Senior AI/LLM Engineer; Python; Remote
Singapore
Listed on 2026-10-14
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Software Development
AI Engineer (Applied/Software), Backend Developer, Python, Machine Learning/ ML Engineer
Kake is a remote-first company and a people-first global community of senior engineers. Kake engineers are behind some of the world’s most innovative products (Brands you’ve heard!), from Fortune 500 to fast-growing companies. We believe it’s not where your table is, but what you bring to the table that matters. Our community spans 45,000+ engineers across 55+ countries; join a culture where great people stay, grow, and thrive (and love eating kake!).
Senior AI/LLM Engineers with strong Python experience, skilled in designing, building, and product ionizing LLM-powered applications and AI systems 's a great fit for people who enjoy working at the intersection of software engineering and applied AI, and who take ownership from prototyping through production deployment.
What you’ll build and own- Design, build, and deploy LLM-powered features and applications using Python.
- Develop and maintain backend services and APIs (e.g., FastAPI) that expose AI/LLM capabilities to other systems.
- Build and optimize RAG pipelines, including embeddings, vector search, and retrieval strategies.
- Design, test, and iterate on prompts, agents, and orchestration flows using frameworks such as Lang Chain, Llama Index, or similar.
- Integrate with LLM providers and APIs (e.g., OpenAI, Anthropic, open-source models) and manage tradeoffs around cost, latency, and quality.
- Evaluate model outputs systematically, building tooling and metrics to test accuracy, safety, and regression across iterations.
- Work with containerized environments and data infrastructure (e.g., PostgreSQL, Redis, vector databases) to support reliable AI systems in production.
- Collaborate with cross-functional stakeholders to translate ambiguous product needs into technically sound AI solutions.
- Strong proficiency in Python and experience with FastAPI or similar backend frameworks.
- Experience working with LLM APIs (e.g., OpenAI, Anthropic, or similar) and frameworks such as Lang Chain or Llama Index.
- Experience with RAG architectures
, embeddings, and vector databases (e.g., Pinecone, Weaviate, pgvector, or similar). - Hands‑on experience with Docker and containerized development environments.
- Experience working with PostgreSQL, Redis, or similar data stores.
- Strong experience writing functional and integration tests, including evaluation frameworks for AI/LLM output quality.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.
- Experience fine‑tuning or evaluating open-source LLMs.
- Familiarity with prompt engineering best practices and agentic workflows.
- Experience with distributed systems, streaming (e.g., Kafka), or large‑scale applications.
- Background in machine learning fundamentals (e.g., scikit‑learn, PyTorch, or Tensor Flow).
- Comfortable working flexible hours to overlap with distributed teams across different time zones.
- US Timezone Overlap
: 5h–6h daily PST
The icing on the Kake:
- Competitive Pay in USD:
Work globally, get paid globally. - Fully Remote:
Simply put, we trust you. - Better Me Fund:
We invest in your personal growth and passions. - Compassion is Badass:
Join a community that invests in social good.
Quick note:
Due to the high volume of applications, only shortlisted candidates will be contacted.
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