SDE II (AI Engineer)

Position Overview

We are looking for an AI Engineer with a minimum of 2 years of experience, preferably in the field of AI. We expect you to be hands-on working with various LLMs (large language models) and foundational AI models . This role is application-focused, requiring the ability to test, fine-tune, and deploy AI agents tailored for specific tasks. The ideal candidate should be well-versed in open-source and proprietary AI solutions , selecting the most effective model for each problem.

You will work closely with our product and engineering teams to develop scalable AI-driven applications , leveraging LLMs in real-world use cases. A strong understanding of model evaluation techniques such as LLM as a Judge , fine-tuning methodologies, and prompt engineering strategies is essential.

Key Responsibilities

• Work with different LLMs (open-source & proprietary) , including OpenAI GPT, Anthropic Claude, Mistral, Llama, and open-weight alternatives like Falcon, Bloom, and others.
• Evaluate and compare AI models to determine the best solution for specific applications.
• Fine-tune and optimise AI models for domain-specific use cases, ensuring efficiency and accuracy.
• Develop and implement AI agents capable of performing specialised tasks.
• Define the best training document formats and datasets required for model fine-tuning and reinforcement learning.
• Utilise LLM as a Judge framework to assess AI-generated responses and improve model accuracy.
• Model Monitoring : Tracks performance metrics like accuracy, latency, and drift to detect issues early.
• Data Quality Checks : Ensures input data remains consistent and relevant, preventing model degradation.
• Bias and Fairness Audits : Identifies and mitigates biases in AI predictions.
• Explainability & Debugging : Provides insights into model decision-making, making AI more interpretable.
• Real-time Anomaly Detection : Helps detect outliers or failures in production.
• Automated Alerts & Logging : Sends alerts when performance degrades, aiding in proactive issue resolution.
• Deploy models via APIs, cloud platforms (AWS / GCP / Azure), or on-prem solutions .
• Collaborate with software engineers to integrate AI models into existing applications.
• Stay current with the latest advancements in AI model architectures, fine-tuning strategies, and inference optimisation .
• Implement responsible AI practices, ensuring transparency, bias reduction, and ethical considerations in model deployment.

Required Skills & Experience

Nice-to-Have Skills

Why Join Us?

Perks

Compensation that rewards your mastery, supplemented with performance-driven incentives.

A wholesome package of training and developmental avenues that constantly enrich your skill set. An ecosystem fostering innovation, where every voice harmonizes into the choir of

progress. A chance to script your chapter in Nbyula's success saga celebrated with fervor.

Who is an ideal match for being a terraformer at Nbyula? All the attributes that we are looking for in an ideal teammate.

About Us : Nbyula is a German technology brand headquartered in Berlin with a Research & Development Center in Bengaluru, Karnataka, operational since 2014. Nbyula believes in creating an open world where opportunities and talent are not hindered by borders or bureaucracies. Nbyula is materializing this by leveraging the bleeding edge of technologies like cloud, distributed computing, crowdsourcing, automation, gamification, and many more. The North Star is to create a horizontal marketplace encompassing people, content, products & services for international work and studies to enable, train and empower "Skillizens without Borders''.

To learn more about us, p l ease visit https : / / nbyula.com / about-us