loops, tool layers, context management, persistence, sub-agent orchestration, observability, and safety hooks.
• Define quality standards for agent performance by creating golden datasets, writing evaluations, and setting up regression checks.
• Instrument agents with proper tracing and telemetry, and investigate production behavior using real execution traces.
• Work directly with client stakeholders to elicit and refine requirements, translate them into technical scope, and align on expected outcomes.
• Make pragmatic build-versus-import decisions when selecting frameworks, tools, and external components.
• Participate in architecture discussions and code reviews, contributing to scalable and production-ready engineering decisions.
• Move between projects and priorities as needed, taking ownership of delivery in a fast-changing environment with a high degree of autonomy. 

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule. 

Hiring process: HR interview + tech specialists   

About the Company

BotsCrew is an AI-focused software company with over 10 years of experience building custom AI solutions for businesses worldwide. Starting as a chatbot development company, we have evolved into a team specializing in Generative AI, AI Agents, and intelligent automation solutions.

We help companies across healthcare, fintech, e-commerce, HR tech, and other industries integrate AI into real products and business processes. Our team works with modern AI technologies, including OpenAI, Anthropic, Gemini, LangChain, RAG systems, and AI workflow automation.

About the Role

As a Full Stack Developer at BotsCrew, you’ll build and scale AI-powered features for real client products — with Java as your primary backend language and React/Next.js on the frontend. This is a hands-on engineering role where you’ll own features from design through delivery, working on systems that combine solid backend architecture with applied AI capabilities.

We focus on building robust, production-grade solutions that integrate LLMs, intelligent pipelines, and automation into client workflows. We’re looking for engineers who are strong in Java, comfortable across the full-stack, and have real experience shipping AI-driven functionality — not just experimenting with it.
 

Requirements

Must Have

• 2+ years of commercial experience in backend or full-stack development
• Strong hands-on experience with Node.js or Python
• Experience with modern frontend frameworks: React.js or Next.js
• Solid understanding of RESTful API design and integration
• Experience with Docker for local development and deployment
• Familiarity with CI/CD pipelines (e.g., GitHub Actions, GitLab CI)
• Hands-on experience with cloud infrastructure — AWS, GCP, or Azure
• Real, commercial or project-based experience with AI/LLM technologies: working with LLM APIs (OpenAI, Claude, Gemini), prompt engineering techniques, embeddings and vector search, RAG pipelines or AI-driven product features
• English B2 or higher

Nice to Have

• Hands-on experience building AI assistants or autonomous agents
• Experience with vector databases (e.g., Pinecone, Weaviate, Qdrant)
• Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex)
• Experience with Java or willingness to work with it on cross-team projects
• Contributions to open source or personal AI projects

Responsibilities:

• Build and maintain backend APIs using Node.js or Python
• Design and improve frontend interfaces using React.js and Next.js
• Develop LLM-based features — prompt pipelines, embeddings, vector storage, and AI-driven functionality
• Write clean, testable, and well-documented code with long-term maintainability in mind
• Contribute to platform architecture and scalable solution design
• Collaborate with clients and stakeholders to gather requirements and deliver measurable value
• Participate in agile ceremonies — stand-ups, retrospectives, and sprint planning
   

We Offer:

• 20 working days of paid vacation
• 5 days of paid sick leave
• Equipment provided
• Access to Regus coworking spaces when needed
• FOP (private entrepreneur) accounting and support services
• ChatGPT for Business provides access to support productivity and AI experimentation
• Personal Development Plan (PDP) creation and guidance from mentors
• A talented team and a culture that blends innovation, speed, and real business impact