
Artificial Intelligence Engineer
5 days ago
Job Title: Artifical Intelligence Engineer
This role involves designing and developing AI solutions to automate business processes.
Key Responsibilities:
- Develop, fine-tune, and integrate Large Language Models (LLMs) into enterprise applications using GPT, LLaMA, Claude, etc.
- Implement prompt engineering techniques, embeddings, and RAG pipelines to improve model performance and scalability.
- Understand the building of Agentic AI applications using Langgraph and similar technologies.
- Design and implement APIs, microservices, and front-end/back-end integrations for GenAI applications.
- Work with vector databases such as Pinecone, FAISS, Weaviate, Milvus to enable semantic search capabilities.
- Deploy solutions on cloud-based AI platforms such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI.
- Collaborate with data scientists and solution architects to deliver proof-of-concepts and production-ready applications.
- Ensure that AI solutions adhere to responsible AI, data privacy, and security guidelines.
Required Skills:
- Strong programming skills in Python, preferably with experience in APIs, microservices, Flask/FastAPI/Django.
- Knowledge of vector embeddings and vector databases.
- Experience with orchestration frameworks such as LangChain, LlamaIndex, or similar.
- Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
- Experience working with cloud-based AI services such as Azure, AWS, or GCP.
- Strong problem-solving and debugging skills.
- Good knowledge of PyTorch, TensorFlow, Hugging Face Transformers.
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Ongoing training and development opportunities.
Requirements:
- 6+ years of experience in AI engineering.
- Strong understanding of machine learning concepts.
- Excellent communication and teamwork skills.
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