Artificial Intelligence Engineer
Job Description
Role: AI Engineer
Experience: 5+ Years
Job Summary
We are looking for experienced AI Engineers with hands-on expertise in Generative AI, Large Language Models (LLMs), and AI application development to build and deploy scalable, production-ready AI solutions.
Key Responsibilities
- Design and develop GenAI applications using LLMs such as Claude and GPT.
- Build LLM-powered solutions, including AI assistants, chatbots, and intelligent automation workflows.
- Develop prompt engineering strategies and optimize model responses.
- Integrate LLM APIs into enterprise applications and business workflows.
- Implement Retrieval-Augmented Generation (RAG) solutions and vector database integrations.
- Evaluate model performance, accuracy, and response quality.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
Required Skills
- 5+ years of relevant experience in AI Engineering, GenAI, or related roles.
- Hands-on experience with Claude (Anthropic) and GPT/OpenAI models.
- Strong understanding of LLMs, Generative AI, and prompt engineering.
- Experience with Python and API integrations.
- Knowledge of RAG, embeddings, and vector databases.
- Experience developing and deploying production-grade AI applications.
- Strong analytical and problem-solving skills.
More Info
Key Skills
About Company
Skills:
Api Integration, Gcp, MLops, System Design, Python, AWS, embeddings, Generative AI, LLMs, RAG systems, Hugging Face, vector databases, Claude, GPT, Azure OpenAI, semantic search technologies, OpenAI, fine-tuning techniques, deployment pipelines
Skills:
Sql, Python, LLMs, business analytics
Skills:
Tensorflow, Machine Learning, Pytorch, Python, Recommendation Systems, Search Relevance, Feature Engineering, Data Pipelines, Model Training
Skills:
Azure ML, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Gcp, Git, LLMs, Vertex AI, Claude, scikit-learn, Gemini, SageMaker, transformer-based frameworks, LLaMA, Qwen, DeepSeek, OpenAI GPT-4, Mistral
Skills:
Tensorflow, Pytorch, Natural Language Processing, Keras, Python, reinforcement learning