Generative AI Engineer
24 hours ago
Key Responsibilities
- Design, build, and optimize
LLM-based applications
with a focus on
RAG pipelines - Develop and integrate retrieval systems (vector databases, embeddings, search engines) with generative models
- Fine-tune and evaluate large language models for specific business use cases
- Collaborate with data scientists, ML engineers, and product teams to deliver production-ready AI solutions
- Implement best practices for model deployment, monitoring, and scaling in cloud environments
- Research emerging AI techniques and apply them to improve performance, accuracy, and efficiency
- Ensure compliance with ethical AI practices, data privacy, and security standards
Requirements
- Multiple years of experience in applied AI/ML engineering
- Strong knowledge of
LLMs
(e.g., GPT, LLaMA, Mistral) and
RAG architectures - Proficiency in
Python
and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) - Experience with
vector databases
(e.g., Pinecone, Weaviate, FAISS) and search technologies - Familiarity with
cloud platforms
(AWS, Azure, GCP) and containerization (Docker, Kubernetes) - Solid understanding of NLP concepts: embeddings, tokenization, semantic search
- Strong problem-solving skills and ability to work in fast-paced environments
- Excellent communication skills and collaborative mindset
Nice-to-Have Skills
- Experience with
multi-modal AI
(text, image, audio) - Knowledge of
MLOps
practices and tools (MLflow, Kubeflow) - Background in
knowledge graphs
or advanced information retrieval - Contributions to open-source AI/ML projects
Email:
Contact Number: /
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