Gen AI Developer

Responsibilities

• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance generative model outputs by integrating structured and unstructured data sources for high-relevance, contextual responses
• Apply LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) techniques for efficient fine-tuning of large language models, enabling cost-effective training and deployment of personalized or domain-specific AI models
• Collaborate with software engineers and Ops teams to deploy ML/AI models into production, ensuring model monitoring, logging, and versioning
• Contribute to building and maintaining end-to-end ML pipelines for automation of data ingestion, training, evaluation, and deployment
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Stay updated with the latest advancements in AI, ML, and Deep Learning.
• A keen interest in learning new technologies and staying updated with the latest trends
  
  

Desired Candidate Profile

• 2+ years of experienced Gen AI developer who has rich programming knowledge, techniques, and methods in the following areas:
• LLM Frameworks & Orchestration (LangChain/LangGraph/CrewAI, MCP, RAG)
• Vector Databases (Pinecone/Weaviate/Qdrant/Chroma)
• Model Deployment & Fine-tuning (vLLM, Ollama, LoRA/QLoRA)
• Programming & Databases (Python, Java, SQL)
• ML/DL Frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
  
  

Apply Now

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Select Role *Select your RoleSenior Devops EngineerGen AI Developer

Select your Experience *Select your Experience1 Year2 Years3 Years

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Responsibilities

• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance generative model outputs by integrating structured and unstructured data sources for high-relevance, contextual responses
• Apply LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) techniques for efficient fine-tuning of large language models, enabling cost-effective training and deployment of personalized or domain-specific AI models
• Collaborate with software engineers and Ops teams to deploy ML/AI models into production, ensuring model monitoring, logging, and versioning
• Contribute to building and maintaining end-to-end ML pipelines for automation of data ingestion, training, evaluation, and deployment
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Stay updated with the latest advancements in AI, ML, and Deep Learning.
• A keen interest in learning new technologies and staying updated with the latest trends
  
  

Desired Candidate Profile

• 2+ years of experienced Gen AI developer who has rich programming knowledge, techniques, and methods in the following areas:
• LLM Frameworks & Orchestration (LangChain/LangGraph/CrewAI, MCP, RAG)
• Vector Databases (Pinecone/Weaviate/Qdrant/Chroma)
• Model Deployment & Fine-tuning (vLLM, Ollama, LoRA/QLoRA)
• Programming & Databases (Python, Java, SQL)
• ML/DL Frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
  
  

Apply Now

First Name *

Last Name *

Select Role *Select your RoleSenior Devops EngineerGen AI Developer

Select your Experience *Select your Experience1 Year2 Years3 Years

Email *

Phone Number *

Message *

Resume Uploaded *

(Upload only Pdf, Doc, Docx Files. Maximum file size 2MB)

Spritle Software is an interdisciplinary team of coders, analysts, and UX experts at an AI-first software development company—crafting enterprise applications and premium digital products that elevate your vision and accelerate business outcomes.

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