Stafnear

Senior Full Stack Developer to own end-to-end features across our AI hiring platform. 

You’ll design scalable services, ship high-quality features, and drive technical decisions that power modern, customer-facing products. If you enjoy ownership, tackling complex problems, and working in lean teams, this role offers real impact and growth.
 

Key Responsibilities
- Design and deliver end-to-end features across Next.js frontends and Nest.js services using TypeScript.
- Architect, implement, and maintain scalable microservices and APIs.
- Own deployments and infrastructure automation on AWS with best practices.
- Improve performance, reliability, security, and test coverage across the stack.

Required Qualifications
- 4-6 years of building production web applications with JavaScript/TypeScript.
- Hands-on experience with Next.js and NestJS in production environments.
- Proven track record with microservices, REST, and distributed systems.
- Hands-on experience with relational databases such as PostgreSQL
- Practical AWS deployment experience and CI/CD workflows.
- Have a product mindset: you care about user experience as much as code quality
 

Benefits
- Salary as IT remittance(Income tax exemption)
- Opportunity to work with latest paid AI tools
- Fuel and Lunch Allowance
- In this role, you’ll shape architecture, influence product direction, and see your work reach users quickly. If you thrive on autonomy, clean design, and shipping durable systems, you’ll feel at home here.

Senior Python AI Engineer with a strong core software engineering background and a recent focus on LLM systems: real-time AI agents and low-latency text/voice.

About the Project

A long-term project focused on building a backend platform for real-time AI agents that operate on text and/or voice with low latency. The main focus is on reliable production-grade services, asynchronous event processing, integration with real-time communications (LiveKit / Pipecat or similar solutions), and building LLM orchestration for agent logic (ReAct/CoT, Transformers).

Responsibilities

• Develop and maintain backend services using Python + FastAPI.
• Build asynchronous pipelines (asyncio) for streaming scenarios (text/voice).
• Integrate with LiveKit / Pipecat / similar for real-time interactions.
• Implement LLM agents: orchestration, tool-calling, state management, routing, and applying ReAct/CoTapproaches.
• Integrate and use Transformers-based models and components (e.g., inference, post-processing, context management).
• Optimize performance: low latency, reliability, scalability, and load control.

• Write tests, maintain code quality, participate in code reviews, and contribute to technical decisions.

   

Requirements

• 5+ years of Python experience and a strong software engineering foundation (architectural thinking, clean code, production ownership).
• Commercial experience with FastAPI.
• Hands-on experience with asyncio and concurrency (I/O-bound workloads, streaming, background processing).
• Experience with pydantic (schemas, validation, API contracts).
• Recent experience with LLM systems: building agentic flows, model integrations, prompting/instruction design, and context handling.
• Understanding of or practical experience with real-time text/voice solutions (LiveKit/Pipecat/alternatives).

• English: Upper-Intermediate+ (communication with the team/client, documentation).

   

Nice to Have

• Experience with performance tuning / low-latency systems, profiling, and optimization.
• Understanding of LLM quality evaluation approaches (regression testing, basic metrics, degradation control).
• Experience with production observability (logging/metrics/tracing) at the principles + hands-on level.

We Offer

• A long-term project.
• Work in a modern area: real-time LLM/voice agents.
• Influence on technical decisions and architecture within your scope of responsibility.
• English communication in a professional environment.

As a Senior Go Backend Engineer, you will work in a high‑velocity, remote‑first environment where autonomy, ownership, and technical leadership are essential. You will design and build backend services that power our core platform, collaborate directly with senior technical leaders, and help shape architectural decisions that influence the entire product.

You will join a team of experienced engineers and contribute directly to building a cloud‑native backend used by enterprise customers.

