AI Engineer
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Job Description
Remote AI Engineer building LLM, RAG, vector-search, and agent systems for Hire Hangar’s global clients. Integrating models into production applications and collaborating across US time zones.
Responsibilities:
- Design and build AI-powered features, pipelines, and automation workflows from scratch
- Integrate and fine-tune LLMs, embedding models, and other ML systems into production applications
- Develop and maintain RAG pipelines, vector search systems, and agent-based architectures
- Write clean, well-structured code across backend and API layers
- Evaluate, benchmark, and iterate on model outputs for quality and reliability
- Collaborate with cross-functional teams to scope requirements and architect AI solutions
- Stay current with the AI landscape and introduce relevant tooling and approaches
- Document technical designs, system behaviour, and deployment processes
Requirements:
- Strong Python programming skills and software engineering fundamentals
- Hands-on experience building with LLMs such as OpenAI, Anthropic, or Mistral via APIs and SDKs
- Practical experience with RAG architectures, vector databases, and prompt engineering
- Familiarity with LangChain, LlamaIndex, AutoGen, CrewAI, or similar agent frameworks
- Solid understanding of REST APIs and third-party service/data-source integrations
- Ability to work autonomously in a fast-paced remote environment
- Prior remote work experience and fluency with remote collaboration tools such as Slack, Zoom, Google Workspace, or Asana
- Ideally prior experience with US- or UK-based companies; applications without required remote experience will not be considered
- Experience with model fine-tuning, RLHF, or custom training workflows preferred
- Familiarity with MLOps tooling and deployment pipelines preferred
- Exposure to multimodal systems preferred
- Data engineering or large-scale structured/unstructured data experience preferred
- Open-source AI contributions or public AI portfolio preferred
- Ability to work US time zones (EST–PST)
- Fluent English proficiency required by the application process
- Must complete the application form and record a video as part of the interview process
Benefits:
- Competitive pay
- Real growth opportunities
- Remote work arrangement
- Opportunity to work with fast-growing global companies
- Long-term career opportunity
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