AI Engineer

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Early Applicant

Job Description

Key Responsibilities

Understand the business problem, POC objectives, and evaluation metrics
Profile and clean sample datasets for experimentation (lightweight data prep)
Build and test simple pipelines for data ingestion, prompt construction, and output evaluation.
Design experiments to test different model configurations, prompts, or retrieval strategies.
Analyse Gen AI outputs for quality, accuracy, and alignment with requirements.
Identify common failure modes (hallucination, bias, irrelevant answers, factual errors).
Provide insights and recommendations to improve model performance in quick iterations.
Support SMEs in defining ground truth benchmarks for evaluation.
Collaborate with developers on integrating models into the POC workflow.

Skills / Competencies

Understanding of Gen AI concepts (tokenization, embeddings, RAG, prompting, evaluation).
Familiar with AWS Bedrock services
Ability to do rapid experimentation rather than perfect models.
Basic proficiency in Python and Gen AI tools (e.g., model SDKs, vector DBs).
Analytical mindset: can quantify subjective output (accuracy, relevance, readability).
Good data wrangling skills to prepare small datasets quickly.

Minimum Qualifications

Strong analytical and planning skills;
Good communication and presentation skills;
Excellent problem-solving skills;
Understanding of Gen AI concepts (tokenization, embeddings, RAG, prompting, evaluation).
Familiar with AWS Bedrock services
Ability to do rapid experimentation rather than perfect models.
Basic proficiency in Python and Gen AI tools (e.g., model SDKs, vector DBs).