Senior AI/LLM Engineer (Python) - Remote

Kake; Singapore; Remoto; SGD 192.000 - 295.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive Pay in USD

Fully Remote

Better Me Fund

Compassion is Badass

Descrizione del lavoro

Kake is a remote-first company building AI-powered solutions with a global community of engineers. You will design, build, and productionize LLM-powered features, APIs, and data pipelines, collaborating across teams to turn product needs into robust AI systems.

The role emphasizes Python, FastAPI, LangChain/LlamaIndex, and scalable architectures, with a strong focus on performance, cost, and safety in production.

Competenze

• Proficient in Python and backend frameworks like FastAPI.
• Experience deploying and productionizing AI/LLM features.
• Strong English communication and ability to work remotely.

Mansioni

• Design, build, and deploy LLM-powered features using Python.
• Develop core backend services and APIs exposing AI capabilities.
• Build and optimize RAG pipelines with embeddings and vector search.
• Design and iterate prompts, agents, and orchestration with LangChain or LlamaIndex.
• Integrate with LLM providers and manage cost, latency, and quality.
• Evaluate model outputs with tooling and metrics for safety and accuracy.
• Work with Docker and data stores to support production AI systems.
• Collaborate with cross-functional teams to translate needs into AI solutions.

Conoscenze

Python

FastAPI

LLM APIs

Docker

PostgreSQL

Redis

Strumenti

LangChain

LlamaIndex

Pinecone

Weaviate

pgvector

Descrizione del lavoro

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 productionizing LLM-powered applications and AI systems at scale. It'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 LangChain, LlamaIndex, 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.

Core Requirements

• 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 LangChain or LlamaIndex.
• 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.

Nice-to-Have

• 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 TensorFlow).
• Comfortable working flexible hours to overlap with distributed teams across different time zones.

Additional

• US Timezone Overlap: 5h–6h daily PST

Why Join Kake?

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.