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We are excited to announce an opening for a Senior AI Engineer at our Bengaluru office (US Healthcare Captive). This role is ideal for someone with a deep understanding of artificial intelligence, specifically in healthcare applications, and who is proficient in Python and Large Language Models (LLMs) such as Langchain and langGraph. With an experience requirement of 10-16 years, we are looking for a candidate who can significantly contribute to our ongoing projects and innovation drives.
Key Responsibilities:10-16 years
This position requires the candidate to work full-time from our Bengaluru office.
This is a full-time position offering competitive benefits.
If you meet the above qualifications and are enthusiastic about advancing your career as a Senior AI Engineer while making substantial impacts within the healthcare sector, please apply with your resume detailing relevant project experiences. We look forward to exploring how you can contribute to our team!
AI,LLM,PythonJob ID: 151340329
Skills:
Artificial Intelligence, Machine Learning, Python, Automation, Large Language Models, Generative AI
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation
Skills:
cloud security, Distributed Systems, LangChain, AWS Bedrock, pgvector, Embeddings and prompt engineering, Vector databases, Qdrant, Pinecone, scalable backend architecture, LangGraph, MCP Model Context Protocol, Google Vertex AI, Milvus, Weaviate, Generative AI LLMs, RAG architectures
Skills:
Sql, Computer Vision, Tensorflow, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Nlp, LangChain, Hugging Face, LLMOps, Generative AI
Skills:
Tensorflow, MLops, AWS, Pytorch, Python, Anthropic, large language models, OpenAI, vector databases, Weaviate, Hugging Face Transformers, Cohere, data engineering for ML model evaluation, cloud-native environments, Pinecone, FAISS, prompt engineering