Job Title : GEN AISoftware Engineer
ContractPeriod : 9 / 15 / 2024 8 / 31 / 2025
Work location : Ridgefield ParkNJ
Were seeking a skilled engineer to lead the development ofcuttingedge RAG applications using stateoftheart LLM technologies.
The ideal candidate will have a strong background in AI and NLPwith handson experience in building and optimizing LLMbasedsystems.
This role requires expertise in integrating LLM solutionsvia APIs with both thirdparty tools and inhouse applications.Experience with AWS Bedrock is highly valued and familiarity withmicroservices architecture in cloud environments is a significantplus.
PrimaryResponsibilities :
- Design and implement RAG (RetrievalAugmentedGeneration) systems
- Integrate and optimize LargeLanguage Models (LLMs) via APIs
- Develop efficient informationretrieval and extraction systems
- Build and manage databases andvector stores
- ApplyNatural Language Processing (NLP) techniques
- Monitor performance andcontinuously improve systems
- Integrate LLM solutions with otherthirdparty tools and inhouse applications
- Design and implement APIs forseamless integration of LLMcapabilities
Requirements :
- Bachelors degree or higher in ComputerScience Artificial Intelligence or related field (Masterspreferred)
- Proficiency in Pythonprogramming
- Deepunderstanding of LLMs RAG systems and API integration
- Experience with NLP and machinelearning
- Strongskills in database and API development
- Knowledge of distributed systemsand cloud computing
- Expertise in integrating AI modelswith various software solutions
PreferredQualifications :
- Contributions to opensource LLMprojects
- Experiencebuilding AI systems in largescale productionenvironments
- Experience with vector databases(e.g. Pinecone Faiss )
- Proficiency with relevantlibraries such as Transformers Hugging Face
- Experience with AWS Bedrock forAI / ML model deployment and management
- Experience with microservicesarchitecture (MSA) in cloud environments
- Familiarity with LLM API providers(e.g. OpenAI Anthropic Cohere)
Suggested Tech Stack :
- Language : Python
- Frameworks : PyTorch or TensorFlow FastAPI or Flask for APIdevelopment
- Databases : PostgreSQL MySQLMongoDB
- VectorStores : Pinecone Faiss
- Cloud Platforms : AWS (includingBedrock) Google Cloud or Azure
- Integration Tools : Apache KafkaRabbitMQ
AWS, MYSQL , TENSORFLOW , POSTGRESQL , PYTORCH
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