AI Engineer

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.AI EngineerRemoteUS Time Zones (EST–PST)Role OverviewWe 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 ResponsibilitiesDesign and build AI-powered features, pipelines, and automation workflows from scratchIntegrate and fine-tune LLMs, embedding models, and other ML systems into production applicationsDevelop and maintain RAG pipelines, vector search systems, and agent-based architecturesWrite clean, well-structured code across backend and API layers to support AI feature deliveryEvaluate, benchmark, and iterate on model outputs to ensure quality and reliabilityCollaborate with cross-functional teams to scope requirements and architect AI solutionsStay current with the rapidly evolving AI landscape and proactively introduce relevant tooling and approachesDocument technical designs, system behaviour, and deployment processes clearly and thoroughlyRequired QualificationsStrong programming skills in Python; solid understanding of software engineering fundamentalsHands-on experience building with LLMs (OpenAI, Anthropic, Mistral, or similar) via API and SDKPractical experience with RAG architectures, vector databases (Pinecone, Weaviate, Chroma, etc.), and prompt engineeringFamiliarity with AI agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAISolid understanding of REST APIs and experience integrating third-party services and data sourcesAbility to work autonomously in a fast-paced remote environment with minimal hand-holdingMust 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. Applications without this experience will not be considered.Preferred QualificationsExperience with model fine-tuning, RLHF, or custom training workflowsFamiliarity 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 scaleContributions to open-source AI projects or a strong public portfolio of AI workTools & TechnologyPython, REST APIs, and relevant AI/ML librariesLLM platforms: OpenAI, Anthropic, Mistral, Hugging FaceVector databases and embedding infrastructureAgent frameworks: LangChain, LlamaIndex, CrewAI, or similarCloud infrastructure (AWS, GCP, or Azure)Google Workspace, Slack, Zoom, and remote collaboration toolsPlease note: It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.We connect top talent with vetted employers, competitive pay, and real growth opportunities.Originally posted on Himalayas