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EnsegAi
EnsegAi

Technical Co-founder / Founding Engineer – AI & Data Engineering

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
AI
Data Engineering
+26

Contract role
a month ago
Apply now

Company Description

EnsegAi is designed to support lean B2C marketing teams at small and mid-sized businesses by launching high-impact campaigns quickly and efficiently. With EnsegAi, marketers can save up to 70% of their time by planning and setting up campaigns faster, even with smaller teams.

Role Description

Location: Remote

Type: Equity-based (with opportunity for future compensation)

This is a part-time fully remote for a Technical Co-founder / Founding Engineer – AI & Data Engineering at EnsegAi. As a Technical Co-founder, you will be responsible for leading AI and data engineering initiatives, developing and optimizing machine learning models, managing data pipelines, and collaborating with cross-functional teams to enhance the platform’s capabilities. You will also provide technical guidance, troubleshoot complex issues, and ensure the scalability and reliability of the AI systems.

Responsibilities

  • Design & implement agent-based workflows powered by LLMs (OpenAI, Claude, Bedrock)
  • Build scalable data integration pipelines from data sources
  • Integrate RAG pipelines and vector search for knowledge-based interactions
  • Create evaluation frameworks (e.g. prompt testing, hallucination scoring, A/B eval agents)
  • Set up backend infra (GCP, Docker, CI/CD) to support rapid prototyping and release

Qualifications

  • Strong Analytical Skills and Research experience
  • Expertise in AI, machine learning, and data engineering
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Proven experience in a leadership role within a tech startup
  • Ability to work on-site in the Greater Sydney Area

Required

  • Hands-on with LLMs, GenAI frameworks (any of these LangChain, CrewAI, LangGraph, ADK)
  • Solid grounding in Python, APIs, and modern data engineering practices
  • Experience with embedding models, vector databases.
  • Knowledge of prompt tuning, RAG patterns, eval pipelines (JSONL/CSV-based testing)
  • Bonus: Experience working on conversational platforms

What you will get

  • Founding equity & deep product ownership
  • Autonomy to lead AI architecture and data design
  • Early access to real-world user feedback and opportunity to shape roadmap

Reach out directly to email info@ensegai.com if you have any question.

About EnsegAi

🔗Website
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