CyberCraft

About the role

We are looking for an AI Agent Engineer to join us on a long-term basis and help build, configure, and support AI-driven automation systems.

You will work with an enterprise AI orchestration platform (Airia, onboarding provided), configuring AI agents, integrating them with HubSpot and other tools, and extending the platform with custom scripts when needed.

This is not a classic full-stack development role. Most of your work will focus on:

• building and configuring AI agents
• connecting different systems together
• creating integrations and automations
• writing small custom scripts for edge cases

You’ll work closely with our team and receive architecture guidance and code reviews when needed.

Responsibilities

• Build AI agents for lead qualification, research, lead scoring, and reporting
• Integrate the orchestration platform with HubSpot via MCP
• Configure HubSpot pipelines, lifecycle stages, workflows, and automations
• Integrate outbound tools such as Apollo, A-Leads, Instantly, Smartlead, Outreach, Mailchimp, or Intercom
• Set up field mapping, contact sync, workflow triggers, and bidirectional data sync
• Build integrations with external systems (CRM, ERP, communication tools)
• Write custom scripts and data transformations in Python or JavaScript/TypeScript
• Handle APIs, webhooks, OAuth, rate limits, retries, and error handling

• Prepare SOPs, documentation, and support go-live/testing
   

  Requirements

• 2+ years of experience building AI agents, LLM workflows, or automation pipelines
• Experience with one or more platforms: LangChain, LangGraph, n8n, CrewAI, AutoGen, Make, Zapier AI, Relevance AI, Vellum, or similar
• Experience with MCP, tool calling, or similar integrations between AI agents and external systems
• Hands-on experience with HubSpot CRM (pipelines, workflows, API integrations, webhooks, field mapping)
• Experience integrating CRM systems with outbound or lead generation tools
• Good understanding of REST APIs, OAuth, webhooks, rate limits, and error handling
• Ability to write custom integration logic in Python or JavaScript/TypeScript

• Strong written English and ability to work independently

   

  Nice to have

• Experience with Airia or multi-agent systems
• Knowledge of GDPR, HIPAA, ISO 42001, EU AI Act, or NIST AI RMF

• Background in an AI agency, MSP, or integration company

   

  Tech Stack

• AI orchestration: Airia, LangChain, LangGraph, n8n, CrewAI
• CRM: HubSpot or similar CRM platforms such as Salesforce, Pipedrive, Zoho CRM, Microsoft Dynamics 365, HighLevel
• Integrations: Apollo.io, Instantly, Smartlead, Outreach, Mailchimp, Intercom
• Languages: Python, JavaScript, TypeScript

• APIs & Infrastructure: REST API, MCP, OAuth, Webhooks

   

  We offer

• Long-term cooperation
• Flexible workload
• Direct impact on technical decisions
• Work on real AI products and client integrations
• Support and mentorship from senior engineers

Overview
 We are looking for an experienced Social Media Marketing Specialist with a strong focus on Instagram and Facebook, combining high-quality visual execution with data-driven paid advertising.
The ideal candidate has proven experience managing real client accounts, creating engaging content, and delivering measurable results through paid campaigns.

Responsibilities

Social Media Management & Content

• Develop and maintain consistent Instagram visual style and feed aesthetics
• Create and/or oversee production of Instagram posts (grid/feed)
• Create Instagram Stories (interactive, engagement-driven)
• Structure highlights and optimize profile presentation
• Optimize profiles (bio, highlights, structure) for conversion and branding
• Ensure brand consistency across all social media assets

Paid Advertising (Core Focus)

• Plan, launch, and optimize Instagram & Facebook ad campaigns
• Manage full funnel: awareness, consideration, conversion
• Continuously improve CPM, CPC, CPA, ROAS and conversion rates
• A/B test creatives, audiences, and messaging

Analytics & Performance

• Track and report key performance metrics (CPM, CPC, CPA, ROAS, conversions, growth)
• Provide clear insights and optimization strategies
• Align campaigns with business goals and ROI targets

Requirements
 

• Proven experience managing real Instagram & Facebook accounts
• Strong portfolio with Instagram feeds, Stories, and profile optimization examples
• Demonstrated success in paid advertising campaigns

Must Provide 
 Candidates must include:
Portfolio

• Instagram feeds (screenshots or links)
• Stories examples
• Profiles (bio, highlights, structure)
• Links to real accounts (if possible)

Case Studies (Ads)

• Campaign objectives
• Metrics (CPM, CPC, CPA, ROAS)
• Results and outcomes
• Examples of ad creatives

