CyberCraft

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 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

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

We are looking for an AI/ML Engineer 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.

Requirements

• 4+ years of commercial development experience 
• Strong experience with LLM-based systems (RAG, agents, tools)
• Ability to design end-to-end AI architecture (data → retrieval → response)
• Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
• Solid understanding of prompt engineering and iteration
• Experience working with databases (Postgres) + vector search
• Understanding of data processing, PII detection, and safe data handling
• Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
• Ability to review and validate AI-generated code
• Strong engineering mindset (scalability, reliability, structured thinking)

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

We offer

• Flexible working hours
• 20 working days paid vacation and 15 sick leaves
• Fully paid medical insurance
• English classes in the office
• No time trackers — ability to do quality work
• Friendly team and enjoyable working environment

We are looking for an AI/ML Engineer 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, fine-tuning workflows, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

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
• Background as an AI Engineer, ML Engineer, or Data Scientist

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

We are looking for an AI/ML Engineer 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, fine-tuning workflows, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

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
• Background as an AI Engineer, ML Engineer, or Data Scientist

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