Senior NLP Engineer - LLM Lifecycle & Agentic Systems

Jobgether • Switzerland

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and optimize large language models for AI companion and conversational systems at global scale. Own end-to-end LLM lifecycle from training to production monitoring and alignment. Collaborate with multidisciplinary teams to implement advanced NLP techniques and agentic frameworks.

Key Highlights

Build and maintain agentic frameworks including agent harnesses, reasoning loops, and chat orchestration

Own full LLM lifecycle: data preparation, training, fine-tuning, deployment, and production monitoring

Implement alignment methods such as RLHF, DPO, and post-training optimization strategies

Work in research-driven production environment with cutting-edge NLP experimentation

Fully remote position within globally distributed engineering culture

Key Responsibilities

Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale

Design, build, and maintain agentic frameworks including agent harnesses, reasoning loops, and chat orchestration systems

Own the end-to-end LLM lifecycle from data preparation and model training to deployment and production monitoring

Research and evaluate state-of-the-art NLP techniques and translate them into actionable improvements for the product roadmap

Implement and improve alignment methods such as RLHF, DPO, and other post-training optimization strategies

Collaborate with validation, content, and data teams to design experiments and measure model quality and performance

Contribute to scalable backend systems supporting high-throughput model inference and production AI workloads

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Technical Skills Required

training and fine-tuning large language models agentic pipelines and LLM orchestration systems transformer architectures PyTorch alignment techniques (RLHF, DPO) backend systems engineering with Python scalable deployment architectures

Benefits & Perks

Fully remote work opportunity with global team flexibility

28 days of annual vacation plus 7 additional wellness days

Performance bonuses including referral rewards up to $5,000

Financial support for professional development (50% coverage)

English language learning discounts

Annual health support budget up to $1,000

Workplace support allowance up to $1,000 every three years

Internal rewards system with redeemable bonuses

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Nice to Have

experience with multimodal models (text, image, video)

distributed training on large datasets

CV-related model development

Job Description

This role sits at the core of building next-generation AI systems that power large-scale social and conversational products used by millions of people worldwide. You will be responsible for designing and improving advanced language models that enable intelligent, engaging, and human-like interactions across AI-driven companions and chat systems. The environment is highly research-driven yet production-focused, combining cutting-edge NLP experimentation with real-world deployment at global scale. You will work closely with multidisciplinary teams spanning data, validation, and product to continuously refine model behavior and quality. The role offers the opportunity to influence the full LLM lifecycle—from training and fine-tuning to deployment and optimization. You will also contribute to shaping the organization’s NLP roadmap by tracking the latest advancements in AI research and open-source ecosystems. This is a fully remote position within a globally distributed, innovation-focused engineering culture.

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