Software Engineer

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
Responsibilities
Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
Strong expertise in Python and experience building scalable AI applications and services.
Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents.
Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs.
Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation.
Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.
Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.

Work arrangement
No