Hire Hangar
Clients
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Hire Hangar. Skills: AI Engineer, Machine Learning, Software Engineering, LLMs. Design AI-powered features. Build AI-powered features”
What You'll Achieve.
Design, build, and deploy intelligent systems; Work across the full AI development lifecycle; Ensure quality and reliability of model outputs
Industry & Context.
Thrives at the intersection of machine learning, software engineering, and product thinking; Thinks in systems; Translate complex technical concepts into scalable, working solutions
Must have prior remote work experience, Must be fluent with remote collaboration tools and platforms, Ideally worked with US or UK-based companies, Applications without this experience will not be considered, Must complete the application form in full, Required to record a video as part of the application process, If you do not record a video, we will not be able to consider you for ANY open roles
What They're Looking For.
Must Have
programming skills in solid understanding of software engineering fundamentals, Hands-on experience building with LLMs (OpenAI, Anthropic, Mistral, or similar) via API and SDK, Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, Chroma, etc. ), and prompt engineering, Solid understanding of REST APIs and experience integrating third-party services and data sources, Ability to work autonomously in a fast-paced remote environment with minimal hand-holding, Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies.
Nice to Have
Experience with model fine-tuning, RLHF, or custom training workflows, Familiarity with MLOps tooling and model deployment pipelines (Docker, cloud functions, etc. ), Exposure to multimodal systems (vision, audio, or document understanding), Background in data engineering or working with structured/unstructured data at scale, Contributions to open-source AI projects or a public portfolio of AI work
What You'll Do.
Design AI-powered features
Build AI-powered features
Deploy intelligent systems
Develop RAG pipelines
Maintain RAG pipelines
Develop vector search systems
Maintain vector search systems
Develop agent-based architectures
Maintain agent-based architectures
Write well-structured code
Evaluate model outputs
Benchmark model outputs
Iterate on model outputs
Document technical designs
Document system behaviour
Document deployment processes
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to scope requirements; Collaborate with cross-functional teams to architect AI solutions; Work with remote collaboration tools
Communication Scope
Translate complex technical concepts into scalable, working solutions; Document technical designs clearly; Document system behaviour clearly; Document deployment processes clearly
Full Job Description
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. AI ENGINEER Remote US Time Zones (EST–PST) Role Overview We are looking for a hands-on AI Engineer to design, build, and deploy intelligent systems across a range of client environments. This is a technically deep role suited to someone who thrives at the intersection of machine learning, software engineering, and product thinking. You will work across the full AI development lifecycle — from prototyping and model integration to production deployment and ongoing optimisation. The ideal candidate is fluent in modern AI tooling, thinks in systems, and can translate complex technical concepts into scalable, working solutions. Key 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 to support AI feature delivery - Evaluate, benchmark, and iterate on model outputs to ensure quality and reliability - Collaborate with cross-functional teams to scope requirements and architect AI solutions - Stay current with the rapidly evolving AI landscape and proactively introduce relevant tooling and approaches - Document technical designs, system behaviour, and deployment processes clearly and thoroughly Required Qualifications - Strong programming skills in Python; solid understanding of software engineering fundamentals - Hands-on experience building with LLMs (OpenAI, Anthropic, Mistral, or similar) via API and SDK - Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, Chroma, etc.), and prompt engineering - Familiarity with AI agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI - Solid understanding of REST APIs and experience in
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