What You’ll Do

- Implement scalable, reliable backend services using Go
- Design and evolve cloud‑native systems and APIs that power enterprise‑scale cost optimization
- Integrate deeply with cloud provider services (AWS, Azure, GCP) to support platform capabilities
- Participate in GitHub‑driven workflows: pull requests, thorough code reviews, and CI/CD practices
- Drive high standards for quality, performance, and observability across backend systems

What We’re Looking For

✔ Senior Go developer with 5+ years of commercial backend experience
✔ Solid hands‑on experience with PostgreSQL, database schema design, and performance optimization
✔ Proven ability to contribute effectively as an independent engineer in a remote‑first team
✔ Clear and proactive communicator who enjoys collaborative problem‑solving

 

Nice to Have

- Experience with infrastructure automation, observability tooling, or cost‑related platforms
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Exposure to multi‑cloud or hybrid cloud systems

About project 

We’re a fast-growing platform helping large companies analyze and reduce cloud infrastructure costs. Through deep integrations and automation, we give enterprises the tools to optimize spending and improve efficiency across major cloud providers. Scalability, performance, and engineering excellence are at the heart of what we build.

We’re looking for an experienced DevOps to join our engineering team and help us automate, scale, and optimize our build and deployment workflows. You’ll play a key role in designing robust pipelines, integrating tools, and ensuring smooth delivery processes in a complex, performance-critical environment.

This role involves both hands-on infrastructure automation and close collaboration with development teams to maintain high standards of quality, speed, and reliability.

What You’ll Do

• Design, implement, and maintain CI/CD pipelines using modern automation tools
• Integrate and optimize build workflows (Makefiles or similar) for reliability and performance
• Automate testing processes, including network-level testing using scripting tools
• Monitor, debug, and improve pipeline health and deployment stability
• Manage and configure cloud infrastructure (e.g., Hetzner, DigitalOcean, or similar)
• Containerize and orchestrate services using Docker and infrastructure-as-code tools (e.g., Pulumi)
• Collaborate with development teams to ensure seamless delivery and operations

What We’re Looking For

• 5+ years in a DevOps, CI/CD
• Solid experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Proficiency with Linux, shell scripting (e.g., Bash), and Python
• Strong understanding of build systems, Makefiles, and the software compilation process
• Experience managing and troubleshooting pipelines in complex environments
• Familiarity with containerization and deploying infrastructure via Pulumi, Terraform, or similar
• Experience with cloud platforms like Hetzner, DigitalOcean, AWS, GCP, or Azure

Nice to Have

• Experience with Scapy for network-level testing
• Knowledge of Bazel or transitioning legacy build systems to modern CI/CD
• Hands-on experience with self-hosted runners, caching, or advanced build optimizations

We’re building a product that helps companies improve customer service and user engagement. The platform enables teams to communicate with users in real time, automate routine workflows, and get clear insights into customer interactions — helping businesses respond faster, support better, and increase retention.

What you’ll do

• Build and maintain front-end features using React, Next.js, TypeScript, Tailwind, shadcn/ui
• Develop scalable back-end services with Node.js, Nest.js, TypeScript
• Implement real-time functionality using WebSockets
• Design and maintain the data layer with PostgreSQL + TypeORM
• Work with async messaging via RabbitMQ
• Support infrastructure on DigitalOcean + Cloudflare
• Occasionally contribute to supporting services in Python (FastAPI, Telethon)

What we’re looking for

• 5+ years of commercial experience with TypeScript (front-end + back-end)
• Strong hands-on experience with React and Next.js
• Solid backend skills with Node.js / Nest.js
• Experience with PostgreSQL, ORMs, and real-time systems
• Understanding of event-driven / message-based architectures
• Product mindset and experience working in fast-paced startup teams
• Fluent English (spoken and written)

Nice to have

• Experience working with cloud networking/CDN and security basics (e.g., caching, routing, SSL)
• Experience with monitoring, logging, or performance optimization in production
• Background in building B2B SaaS products with real-time user interactions

We’re building a high-performance, intelligence-driven trading platform operating across Chat, Web, and internal data systems. 

We’re looking for a senior full-stack engineer who can take on large, ambiguous problems and turn them into production-grade features with minimal supervision. You should be deeply comfortable with React/Next.js frontends, Node.js backends, and modern application patterns.

