Senior AI/ML Engineer

Required Skills and Experience

• 48+ years of experience in AI/ML, data science, applied machine learning or software engineering.

• Strong programming experience in Python with production-quality coding practices.

• Hands-on experience building and deploying applications using LLMs or Generative AI models.

• Practical experience with RAG pipelines, AI agents, prompt engineering, embeddings and vector search.

• Strong understanding of machine learning, deep learning, NLP, model evaluation and data processing.

• Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI or equivalent.

• Experience with model platforms such as OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, Google Vertex AI, Hugging Face, Llama or Mistral.

• Experience with vector databases or search platforms such as Pinecone, Weaviate, Qdrant, Milvus, FAISS, pgvector, Elasticsearch or OpenSearch.

• Experience developing REST APIs and microservices using FastAPI, Flask or similar frameworks.

• Experience with SQL, relational databases and structured and unstructured data processing.

• Experience deploying applications on AWS, Microsoft Azure or Google Cloud Platform.

• Working knowledge of Docker, Git, automated testing and CI/CD.

• Understanding of AI security, privacy, scalability, monitoring, latency and cost optimization.

• Proven experience taking at least one AI/ML product or solution from inception to production launch.

• Strong problem-solving, critical-thinking and stakeholder communication skills