AI Engineer

Job Description

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, opensource 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

Job 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.

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.

Work Location