Skills

• Strong understanding of Instagram & Facebook algorithms
• Experience with Meta Ads Manager
• Ability to combine creative and analytical thinking
• Understanding of conversion funnels

Nice to Have

• Experience in scaling campaigns
• Experience working with international brands
• Basic design skills (Figma, Photoshop, Canva)

What We Care About

• Driving measurable results, not just posting content
• Ability to show real numbers and impact
• Strong balance of visual quality and performance marketing

Engagement
 Flexible (project-based / part-time / full-time depending on candidate)

About the role

We are looking for an AI Agent Engineer to join us on a long-term basis and help build, configure, and support AI-driven automation systems.

You will work with an enterprise AI orchestration platform (Airia, onboarding provided), configuring AI agents, integrating them with HubSpot and other tools, and extending the platform with custom scripts when needed.

This is not a classic full-stack development role. Most of your work will focus on:

• building and configuring AI agents
• connecting different systems together
• creating integrations and automations
• writing small custom scripts for edge cases

You’ll work closely with our team and receive architecture guidance and code reviews when needed.

Responsibilities

• Build AI agents for lead qualification, research, lead scoring, and reporting
• Integrate the orchestration platform with HubSpot via MCP
• Configure HubSpot pipelines, lifecycle stages, workflows, and automations
• Integrate outbound tools such as Apollo, A-Leads, Instantly, Smartlead, Outreach, Mailchimp, or Intercom
• Set up field mapping, contact sync, workflow triggers, and bidirectional data sync
• Build integrations with external systems (CRM, ERP, communication tools)
• Write custom scripts and data transformations in Python or JavaScript/TypeScript
• Handle APIs, webhooks, OAuth, rate limits, retries, and error handling

• Prepare SOPs, documentation, and support go-live/testing
   

  Requirements

• 2+ years of experience building AI agents, LLM workflows, or automation pipelines
• Experience with one or more platforms: LangChain, LangGraph, n8n, CrewAI, AutoGen, Make, Zapier AI, Relevance AI, Vellum, or similar
• Experience with MCP, tool calling, or similar integrations between AI agents and external systems
• Hands-on experience with HubSpot CRM (pipelines, workflows, API integrations, webhooks, field mapping)
• Experience integrating CRM systems with outbound or lead generation tools
• Good understanding of REST APIs, OAuth, webhooks, rate limits, and error handling
• Ability to write custom integration logic in Python or JavaScript/TypeScript

• Strong written English and ability to work independently

   

  Nice to have

• Experience with Airia or multi-agent systems
• Knowledge of GDPR, HIPAA, ISO 42001, EU AI Act, or NIST AI RMF

• Background in an AI agency, MSP, or integration company

   

  Tech Stack

• AI orchestration: Airia, LangChain, LangGraph, n8n, CrewAI
• CRM: HubSpot or similar CRM platforms such as Salesforce, Pipedrive, Zoho CRM, Microsoft Dynamics 365, HighLevel
• Integrations: Apollo.io, Instantly, Smartlead, Outreach, Mailchimp, Intercom
• Languages: Python, JavaScript, TypeScript

• APIs & Infrastructure: REST API, MCP, OAuth, Webhooks

   

  We offer

• Long-term cooperation
• Flexible workload
• Direct impact on technical decisions
• Work on real AI products and client integrations
• Support and mentorship from senior engineers

We are looking for a senior full-stack engineer with proven experience in AI-powered document workflows.

Requirements

• 5+ years of software development experience
• Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
• Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
• Experience with PDF processing: extraction, parsing, classification at scale
• Comfortable in fast-moving, small-team environments with high autonomy

• Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)

   

• Nice to Have
  Direct experience in real estate tech or legal tech products
  E-signature or document execution workflow experience
  Background in deal or transaction management platforms

Key Responsibilities

• Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
• Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
• Implement document state analysis — execution status detection, document categorization, follow-up identification
• Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
• Work autonomously and communicate proactively — own features end-to-end

Required Tech Stack

• Next.js / React — primary framework (frontend and API)
• Python — basic understanding
• Supabase — database and authentication
• Vercel — deployment infrastructure
• Claude API (Anthropic) — AI layer; strong prompt engineering skills required
• TypeScript — used throughout the codebase

We are looking for a Python AI Developer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, and production-grade LLM integrations.