You Will:

- Ship high-quality features end-to-end across Node.js APIs and Next.js frontends

- Optimize performance, data flows, caching, and component architecture

- Improve existing codebases with strong engineering discipline (testing, structure, clarity)

- Integrate with internal APIs, trading engines, and real-time data surfaces

- Operate independently inside high-tempo dev cycles

Requirements:

• 5+ years full-stack experience

• Expert in Node.js, React, Next.js

• Strong with TypeScript, API design, and system-level thinking

• Excellent communication - able to articulate reasoning and tradeoffs clearly

• Prior experience in fast-paced startups or high-ownership environments

Nice to Have:

• Experience with WebSockets, real-time systems

• Familiarity with PostgreSQL, Redis, caching layers

• Background in trading, finance, or data-intensive systems

• Experience in Solana, DeFi protocols, or trading systems

We’re looking for a Senior React Native Engineer who thinks beyond “just mobile”: someone who can see the system as a whole, understands how a product runs in production, and feels comfortable working at the intersection of mobile development, backend, and infrastructure.
 

Project

This is a high-scale SaaS product where the mobile application is a key part of the ecosystem: a user-facing interface that operates under real load, integrates with backend services, and requires stability, speed, and predictable release delivery.

In this role, it’s important not only to “build UI,” but also to understand how technical decisions impact performance, reliability, integrations, and operational support.

What you’ll do

- Develop and maintain a React Native mobile application (UI, architecture, quality, performance).

- Improve the stability and scalability of the mobile solution within a SaaS platform.

- Collaborate with backend and infrastructure components: understand integrations, APIs, caching, search, and asynchronous processes.

- Participate in solution design with the team (architecture discussions, technical trade-offs, best practices).

- Help improve delivery processes: CI/CD, release quality, observability, and overall engineering discipline.

What we expect

- Strong experience with React Native and UI development (components, state management, navigation, optimization).

- Broad technical background and a full-stack mindset: understanding how mobile applications operate in production and interact with the platform.

- Understanding or hands-on experience with some of the following technologies:
Kubernetes, OpenSearch, Redis, AWS/GCP, GitHub Actions (at a level sufficient to collaborate effectively with the platform/infra teams).

- Nice to have: basic understanding of Java (to navigate related services/ecosystems).

- Experience working on high-scale SaaS or similar products/environments with significant load.

- English C1+ for daily communication and working with technical documentation.

Nice to have

- Experience improving mobile app performance (profiling, rendering optimization, memory/performance tuning).

- Experience with observability practices (logging, metrics, tracing) or participation in incident/debug processes.

- Understanding of security and best practices for mobile clients in B2B/SaaS environments.

We’re building an AI platform that helps businesses automate customer interactions and internal workflows using LLM-powered conversational agents. The product focuses on high-quality, controllable AI behavior: reliable conversations, tool usage (calling internal systems), measurable performance, and fast iteration based on real user feedback.
You’ll work closely with an AI automation expert to bring assistants into real business processes - not demos.

What you’ll do

• Craft, test, and optimize prompts for LLMs to solve real product and business tasks
• Build and refine conversational agents (text and optionally voice) using an internal no-code/low-code tool
• Translate feature requirements into working agent behaviors: flows, guardrails, tone, and structured outputs
• Analyze model responses, run experiments, and iterate based on metrics and feedback
• Maintain a prompt/agent knowledge base, best practices, and reusable templates
• Collaborate with product, engineering, and automation teams to integrate AI into workflows
• Research and evaluate new models and techniques, recommending what’s worth adopting

Requirements (must-have)

• 2+ years of hands-on experience in Prompt Engineering or building LLM-based conversational experiences
• Practical experience with LLM prompting in production-like scenarios (quality, consistency, edge cases)
• Strong analytical thinking: ability to evaluate outputs and improve them systematically
• Solid communication skills and ability to work cross-functionally
• English: B2+ (C1 is a strong advantage)

