Ai Engineer
1 day ago
**Company Summary**:
Our mission is to simplify enterprise AI adoption by making advanced GenAI capabilities accessible to non-technical teams. We are passionate about workflow orchestration, context-aware agents, and enterprise-grade deployment, all grounded in responsible, secure, and user-centric design. Our vision is to become the go-to platform for practical AI solutions in Asia Pacific.
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 that can be orchestrated by users without writing code.
**Roles & Responsibilities**:
- Develop and optimize backend systems for LLM workflow orchestration (retrieval, chaining, evaluation, memory).
- 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 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
- Bachelor's degree in Computer Science, AI/ML Engineering, or equivalent experience with about 2-4 years of relevant working experience.
- Strong Python programming skills with experience in LangChain, FastAPI, or equivalent frameworks.
- Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).
- Experience with cloud platforms (primary: AWS; secondary: Azure, GCP).
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 etc.).
- Experience building agentic workflows or using frameworks like AutoGen, LangFlow, LangChain or CrewAI.
- Frontend familiarity (e.g., React.js) or backend scripting with Golang.
- Prior work with evaluation frameworks for LLM performance and safety.
**What We Offer**:
- A front-row seat to building the next generation of enterprise AI tooling.
- The opportunity to help shape one 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.
- Growth opportunities across product, engineering leadership, and R&D.
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