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Job Description & How to Apply Below
Company Description
Heu.ai is dedicated to empowering enterprises to solve complex business challenges and deliver value through AI-powered solutions. With a highly skilled team of AI developers and data scientists, we transform innovative business ideas into tangible outcomes. Beyond technology development, we provide consultancy services to help businesses design and implement AI strategies while educating clients on AI capabilities and use cases. Our efforts extend to society through workshops that foster AI literacy in corporate environments, schools, and universities.
, our mission is to harness the transformative power of AI to unlock possibilities for businesses and communities alike.
Role Description
We are looking for a Generative AI Engineer who understands how to make AI actually work in real products. The role focuses heavily on prompt engineering, LLM integrations, and building AI-powered workflows and assistants.
You will work on building AI agents, automation systems, and intelligent workflows that integrate with real-world applications.
Responsibilities
Prompt Engineering & AI Workflow Design
Design and optimize prompt templates and structured prompting frameworks.
Implement prompting techniques such as RAG, tool-calling prompts, role prompting, and guardrails.
Build reusable prompt workflows and AI pipelines for production use.
Test, evaluate, and improve prompt performance for reliability and consistency.
AI Agent & Automation Development
Build AI agents and automation workflows using frameworks like Lang Chain, Lang Graph, or similar tools.
Integrate APIs, tools, and external data sources into AI systems.
Design multi-step AI workflows and tool-based reasoning pipelines.
LLM Integration & Data Workflows
Work with embeddings, vector databases, and retrieval pipelines.
Build RAG-based applications for search, assistants, and internal tools.
Connect LLM systems with databases, APIs, and external services.
Product Integration
Integrate AI capabilities into web applications, internal dashboards, and automation systems.
Build reusable AI modules, APIs, and assistants for different use cases.
Collaborate with engineering teams to deploy AI features into production.
Requirements
(2 years of experience in AI or building AI applications)
Strong understanding of prompt engineering and LLM behavior.
Experience building AI-powered workflows or assistants.
Good Python programming skills.
Experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).
Practical experience with vector databases (Pinecone, Chroma, Supabase, Qdrant, etc.).
Ability to design RAG pipelines and AI automation workflows.
Experience integrating APIs and external tools into AI systems.
Understanding of basic AI concepts like embeddings and model inference.
Nice to Have
Experience building AI agents or automation assistants.
Familiarity with Lang Chain, Lang Graph, or similar AI frameworks.
Experience with automation tools like n8n or Make.
Exposure to cloud platforms (Azure, AWS, or GCP).
Experience deploying AI systems into production environments.
What We’re Looking For
Someone who understands prompting deeply and knows how to get reliable results from LLMs.
A builder who can turn AI capabilities into working products and automation systems.
Someone curious about new AI tools, models, and agent frameworks.
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