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EverAI Logo EverAI · IT - Software Development

Tech Lead, LLM & Generative AI

Finland B2B · Job Posted February 21, 2026
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Job Description

EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product. This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.

Job Responsibility

  • Ship Code & Lead from the Front: Act as a Player/Coach, Architect the system and mentor the team, spend significant time hands-on in the codebase (Python/PyTorch), Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization), decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline, Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets
  • Architect High-Precision Moderation: Build the immune system of the platform, design and train custom classifiers to detect and filter non-consensual or illegal content, Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems

Requirements

  • 8+ years of engineering experience
  • Significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch
  • Comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content
  • Understand the technical rigor required to moderate it effectively without breaking the user experience
  • Intuition for Alignment: understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the 'soul' of a chatbot
  • Doer Mindset: value velocity, can distinguish between a 'perfect' academic solution and a 'shippable' production solution
  • Owner: obsess over metrics, regressions, and the user experience long after the code has been merged

What we offer

  • Paid Time Off: 4 weeks (20 working days) of PTO per year
  • Annual Gathering: A yearly in-person meetup
  • Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
  • Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit)
  • Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
  • Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup
  • AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others
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Requirements
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  • 8+ years of engineering experience with a significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
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  • Doer Mindset: valuing velocity and distinguishing between a 'perfect' academic solution and a 'shippable' production solution
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  • Ship Code & Lead from the Front: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance
  • Architect High-Precision Moderation: Build the immune system of the platform
  • Design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment
  • Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems
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What we offer
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Tech Lead, LLM & Generative AI

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Requirements
Requirements
  • 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
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  • Ship Code & Lead from the Front
  • Act as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency
  • Own the Model Lifecycle
  • Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets
  • Architect High-Precision Moderation
  • Build the immune system of the platform
  • design and train custom classifiers to detect and filter non-consensual or illegal content
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  • Annual in-person meetup
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
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everai.ai Logo
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Expiration Date
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Requirements
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  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience
  • Understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the 'soul' of a chatbot
  • Can distinguish between a 'perfect' academic solution and a 'shippable' production solution
  • Obsess over metrics, regressions, and the user experience long after the code has been merged
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  • Ship Code & Lead from the Front: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance
  • Architect High-Precision Moderation: Build the immune system of the platform
  • Design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment
  • Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems
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  • Annual in-person meetup
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
  • Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit)
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Requirements
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  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience
  • Intuition for Alignment: understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the 'soul' of a chatbot
  • Doer Mindset: value velocity, can distinguish between a 'perfect' academic solution and a 'shippable' production solution
  • Owner: obsess over metrics, regressions, and the user experience long after the code has been merged
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  • Ship Code & Lead from the Front: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance
  • Architect High-Precision Moderation: Build the immune system of the platform
  • design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment
  • Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems
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  • Annual Gathering: A yearly in-person meetup
  • Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
  • Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit)
  • Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
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Expiration Date
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Requirements
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  • Significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch
  • Comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content
  • Understand the technical rigor required to moderate it effectively without breaking the user experience
  • Intuition for Alignment
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  • Ship Code & Lead from the Front
  • Act as a Player/Coach
  • Own the core chat loop
  • Own the Model Lifecycle
  • Drive our strategy for SFT and RLHF/DPO
  • Manage the "Data Engine"
  • Architect High-Precision Moderation
  • Build the immune system of the platform
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  • Annual Gathering
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp
  • Co-Working Space Budget (35 EUR / 40 USD per visit up to twice per month)
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  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience
  • Understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the 'soul' of a chatbot
  • Value velocity
  • can distinguish between a 'perfect' academic solution and a 'shippable' production solution
  • Obsess over metrics, regressions, and the user experience long after the code has been merged
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  • Ship Code & Lead from the Front: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance
  • Architect High-Precision Moderation: Build the immune system of the platform
  • design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment
  • Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems
What we offer
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  • Fully remote
  • 4 weeks (20 working days) of PTO per year
  • Annual in-person meetup
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
  • Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit)
  • Learning Budget: Dedicated funds to support your professional growth
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EverAI
Expiration Date
Until further notice
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Requirements
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  • 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively
  • Understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the 'soul' of a chatbot
  • Value velocity
  • can distinguish between a 'perfect' academic solution and a 'shippable' production solution
  • Obsess over metrics, regressions, and the user experience
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  • Ship Code & Lead from the Front: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch)
  • Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency
  • Own the Model Lifecycle: Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
  • Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets
  • Architect High-Precision Moderation: design and train custom classifiers to detect and filter non-consensual or illegal content
What we offer
What we offer
  • Fully remote
  • 4 weeks (20 working days) of PTO per year
  • Annual in-person meetup
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp
  • Co-Working Space Budget: 35 EUR / 40 USD per visit up to twice per month
  • Learning Budget: Dedicated funds to support your professional growth
  • Company laptop provided + monitor budget up to $250
  • Premium access to AI tools (ChatGPT, Cursor, Hugging Face)
  • Fulltime
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Arrow Right

Tech Lead, LLM & Generative AI

Tech Lead to take the helm of our LLM team and own the architecture, training, a...
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Latvia
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Salary:
Not provided
everai.ai Logo
EverAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of engineering experience
  • Significant portion dedicated to shipping ML/LLM features to millions of active users
  • Proficient in Python/PyTorch
  • Comfortable with modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
  • Comfortable working with NSFW content
  • Understand technical rigor required to moderate it effectively
  • Intuition for Alignment
  • Doer Mindset
  • Owner mindset
Job Responsibility
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  • Ship Code & Lead from the Front
  • Act as a Player/Coach
  • Own the core chat loop
  • Own the Model Lifecycle
  • Drive strategy for SFT and RLHF/DPO
  • Manage the Data Engine
  • Architect High-Precision Moderation
  • Build custom classifiers
What we offer
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  • Fully remote
  • 4 weeks (20 working days) of PTO per year
  • Annual in-person meetup
  • Up to $200 per year for wellbeing expenses
  • Unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp
  • Co-Working Space Budget up to 35 EUR / 40 USD per visit
  • Learning Budget
  • Company laptop provided
  • Monitor budget up to $250
  • Premium access to AI tools (ChatGPT, Cursor, Hugging Face)
  • Fulltime
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