HRAVITY

Leading US-based MSP provider is seeking an AI Engineering professional to join our DevOps team and help build an internal AI-powered platform. You’ll design and deploy intelligent chatbots and autonomous agents using Azure OpenAI and modern LLM frameworks.

COMPANY
Atlas Technica is a fast-growing US-based MSP working with hedge funds and investment firms. Founded in New York in 2016, the company has grown to 200+ engineers across 10+ countries (US, UK, UA, HK, SG).

The goal of this role is to design and deploy intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services. Build data pipelines and fine-tune NLP models with Azure ML. Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements and collaborate across teams.

 

Responsibilities

AI Agent & Chatbot Development
• Design, build, and deploy intelligent conversational agents using Azure Bot Framework, Azure OpenAI, and Cognitive Services.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate the business value of AI-driven solutions.

Data & Model Engineering
• Build and maintain robust data pipelines to support training and inference workflows.
• Configure, train, and fine-tune machine learning models using Azure Machine Learning, with a focus on NLP and LLMs.
• Evaluate and optimise AI system performance for accuracy, scalability, latency, and cost-efficiency.

System Integration & Architecture
• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise Manage, Confluence, etc) using RESTful APIs.

Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.
• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

Research & Innovation
• Stay current with evolving LLM technologies, frameworks and methodologies.
• Evaluate emerging tools and techniques to improve solution quality and delivery speed continuously.

Collaboration & Leadership
• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

Requirements:

• 4+ years of experience in ASP.NET software development (Core/WebAPI, C#, React/React.js), with a focus on AI engineering and Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Advanced expertise in machine learning, deep learning, and NLP, including pipelines, model fine-tuning, embeddings, and transformer-based architectures.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini), as well as practical experience with Retrieval-Augmented Generation (RAG) and optimising retrieval pipelines.
• Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework) and knowledge of MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

Desirable Qualities:

• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure Cosmos DB.
• AI-102
• Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage, Confluence, SPO, etc.

What we offer:

• Direct long-term contract with a US-based company
• Full-time remote role
• B2B set-up via SP (ФОП in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

HRAVITY is looking for a Technical Recruiter to join our team. We are a technical recruitment agency placing Senior+ engineers and tech leaders at product companies and startups across the US and EU. We don’t do volume hiring, we work with small and mid-sized teams who care about hiring quality over speed.
 

Our team mainly works in a full recruitment cycle: from the first call with a hiring manager to an accepted offer. The focus of this role is on driving sourcing and recruitment efforts, as part of a small agile team. You'll run 1–3 open roles at a time, just enough to actually understand what each client needs and find the right person. This role is ideal for candidates with an educational background in IT or some initial experience in the tech field, who are eager to grow their career in recruitment.
 

WHAT AM I GOING TO DO?

• Active sourcing — most of your candidates won't be actively looking. You'll build outreach strategies, test new channels, quickly read what the market looks like for a given role, and iterate until you find what works.
• Job marketing — write JDs that attract the right people, choose where to post them, and manage the inbound flow
• Screening & interviews — you'll talk to a lot of people. For each conversation, there are two jobs: present the role in a way that makes the right candidate interested, and run a structured interview to assess whether they actually fit.
• Coordination — schedule interviews, keep all sides aligned, and make sure the process moves without unnecessary delays. The best candidate experience often comes down to this.
• Client collaboration — run discovery calls, ask the questions hiring managers didn't think to answer, and turn vague requirements into a search strategy. Iterate, update, be a partner and lead client through the process.
• Talent pipeline — build and maintain a reserve of strong candidates you've already vetted. Keep relationships warm so when a role opens, you're not starting from zero.
• Process & records — keep the ATS (Notion) clean, up to date, and document what works. We're a small team, so good habits here matter.
   

WHAT ARE THE QUALIFICATIONS?

• 2+ years in IT recruitment, ideally with US or EU markets
• Strong sourcer — you know your way around sourcing tools and automation, and don't rely on one channel
• Strong English (B2) — you'll be writing JDs, running interviews, and managing client relationships in it daily
• Education in IT or completed technical courses — you understand how software is built, can read a tech stack, and follow a conversation with developers
• Structured thinker — you communicate in a clear way, prioritize well, and can articulate your reasoning
• Self-driven — you manage your own workload, flag issues before they become problems, and don't need someone to check if things are moving. We trust people to own their work without being reminded.
   

WHAT ARE THE WORKING CONDITIONS?

• Remote-first setup, flexible working hours and unlimited vacation policy
• Supportive and collaborative atmosphere with flat hierarchies and BS-free environment
• Full tax and expense coverage, all necessary equipment, tools, and resources
• Competitive base salary with uncapped performance-based bonuses
• Comprehensive insurance coverage, gym memberships and more

COMPANY

Arcyn is a freshly funded seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they're being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we're looking for a strong AI engineer who's comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

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In this role, you'll architect AI systems from scratch and own the full development cycle, there's plenty of room for experimentation and rapid iteration. We're seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

RESPONSIBILITIES: 
• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 

• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  
• 5+ years of professional software engineering experience. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

   NICE TO HAVEs: 
   • Experience with compliance automation, technical regulations, or domain-specific rule translation. 
   • Familiarity with Pydantic models or other type-safe data management frameworks. 
   • Background in developer tooling or systems requiring high reliability and reproducibility. 
   • Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.