Position Overview
We are seeking a talented Generative AI Senior Software Engineer or Lead to join our AI/ML team. The ideal candidate will have 1 to 2 years of hands-on experience in building deploying and optimizing generative AI solutions. You will play a key role in designing and implementing AI-powered applications while mentoring team members and driving technical excellence.
Experience Required
4 to 8 Years in Software Engineering with strong focus on AI/ML and Generative AI technologies
For Lead role please look for 6 years experience
Key Responsibilities
Design develop and deploy production-grade generative AI applications using LLMs (Large Language Models) and other foundation models
Build and maintain AI pipelines for model training evaluation and deployment
Implement RAG (Retrieval Augmented Generation) systems for enterprise knowledge bases
Develop APIs and microservices for AI model integration and serving
Optimize model performance latency and cost efficiency in production environments
Fine-tune and customize foundation models for specific business use cases
Implement vector databases and embedding strategies for semantic search
Design and execute model evaluation frameworks and A/B testing methodologies
Required Technical Skills
Generative AI & LLMs
Strong experience with LLM APIs (OpenAI GPT-4/GPT-3.5 Claude Gemini Llama Mistral)
Hands-on experience with prompt engineering and chain-of-thought reasoning
Knowledge of fine-tuning techniques (LoRA QLoRA PEFT)
Understanding of transformer architectures and attention mechanisms
AI/ML Frameworks & Tools
LLM Frameworks: LangChain LlamaIndex Semantic Kernel Haystack
ML Frameworks: PyTorch TensorFlow Hugging Face Transformers
Vector Databases: Pinecone Weaviate Qdrant ChromaDB FAISS
MLOps Tools: MLflow Weights & Biases DVC
Languages: Python (primary)
Cloud Platforms: AWS (SageMaker Bedrock) Azure (OpenAI Service) GCP (Vertex AI)
Bachelors or Masters degree in Computer Science Engineering or related fiel
Experience deploying AI applications in production environments
Position Overview We are seeking a talented Generative AI Senior Software Engineer or Lead to join our AI/ML team. The ideal candidate will have 1 to 2 years of hands-on experience in building deploying and optimizing generative AI solutions. You will play a key role in designing and implementing AI...
Position Overview
We are seeking a talented Generative AI Senior Software Engineer or Lead to join our AI/ML team. The ideal candidate will have 1 to 2 years of hands-on experience in building deploying and optimizing generative AI solutions. You will play a key role in designing and implementing AI-powered applications while mentoring team members and driving technical excellence.
Experience Required
4 to 8 Years in Software Engineering with strong focus on AI/ML and Generative AI technologies
For Lead role please look for 6 years experience
Key Responsibilities
Design develop and deploy production-grade generative AI applications using LLMs (Large Language Models) and other foundation models
Build and maintain AI pipelines for model training evaluation and deployment
Implement RAG (Retrieval Augmented Generation) systems for enterprise knowledge bases
Develop APIs and microservices for AI model integration and serving
Optimize model performance latency and cost efficiency in production environments
Fine-tune and customize foundation models for specific business use cases
Implement vector databases and embedding strategies for semantic search
Design and execute model evaluation frameworks and A/B testing methodologies
Required Technical Skills
Generative AI & LLMs
Strong experience with LLM APIs (OpenAI GPT-4/GPT-3.5 Claude Gemini Llama Mistral)
Hands-on experience with prompt engineering and chain-of-thought reasoning
Knowledge of fine-tuning techniques (LoRA QLoRA PEFT)
Understanding of transformer architectures and attention mechanisms
AI/ML Frameworks & Tools
LLM Frameworks: LangChain LlamaIndex Semantic Kernel Haystack
ML Frameworks: PyTorch TensorFlow Hugging Face Transformers
Vector Databases: Pinecone Weaviate Qdrant ChromaDB FAISS
MLOps Tools: MLflow Weights & Biases DVC
Languages: Python (primary)
Cloud Platforms: AWS (SageMaker Bedrock) Azure (OpenAI Service) GCP (Vertex AI)
Bachelors or Masters degree in Computer Science Engineering or related fiel
Experience deploying AI applications in production environments
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