Senior ai Engineer
Job Description
We are looking for an AI Engineer to join our team and build innovative AI-powered solutions using Large Language Models (LLMs).Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 2 years of experience in building AI/LLM solutions.
- Strong knowledge of Python (C#/.NET is a plus).
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, or Amazon Bedrock.
- Experience with RAG, embeddings, vector search, and prompt engineering.
- Familiarity with AI frameworks and cloud AI services is a plus.
- Fluent in English.
More Info
Key Skills
About Company
Skills:
.NET, Python, Anthropic Claude, advanced prompt engineering, vector databases, vector embeddings, Azure OpenAI, cloud AI services, RAG, vector search mechanisms, OpenAI, Amazon Bedrock, modern AI frameworks
Skills:
Tensorflow, Pytorch, Gcp, Docker, XGBoost, Azure, Kubernetes, Python, AWS, CrewAI, Qdrant, LightGBM, Scikit-learn, Pinecone, AutoGen, LangGraph, Milvus
Skills:
Jax, Tensorflow, Pytorch, MLops, Distributed Systems, System Design, Spark, Python, scalable AI inference systems, Ray, performance optimization, CI/CD, model serving, model monitoring
Skills:
Solr, Machine Learning, Data Science, Python, Elasticsearch, embeddings, Milvus, OpenSearch, agentic AI frameworks, Azure OpenAI, cloud AI platforms, vector databases, LangChain, RAG, pgvector, AWS Bedrock, knowledge-based AI systems, Pinecone, semantic search, FAISS, Generative AI, Google Vertex AI, LLM orchestration, LangGraph
Skills:
production deployment , Orchestration, Data Modeling, Debugging, Databases, Git, Docker, Rest Apis, Testing, Python, AI Reliability Governance, Applied AI, Evaluation and Failure Analysis, Retrieval Ranking, Reranking, Context Engineering, Agent State Management