Generative AI Engineer

Apertera (formerly Alexa Translations); Karachi Division; On-site; PKR 1,800,000 - 3,600,000; Full time

Job summary

Apertera is seeking a Generative AI Engineer to advance our translation-focused GenAI engine, using GenAI and Large Language Model (LLM) technologies. You will report to the AI Innovation team lead, prototype state-of-the-art algorithms, and collaborate with software to deploy models.

You will operate at the intersection of LLM engineering, machine translation, cloud infrastructure, and evaluation, pushing GenAI into translation scenarios with innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, AI, ML, or related fields.
• Master’s degree preferred.
• 2+ years of industry experience developing GenAI and LLM applications.
• Proficiency in Python programming and software development practices.
• Experience with HuggingFace APIs or Amazon Bedrock.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Hands-on experience with PyTorch, TensorFlow, Pandas.

Responsibilities

• Implement state-of-the-art LLM techniques: continued pre-training, instruction fine-tuning, preference alignment, and deployment.
• Work with ML and data engineers to design, build, and test models.
• Develop scalable algorithms for training and inference of generative models using deep learning frameworks.
• Train and evaluate generative models with metrics and benchmarks, tune hyperparameters.
• Build end-to-end prototypes that are production-ready.
• Collaborate with software and DevOps to deploy GenAI models.
• Document code, algorithms, and results for reproducibility and knowledge sharing.

Skills

Strong problem-solving skills

Excellent communication skills

Self-driven

Time management

Team collaboration

Adaptability to fast-paced environment

Education

Bachelor's degree in Computer Science, AI, ML, or related fields

Master’s degree preferred

Tools

Python

PyTorch

TensorFlow

Pandas

HuggingFace APIs

Amazon Bedrock

AWS

GCP

Azure

Job description

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:

• Dedication
• Fanatical commitment to quality and service

Generative AI Engineer About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:

• Innovation
• Dedication
• Fanatical commitment to quality and service
• Resourcefulness
• Collaboration

About the Role

We are looking for a Generative AI Engineer to develop our next‑generation intelligent translation and translation‑related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead in AI Innovation, develop and implement state‑of‑the‑art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to to work at the intersection of LLM engineering, machine translation, cloud infrastructure, and evaluation. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities

• Implement state‑of‑the‑art LLM techniques including continued pre‑training, instruction fine‑tuning, preference alignment, and LLM deployment.
• Work closely with machine learning engineers and data engineers to design, build, and test models.
• Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
• Train and evaluate generative models using appropriate metrics and benchmarks, fine‑tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
• Built end‑to‑end prototypes that are production ready.
• Work closely with software and DevOps engineers to deploy GenAI models.
• Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contributing to internal knowledge sharing and continuous improvement initiatives.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Master’s degree is preferred.
• 2+ years of industry experience developing GenAI and LLM applications is preferred.
• Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production‑grade software systems.
• Working knowledge and project‑based record of all of the following: context engineering, RAG, harness engineering.
• Working knowledge and project‑based record of at least one of the following is a plus: LLM post‑training, APO, agentic workflow.
• Strong problem‑solving skills, attention to detail, and the ability to work independently and collaboratively in a fast‑paced environment.
• Hands‑on experience with Huggingface APIs or Amazon Bedrock.
• Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
• Experience with cloud platforms like AWS, GCP, or Azure
• Excellent problem‑solving skills, critical thinking, and the ability to work independently and collaboratively in a fast‑paced environment.
• Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross‑functionally with diverse teams.
• Self‑driven, self‑motivated with excellent time management skills
• Excellent organizational, communication, and interpersonal skills
• Ability to adapt to shifting priorities without compromising deadlines and momentum.