GenAI Engineer

Description

We are looking for an GenAI Engineer to drive the development of AI-powered conversation agents, real-time chat moderation systems and generative content solutions within the Tango application and related projects.

Responsibilities

• Design, develop, and optimize large language models (LLMs) and generative AI solutions for various applications, ensuring performance scalability and real-time response capabilities.
• Fine-tune and customize open-source and proprietary LLMs for domain-specific applications.
• Implement RLHF and other model improvement techniques.
• Optimize model inference, latency, and memory footprint for scalability and efficiency.
• Build LLM-powered AI agents capable of autonomous decision-making and multi-step reasoning.
• Implement memory-augmented and multi-agent architectures for long-term task execution.
• Design, test, and optimize prompts for various AI-driven applications.
• Develop and evaluate prompt strategies for improved model performance and cost-efficiency.
• Work with APIs, on-premises, and cloud-based LLM hosting solutions.

Collaboration & Research

• Conduct research to stay on top of emerging trends in AI at large.
• Research and experiment with SOTA (State-of-the-Art) AI techniques, architectures, and frameworks
• Collaborate with cross-functional teams to understand project requirements, align AI solutions with business objectives and integrate models into real-world applications.
• Contribute to open-source projects, research papers, or internal documentation.

Requirements

• Bachelor’s/Master’s/Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role with a focus on generative models and retrieval-augmented techniques.
• Experience in fine-tuning and model compression techniques.
• Proficiency in Python and AI frameworks like PyTorch, TensorFlow.
• Familiarity with open-source LLM models (Llama, Falcon, Mistral, GPT-NeoX, etc.).
• Hands-on experience with Hugging Face, LangChain, LlamaIndex, OpenAI APIs, or similar ecosystems.
• Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.) and retrieval-augmented generation (RAGpipelines).
• Experience with autonomous AI agents and self-improving LLM architectures.
• Experience with multi-modal models (e.g., integrating text, images, or other data forms).
• Knowledge of LoRA, QLoRA, and PEFT (Parameter Efficient Fine-Tuning) and other cost-effective model adaptation techniques.
• Understanding of hallucination reduction and fact-checking techniques for LLMs.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

What we offer:

• Stock options grant (we’re a Silicon Valley Company)
• Competitive salary
• On-site position with 4 days from office / 1 day from home (no remote)
• Medical insurance for you and 75% off for your relatives
• Free lunches and dinners
• Parking
• Multisport card
• Cheerful team spirit and fun office atmosphere

If this sounds like you, apply and help empower live entertainers and creators to build independent businesses around their live talents.

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