Nice to have

• Basic Python and experience with LLM APIs (OpenAI, Gemini, Claude, Cohere, etc.)
• Understanding of RAG, structured outputs (JSON/function calling), and evaluation approaches
• Experience building LLM agents (tool calling, multi-step workflows) with LangChain/LangGraph/AutoGen/CrewAI
• Exposure to open-source model ecosystems and practical optimization (e.g., lightweight fine-tuning like LoRA)
• Background in linguistics, media, content creation, or UX writing (we value language craftsmanship)

Why this role

• Real impact: you’ll build AI behavior that users interact with daily
• Ownership of the “AI layer” as a product surface: quality, reliability, iteration speed
• A practical environment focused on shipping, measuring, and improving - not hype

Middleware software with a Django (Python) admin panel to manage vendors, products, and orders.
Includes a Shopify store integration — this part is already implemented and has been running stable for over 1 year.

What you will have the opportunity to do

• Work on various e-commerce and business automation projects, helping platforms scale and evolve using your backend expertise.
• Collaborate with experienced developers and get ongoing mentorship and code review support.
• Join an international team across 4 countries in a collaborative environment where every opinion matters.

• Work with modern infrastructure, APIs, and integrations that make a real impact for clients.

   

Requirements

• Python (3.x), Django Framework (2+ years of commercial experience)
• Experience with RESTful APIs, PostgreSQL/MySQL, ORMs
• Experience with Firecrawl API, Google feed
• Experience with Celery and message brokers (RabbitMQ or similar)
• Web scraping / data extraction experience
• eCommerce project experience
• Understanding of OOP, design patterns, and clean architecture principles
• Basic frontend knowledge (HTML5, CSS3, JS) — nice to have
• Familiarity with Docker, Git, and cloud services (AWS, GCP, or similar)
• Ability to write clean, maintainable, and well-documented code
• Open-mindedness, analytical mindset, and flexibility

Bonus

• Shopify API experience or Liquid knowledge

   

Integrations & technical context

• Integration with Firecrawl API
• Google feed
• Custom webfeed
• Working with OpenAI

We’re looking for a Senior Manual QA Engineer to join a short-term project focused on structured data processing and integrations. The product processes large volumes of documents and timesheets (CSV/Excel/PDF), applies data normalization, and uses OCR/AI handwriting recognition to extract information that is then matched and synced with Salesforce.

This role is ideal for someone strong in API/integration testing, comfortable validating data quality and matching logic, and able to support UAT and quality documentation in a fast-moving environment.

Contract Details

• Duration: 12 weeks (Feb–Apr 2026)
• Start: Early February 2026
• Workload:
  • Month 1: Part-time (20h/week)
  • Months 2–3: Full-time (40h/week)
• Time zone: CET
• English: B1–B2
• Format: White-label

Responsibilities

• Test structured data ingestion and processing (CSV, Excel, PDF) and verify data normalization rules.
• Validate OCR/AI handwriting recognition results for accuracy and edge cases.
• Test Salesforce integrations, including sync flows and matching algorithms.
• Perform load and volume testing (targeting 50,000+ timesheets/week) and report performance risks.
• Support UAT: prepare test scenarios, assist business users, and verify fixes.
• Maintain defect tracking, test evidence, and quality documentation.

Requirements

• 5+ years of QA experience (manual-focused), ideally on data-heavy or integration-heavy products.
• Strong API testing skills (Swagger/OpenAPI, JSON; ability to write and validate requests/responses).
• Experience with integration testing across systems (data mapping, validation rules, error handling).
• Familiarity with cloud environments (AWS and/or GCP) from a QA perspective.
• Ability to write basic scripts for testing/support activities (e.g., data checks, payload generation).

Nice to Have

• Hands-on Salesforce testing experience (flows, objects, integrations, data validation).
• Prior exposure to OCR / AI-assisted extraction validation.

Our client is a cybersecurity services company expanding its audit capabilities. They are building a trusted pool of experienced Cybersecurity Auditors to collaborate with on a long-term basis across multiple client projects.

Work is organized into predefined “audit packs” with a clear scope and estimated effort, so expectations are consistent and workloads can be planned fairly in advance.

