AI Engineer - #1113091

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.

You’ll work closely with our CTO and engineering team to implement advanced LLM workflows,

multi-agent logic, evaluation mechanisms, and performance monitoring that power real-world

business applications.

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.

• Conduct systematic evaluations and performance tracking of LLM applications in production.

• 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 relevant working experience.

• Strong Python programming skills with experience in LangChain, FastAPI, or equivalent

frameworks.

• Experience in building production-grade RAG applications and integrating with APIs.

• Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).

• Experience with cloud platforms (primary: AWS; secondary: Azure, GCP).

• Understanding of LLM architecture and practical applications.

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.