Experience:

• 7.5+ years of total experience
• Strong hands-on expertise in LLM engineering and Python backend development
• Proven experience building and deploying applications using cutting-edge LLMs

Qualification:

• Bachelor’s/Master’s in CS, AI, Data Science, or equivalent experience
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Additional responsibilities:

• Build ingestion pipelines for document processing
• Implement semantic, vector, and hybrid search at scale
• Deploy AI systems on cloud platforms
• Set up CI/CD, automated testing, model versioning, and production monitoring
• Develop enterprise-grade search, knowledge systems, and document intelligence platforms

More skills:

LLM Application Frameworks, Prompt Engineering with LLMs, RAG pipelines, embeddings, multi-agent systems, model fine-tuning techniques, TGI, Ollama, LM Studio, Triton, vector databases, semantic search, hybrid search, embedding pipelines, enterprise knowledge systems, cloud platforms, containers, Kubernetes, MLOps/LLMOps practices

Other:

• Excellent communication, collaboration, and problem-solving skills
• Dynamic and non-hierarchical work culture
• 17,700 experts across 39 countries