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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy Generative AI applications using LLMs and fine-tuning pipelines.
Integrate GenAI models into production systems via APIs, microservices, and cloud environments (AWS, Azure, or GCP).
Evaluate and improve model performance focusing on accuracy, safety, latency, and implement monitoring for continuous improvement.
Minimum Requirements
4–6 years of overall software engineering or ML experience.
2+ years hands-on experience in Generative AI, LLMs, or applied NLP.
Strong Python programming skills; experience with JavaScript/TypeScript is a plus.
Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP); practical knowledge of LLM APIs, prompt engineering, RAG architectures, and vector databases (e.g., Pinecone, FAISS).
Ideal Candidate Profile
Experienced in building RAG-based applications with frameworks like LangGraph and FastAPI.
Familiar with MLOps practices including CI/CD for ML, model versioning, and monitoring.
Deep understanding of NLP concepts such as embeddings, transformers, and tokenization tailored for production-grade AI systems.