Generative AI Developer - LLM Models

We are looking for a highly skilled Generative AI Developer :

We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI / ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities :

• Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar.
• Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search).
• Build and integrate LLM-based APIs into products and systems.
• Optimize inference performance, latency, and throughput of LLMs for deployment at scale.
• Conduct prompt engineering and design strategies for prompt optimization and output consistency.
• Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias.
• Manage training data pipelines and ensure data privacy, compliance, and quality standards.
• Experiment with open-source LLM frameworks and contribute to internal libraries and tools.
• Collaborate with MLOps teams to automate deployment, CI / CD pipelines, and monitoring of LLM solutions.
• Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required :
• LLMs & Transformers : Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon).
• Model Training / Fine-Tuning : Hands-on experience with training / fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT.
• Prompt Engineering : Expertise in designing, testing, and refining prompts for specific tasks and outcomes.
• Python : Strong proficiency in Python with experience in ML and NLP libraries.
• Frameworks : Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks.
• MLOps : Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management.
• Data Handling : Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills :
• Deployment : Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices.
• Vector Databases : Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications.
• LLM APIs : Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc.
• Containerization : Docker, Kubernetes, and cloud-native services for scalable model deployment.
• Security & Ethics : Understanding of LLM security, hallucination handling, and responsible AI :
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 2-4 years of experience in ML / NLP roles with at least 12 years specifically focused on generative AI and LLMs.
• Prior experience working in a research or product-driven AI team is a plus.
• Strong communication skills to explain technical concepts and findings Skills :
• Analytical thinker with a passion for solving complex problems.
• Team player who thrives in cross-functional settings.
• Self-driven, curious, and always eager to learn the latest advancements in AI.
• Ability to work independently and deliver high-quality solutions under tight deadlines.

ref : hirist.tech)