Ai Engineer

11 hours ago

Singapore ELGO AI PTE. LTD. Full time

**Company Summary**:
As an AI Engineer, you’ll play a key role in the development and optimization of ELGO’s no-code platform and LLM-based workflows. Instead of model training or fine-tuning, your focus will be on building reusable, configurable, and scalable LLM-powered components and highly optimized task agents that can be orchestrated by users without writing code. We also constantly push the frontiers on LLM techniques and designs to ensure that our agents are state-of-the-art.

The ideal person for the role would love the fast-changing and dynamic environment, working with new technologies and translating that into real world impact. He/she would also enjoy the opportunity to work on multiple real-world LLM systems, and constantly push him/herself to be better. He/she is would also be extremely proactive, both in working and learning.

Caution: this is likely going to be the toughest role ever you would have in your life, but it could also be the most rewarding.

**Roles & Responsibilities**:

- Develop and optimize backend systems for LLM workflow orchestration (retrieval, chaining, evaluation, memory, task-based agent optimizations).
- Implement reusable components (e.g., retrieval nodes, validation agents, evaluators) to power the no-code platform.
- Integrate and manage third-party models (e.g., OpenAI, Anthropic, AWS Bedrock, open-source models).
- Develop and maintain multi-agent and tool-augmented AI workflows for common enterprise use cases.
- Work on document processing, cross-system integrations, RAG pipelines, contextual memory management, and prompt engineering best practices.
- Collaborate with front-end and platform engineers to support the no-code interface.
- Stay updated with emerging GenAI and agentic framework trends.

**Requirements**:
Core Requirements
- Strong Python programming skills with experience in).
- Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).
- Foundational programming knowledge (Git, Docker, OOP, FastAPI).

Key Traits
- Strong problem-solving and systems thinking.
- Bias for action and comfort working in a fast-paced startup environment.
- Clear communication and collaborative mindset.
- Curiosity and openness to new ideas and technologies.
- Willingness to contribute beyond code - including product feedback, customer empathy, and roadmap planning.

Optional Requirements
- Familiarity with vector databases (e.g., Qdrant, Weaviate, Pinecone etc.).
- Experience building agentic workflows or using any frameworks like LangChain, Langgraph, CrewAI, AutoGen, Vercel SDK, OpenAI Agents SDK etc.
- Good understanding about transformers, LLMs, multi-agent systems, tool uses/function calling.
- Prior work with evaluation frameworks for LLM performance and safety.

**What We Offer**:

- The opportunity to be part of a small but elite team of Asia's most promising GenAI startups.
- Exposure to real-world challenges and impactful deployments.
- A supportive and transparent team environment that values outcomes over hours. No politics, full focus on solving real problems.
- Growth opportunities across product, engineering, AI and R&D.

**The Interview Process**:

- There will be a total of 3 rounds of interview:

- 1st round: 30 minutes of general Q&A with the CEO
- 2nd round: 60 minutes technical session, where you will be given a real problem and is required to code out the solution within 30 minutes. Technical Q&A for the remaining time.
- 3rd round: 15 minutes for work arrangements and compensation package discussions.

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