Part-time during the first month

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
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LLM frameworks (LangChain, LlamaIndex, etc.)
• Experience working with clients or enterprise systems

Responsibilities

• Build AI features using LLMs (Claude, etc.)
• Work with RAG pipelines
• Create AI agents / workflows
• Integrate AI into products via APIs
• Collaborate with team and clients

About the role
We are looking for a Senior Full Stack Engineer to join a fast-growing product team. This is a key technical role with a high level of ownership — from architecture decisions to production support.

Requirements

• 5+ years of software development experience
• Strong hands-on experience with Node.js (NestJS) and React
• Experience using AI tools in development workflows (e.g., GitHub Copilot, Claude, ChatGPT)
• Ability to leverage AI for code generation, refactoring, debugging, and productivity improvements
• Strong understanding of system design, REST APIs, and web architecture
• Hands-on experience with AWS (IAM, Cognito, etc.)
• Experience with PostgreSQL, Redis, DynamoDB
• Experience with Docker and Linux environments
• Experience with CI/CD (GitHub Actions or similar)
• Experience with Terraform or CloudFormation (IaC)
• English level: Upper-Intermediate or higher
   

Nice to have:

• Experience building or integrating AI-powered features / agents
• Experience with Python
• Experience with Elasticsearch / Solr / OpenSearch
• Android development (Kotlin)
• Shopify or Zoho integrations

Responsibilities

• Develop and maintain product features across the full stack (Node.js / NestJS + React)
• Actively use AI tools to improve development speed and code quality
• Participate in architectural decisions and system design
• Manage and improve AWS infrastructure
• Maintain and enhance CI/CD pipelines
• Work with Infrastructure as Code (Terraform or CloudFormation)
• Ensure system stability, performance, and scalability
• Handle production issues (L3/L4 support)
• Collaborate with stakeholders to translate business needs into technical solutions

We are looking for a senior full-stack engineer with proven experience in AI-powered document workflows.

Requirements

• 5+ years of software development experience
• Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
• Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
• Experience with PDF processing: extraction, parsing, classification at scale
• Comfortable in fast-moving, small-team environments with high autonomy

• Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)

   

• Nice to Have
  Direct experience in real estate tech or legal tech products
  E-signature or document execution workflow experience
  Background in deal or transaction management platforms

Key Responsibilities

• Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
• Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
• Implement document state analysis — execution status detection, document categorization, follow-up identification
• Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
• Work autonomously and communicate proactively — own features end-to-end

Required Tech Stack

• Next.js / React — primary framework (frontend and API)
• Supabase — database and authentication
• Vercel — deployment infrastructure
• Claude API (Anthropic) — AI layer; strong prompt engineering skills required
• TypeScript — used throughout the codebase

We are looking for a senior full-stack engineer with proven experience in AI-powered document workflows.

Requirements

• 5+ years of software development experience
• Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
• Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
• Experience with PDF processing: extraction, parsing, classification at scale
• Comfortable in fast-moving, small-team environments with high autonomy

• Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)

   

• Nice to Have
  Direct experience in real estate tech or legal tech products
  E-signature or document execution workflow experience
  Background in deal or transaction management platforms

Key Responsibilities

• Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
• Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
• Implement document state analysis — execution status detection, document categorization, follow-up identification
• Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
• Work autonomously and communicate proactively — own features end-to-end

Required Tech Stack

• Next.js / React — primary framework (frontend and API)
• Supabase — database and authentication
• Vercel — deployment infrastructure
• Claude API (Anthropic) — AI layer; strong prompt engineering skills required
• TypeScript — used throughout the codebase

About the role

We are looking for a Senior Full-Stack Developer to join as the first dedicated engineering team member and work directly with the founding team.

This is a hands-on role with strong architectural ownership across multiple production SaaS products. You’ll be involved in shaping system design, building new features, and improving reliability across the stack.

• Workload: 20–30 hours/week initially, with potential to scale

Requirements

• Strong experience with TypeScript (strict mode)
• Solid expertise in React (preferably React 19) and Next.js (App Router)
• Hands-on experience with Supabase (PostgreSQL, RLS, Edge Functions)
• Experience building and maintaining full-stack applications
• Strong understanding of API design, validation, and error handling
• Experience with relational databases, migrations, and query optimization
• Experience working with background jobs / async workflows
• Ability to work in an async, documentation-heavy environment
• Strong ownership mindset and ability to make architectural decisions

Will be a plus

• Experience with multi-tenant SaaS architectures
• Familiarity with Inngest or similar workflow orchestration tools
• Experience with real-time systems, voice or AI integrations
• Experience with Supabase Auth and RLS policies
• Knowledge of Redis (Upstash)
• Experience with Sentry or similar monitoring tools
• Experience integrating third-party APIs (CRM, telephony, etc.)
• Understanding of HIPAA-compliant systems