What You’ll Do

Depending on your expertise, you may work on:

• Technical security audits (infrastructure, cloud, hybrid environments)
• Vulnerability assessments and risk analysis
• Compliance & regulatory audits aligned with frameworks such as ISO 27001, ENS, NIST, CIS
• Security posture reviews and gap analysis
• Evidence collection and validation (documentation + technical proof)
• Audit reporting with clear, actionable recommendations

Projects will vary in size and complexity; workload and scope are agreed upfront.

How the “Audit Packs” Work

Each pack typically includes:

• Defined scope (technical, compliance, or mixed)
• Review of documentation and/or technical evidence
• Identification of risks and gaps
• Actionable findings and recommendations
• A structured report aligned to the applicable framework

Each pack comes with an estimated number of hours based on repeat delivery. You’ll be asked to:

• Confirm whether the scope fits the estimate
• Highlight where estimates may be risky or unclear
• Suggest ways to improve quality and efficiency

The goal is a balanced model that scales over time not unrealistic timelines.

What We’re Looking For

• Proven experience as a Cybersecurity Auditor or Security Consultant
• Strong understanding of security controls, risks, and best practices
• Ability to write clear, professional audit reports (English required; Spanish is a plus)
• Hands-on experience with one or more frameworks: ISO / NIST / ENS / CIS (or similar)
• Reliable, detail-oriented, comfortable working with minimal supervision

Nice to Have

• Security certifications (e.g., Offensive Security, Altered Security, or similar)
• Experience auditing both SMEs and enterprise environments
• Familiarity with cloud platforms (AWS, Azure, GCP)

You will join a data team building and maintaining a data platform where Snowflake is the core warehouse and Power BIis used for business reporting. The work includes integrating data from multiple sources (including DealCloud or similar CRMs) and delivering reliable analytics for key stakeholders.

Responsibilities

• Design and maintain Snowflake structures (schemas, loading processes, and performance tuning).
• Build and operate ETL pipelines using Airflow / dbt / Talend / Informatica.
• Develop data transformations and automation using Python and SQL.
• Support and enhance Power BI reporting by preparing clean, analytics-ready datasets.
• Work with cloud data services in AWS / Azure / GCP for storage, processing, and integrations.

• Apply best practices in data lakes, data modeling, governance, security, and controlled access to data.

   

Requirements

• 6–8+ years in Data Engineering / Analytics
• Strong SQL and Python
• Hands-on Snowflake (schema design, loading, tuning)
• Experience with Airflow / dbt / Talend / Informatica
• Cloud data services: AWS / Azure / GCP
• Understanding of data lakes, modeling, governance & security
• Experience with Power BI (or similar dashboarding tools)
• Bonus: DealCloud (or similar CRM)
• Strong analytical, communication, and problem-solving skills

We’re looking for a Senior / Lead Python Engineer with solid experience building and operating AWS serverlessprojects.

About the product
Our real-time platform selects the best fallback domain based on geolocation, availability, user behavior, and ISP restrictions — to ensure high availability, a strong user experience, and robust monitoring & analytics.

What you’ll do

• Design and evolve services built on the AWS Serverless stack
• Work with AWS CDK to define and update infrastructure as code
• Build and maintain APIs and integrations with external systems
• Ensure reliability and scalability under real production traffic
• Improve monitoring, logging, and overall observability
• Contribute to technical and architectural decisions

Requirements (must-have)

• 7+ years of commercial Python experience
• Hands-on with serverless components: Lambda, DynamoDB, S3, CloudWatch
• Experience with AWS CDK
• Strong understanding of serverless and event-driven approaches
• Experience running production systems with real traffic

Nice-to-have (optional)

• JavaScript / TypeScript
• DevOps mindset and experience working close to infrastructure
• Experience with affiliate-traffic systems or traffic routing solutions
• Experience with Datadog (or similar monitoring tools)
• Exposure to AI/ML-driven logic or data-based decision systems

We are building a premium, large-scale dataset of ~3 million images spanning art, culture, and history (paintings, objects, architecture, historical scenes, etc.) with the goal of licensing it to leading AI companies (OpenAI, Meta, Google, Amazon, Apple, and others) for LLM and multimodal model training.

