Python Gen Ai (26-05805) -
Diverse Lynx India · Location not stated
Strong hiring record · median 5 days open
All reasons
- No location stated
In its favour
- Posted today
- Still listed on the employer's own board
Skills
Digital
Python~Generative AI
Experience Required
2-4
Location
Chennai/ Pune/ Hyderabad
Role Descriptions
Job Description Python Generative AI Engineer (LangChain| LangGraph| Vector DB| RAG)Job SummaryWe are seeking a skilled Python Generative AI Engineer with expertise in LLMs| LangChain| LangGraph| Vector Databases| and Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will be responsible for designing| developing| and deploying enterprise-grade Gen AI applications| AI agents| and intelligent automation solutions leveraging modern AI frameworks and cloud technologies.Programming AI TechnologiesStrong proficiency in Python.Hands-on experience with Generative AI and Large Language Models (OpenAI| Azure OpenAI| Anthropic| Gemini| Llama| etc.).Experience with LangChain Framework.Experience with LangGraph for building AI agents and workflows.Strong understanding of Prompt Engineering techniques.Experience in developing RAG-based applications.Vector Databases Knowledge RetrievalExperience with Vector Databases such as oPineconeoChromaDBoFAISSoWeaviateoMilvusoAzure AI SearchKnowledge of embeddings and semantic search concepts.Experience in document ingestion| chunking| indexing| and retrieval strategies.AIML Data EngineeringUnderstanding of Machine Learning and NLP concepts.Experience with embeddings| transformers| and LLM architectures.Knowledge of data preprocessing and feature engineering.Experience working with structured and unstructured datasets.APIs IntegrationExperience with REST APIs and API integrations.Knowledge of FastAPI| Flask| or Django frameworks.Experience integrating AI models with enterprise applications and databases.Cloud DevOpsExperience with Azure| AWS| or GCP cloud platforms.Understanding of Docker and containerization.Experience with CICD pipelines and deployment automation.Knowledge of MLOps concepts and model monitoring.
Essential Skills
Job Description Python Generative AI Engineer (LangChain| LangGraph| Vector DB| RAG)Job SummaryWe are seeking a skilled Python Generative AI Engineer with expertise in LLMs| LangChain| LangGraph| Vector Databases| and Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will be responsible for designing| developing| and deploying enterprise-grade Gen AI applications| AI agents| and intelligent automation solutions leveraging modern AI frameworks and cloud technologies.Programming AI TechnologiesStrong proficiency in Python.Hands-on experience with Generative AI and Large Language Models (OpenAI| Azure OpenAI| Anthropic| Gemini| Llama| etc.).Experience with LangChain Framework.Experience with LangGraph for building AI agents and workflows.Strong understanding of Prompt Engineering techniques.Experience in developing RAG-based applications.Vector Databases Knowledge RetrievalExperience with Vector Databases such as oPineconeoChromaDBoFAISSoWeaviateoMilvusoAzure AI SearchKnowledge of embeddings and semantic search concepts.Experience in document ingestion| chunking| indexing| and retrieval strategies.AIML Data EngineeringUnderstanding of Machine Learning and NLP concepts.Experience with embeddings| transformers| and LLM architectures.Knowledge of data preprocessing and feature engineering.Experience working with structured and unstructured datasets.APIs IntegrationExperience with REST APIs and API integrations.Knowledge of FastAPI| Flask| or Django frameworks.Experience integrating AI models with enterprise applications and databases.Cloud DevOpsExperience with Azure| AWS| or GCP cloud platforms.Understanding of Docker and containerization.Experience with CICD pipelines and deployment automation.Knowledge of MLOps concepts and model monitoring.
Skills
- Python
- Generative AI
- LangChain
- LangGraph
- Retrieval-Augmented Generation
- LLM
- Vector Databases
- OpenAI
- Azure OpenAI
- Anthropic
- Gemini
- Llama
- Prompt Engineering
- Embeddings
- Machine Learning
- NLP
- Hugging Face Transformers
- FastAPI
- Flask
- Django
- Azure
- AWS
- GCP
- Docker
- MLOps
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