• Experience with tools like Twilio, Telnyx, Vapi, GoHighLevel, EasyPost

   

Responsibilities

Product Development

• Build new product modules based on architectural specifications
• Implement UI features and fix bugs across dashboards and interfaces
• Develop internal tooling and test harnesses for feature validation

Integrations & Orchestration

• Integrate and manage multiple external providers (AI, voice, APIs)
• Build reliable webhook pipelines (ingest, deduplication, processing)
• Implement CRM and third-party service integrations
• Work on campaign management logic (retry handling, orchestration, etc.)

Backend & Data

• Develop API routes with proper validation and error handling
• Implement background jobs and durable workflows
• Work with database migrations, RLS policies, and RPC functions

Project description

You will work across multiple production SaaS products that share a unified technical stack:

• Primary product (~70%):
  A multi-tenant AI platform for sales intelligence and conversation analytics with active clients and ongoing feature development. This is the most complex system with heavy integration and backend logic.
• Secondary product (~30%):
  A B2B healthcare portal focused on clinic workflows and order routing. The system includes role-based access, audit logging, and integrations with external providers.
• Additional product (as needed):
  An audience intelligence platform that is stable in production, requiring occasional feature updates and maintenance.

Core stack across all projects:
Next.js (App Router), React 19, Supabase (PostgreSQL, RLS, Edge Functions), TypeScript (strict mode), Tailwind CSS.

Requirements

• 3–5+ years of experience with .NET (Core/5+/6+/7+/8) building production APIs.
• Strong experience with React or React Native and TypeScript.
• Solid understanding of REST APIs, HTTP, authentication/authorization (JWT, OAuth2/OpenID Connect).
• Confident with relational databases (SQL Server/Azure SQL, query optimization, transactions).
• Experience with cloud hosting (preferably Azure) and CI/CD pipelines.
• Comfortable owning features end-to-end: from tech design to deployment and monitoring.
• Strong communication skills, ability to work in an async/remote team, and provide/receive code reviews.

Nice to have

• Experience in fintech, banking, or payments domain (KYC/AML, card linking, payouts).
• Experience with Azure AD B2C, Plaid, Stripe/TabaPay, or similar providers.
• Familiarity with OpenAI API or other LLMs in production.
• Prior work with SOC 2 / GDPR / CCPA requirements, audit logging, and security best practices.

Key responsibilities

• Design and implement features across React Native mobile, React web, and .NET 8 Web API.
• Build secure auth flows with Azure AD B2C, JWT, and refresh tokens; implement RBAC and policy-based access.
• Integrate with third-party services: Plaid, Jumio/Alloy, BaaS provider, Stripe/TabaPay, SendGrid, Twilio, OpenAI.
• Work with Azure SQL + Dapper to design performant queries, models, and migrations.
• Implement background jobs and workflows with Hangfire, Redis, and Azure Functions/App Service.
• Handle file and media flows via Azure Blob Storage, signed URLs, and mobile viewers (PDF, images).
• Implement and tune React Query + Zustand state management and React Hook Form + Zod validation.
• Collaborate on CI/CD with Azure DevOps Pipelines, help debug production issues using App Insights, Log Analytics, and Sentry.
• Contribute to security, auditing, and compliance (KYC/AML, PII minimization, logging of critical operations).
• Review code, mentor teammates, and help refine architecture and best practices.

Tech stack you’ll work with

• Mobile: React Native (TypeScript), React Navigation, React Query, Zustand, React Hook Form, Zod, AsyncStorage, Keychain/Keystore, FCM/APNs, Mixpanel, Sentry
• Web: React (TypeScript), Tailwind CSS, React Router, React Query, Ant Design, Recharts
• Backend: .NET 8 Web API, Dapper, Redis, Hangfire, Azure Blob Storage, Azure SQL, SendGrid, Twilio, Plaid, Jumio/Alloy, Stripe/TabaPay, OpenAI (via proxy)
• Infra & DevOps: Azure App Service, Azure Static Web Apps, Azure CDN, Azure DevOps Pipelines, Azure Key Vault, Bicep, Application Insights, Log Analytics

About the role
You’ll build and evolve a fintech platform across mobile, web, and backend. You’ll work end-to-end: from designing APIs and data models to implementing polished mobile and web experiences, integrating with banking/KYC providers, and ensuring security, reliability, and compliance.