AI Engineer

About the Role

The company is looking for a hands-on professional who thrives at the intersection of machine learning, software engineering, and product thinking. You will be responsible for staying current with the rapidly evolving AI landscape and introducing relevant tooling and approaches to the team.

Hire Hangar is committed to building a long-term, remote career for its employees. As a remote worker, you will have the flexibility to work from anywhere, with a focus on delivering high-quality results and collaborating with the team through remote collaboration tools.

What You Will Do

• 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 behavior, and deployment processes clearly and thoroughly
• Develop and maintain technical documentation for AI systems and workflows
• Participate in code reviews and ensure high-quality code standards

What We Are Looking For

• Strong programming skills in Python and 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 integrating third-party services and data sources
• Ability to work autonomously in a fast-paced remote environment with minimal hand-holding
• Prior remote work experience, fluency with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar)
• Experience working 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 strong public portfolio of AI work

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with fast-growing global companies
• Flexible remote work arrangement with a focus on work-life balance
• Access to cutting-edge AI technologies and tools
• Collaborative and dynamic work environment
• Professional development opportunities and training
• Recognition and reward for outstanding performance
• Access to a global network of professionals in the AI industry

• Be prepared to showcase your portfolio and experience working with AI technologies, highlighting specific projects and accomplishments.
• Develop a strong understanding of machine learning, software engineering, and product thinking to stand out in the application process.
• Familiarize yourself with the company's technology stack and be prepared to discuss how you can contribute to it.
• Practice your communication skills, as the ability to translate complex technical concepts into simple language is crucial for this role.
• Research the company culture and values to ensure you are a good fit for the team and can thrive in a remote work environment.
• Be prepared to discuss your experience with remote collaboration tools and platforms, and how you stay productive and motivated while working remotely.