Our focus is to structure the collection for modern requirements in multimodal training, alignment, retrieval (RAG), and multimodal reasoning — and to make the dataset “buyer-ready” for enterprise AI labs.

Role mission

We’re looking for a specialist who understands what AI model developers truly need from training datasets and can help us design and refine the dataset’s structure, metadata, annotation standards, documentation, packaging, and legal readiness for commercial licensing.

Key responsibilities

• Advise on which image + metadata pairs are most valuable for VLM/LLM developers.
• Design or refine a scalable metadata schema (JSON-based; optionally aligned with LIDO / CDWA / CIDOC CRM) suitable for:
  • Vision-Language Models (VLMs)
  • Retrieval / RAG workflows
  • Fine-tuning and alignment
• Review and improve our current schema (~17 fields per image across visual, cultural, technical, and legal metadata).
• Define annotation standards for:
  • Objects/attributes and composition
  • Style, period, and cultural context
  • Multi-level captioning (short / detailed / expert-grade)
  • VQA (Visual Question Answering) pairs
  • Synthetic negatives for robustness
• Recommend packaging and delivery formats preferred by major AI labs (JSONL, Parquet, TFRecord, etc.).
• Ensure compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Provide guidance on provenance, licensing language, and legal compliance for AI training usage.
• Help position the dataset as a premium, commercially licensable AI training asset.

Required expertise

Demonstrated experience in one or more of:

• LLM or multimodal training data (vision-language datasets, CLIP-style, VQA, DETR, etc.)
• Dataset design for AI labs, research institutions, or large-scale ML pipelines
• Cultural heritage / museum / archival metadata standards (LIDO, CDWA, CIDOC CRM, Getty AAT)
• Structuring datasets for zero-shot learning, cross-modal reasoning, and multilingual AI
• Data licensing for AI training (public domain, CC0, custom licenses)
• Data evaluation, benchmarking, or alignment

Nice to have

• Prior work with OpenAI, Meta, Google, Amazon, Apple, or similar AI organizations
• Experience with large image datasets (100k+ items)
• Familiarity with RAG systems and embedding-based retrieval
• Experience preparing datasets for commercial sale or enterprise clients

Deliverables

Depending on scope, deliverables may include:

• Written recommendations on dataset structure and field definitions
• Improved/final metadata schema with JSON examples
• Annotation and captioning guidelines
• Enterprise-grade dataset documentation for AI buyers
• Optional: review of a sample subset of images and metadata

We’re looking for a Full Stack Engineer to join our engineering team and help build AI-powered solutions for sales automation. This role involves real production challenges, end-to-end ownership, and a strong opportunity to influence both the product and architecture.

What you’ll do

• Design, develop, test, and maintain end-to-end features across the entire stack.
• Work with React, TypeScript, Node.js, databases, and AWS infrastructure.
• Contribute to the development and maintenance of a microservices architecture.
• Improve system performance, reliability, and scalability.
• Collaborate closely with the CTO and the engineering team in a fast release cycle.
• Experiment with AI-driven features and agent-based architectures.

What we’re looking for

• 2+ years of commercial full-stack development experience.
• Strong hands-on skills with React, TypeScript, and Node.js.
• Practical experience with AWS.
• Experience with MongoDB.
• Understanding of (or experience with) microservices architecture.
• Ability to work effectively in a fast-paced, startup-like environment.
• High level of independence, ownership, and results-driven mindset.
• English: confident Upper-Intermediate or higher.

Nice to have

• Experience building Chrome extensions.
• Interest or experience in AI automation, LangChain, or agent-based architectures.
• Experience with sales / GTM tools.

About the company

We are a software development company building digital solutions for SaaS, CRM, mobile applications, and startups. We work with international clients and create products used by both small businesses and large companies.

What we offer

• Direct collaboration with the CTO and involvement in key technical decisions.
• High impact on the product and architecture.
• Remote-first work format.
• Real AI challenges in production (not “AI in slides”).