CoreOps.AI is looking for an experienced Generative AI Software Engineer with a strong foundation in LangChain, LangGraph, and vector databases, along with a basic understanding of RAG (Retrieval Augmented Generation). The ideal candidate will contribute to building intelligent AI-driven applications, experiment with GenAI frameworks, and collaborate with data scientists and engineers to optimize performance and scalability.

Key Responsibilities :

- Design, develop, and implement GenAI applications using LangChain and LangGraph frameworks.

- Work with vector databases (Pinecone, Weaviate, FAISS, or similar) for document retrieval and context management.

- Build and optimize RAG pipelines, conducting basic experimentation with retrieval and generation workflows.

- Collaborate with data engineers, AI researchers, and full-stack teams to integrate AI components into production systems.

- Write clean, efficient, and well-documented code for scalable GenAI applications.

- Support model testing, evaluation, and improvement initiatives.

Qualifications & Experience :

- Bachelor's or master's degree in computer science, Data Science, or a related field.

- 4+ years of experience in software development, with 2+ years in AI/ML or Generative AI projects.

- Proficiency in Python and experience with LangChain and LangGraph.

- Knowledge of vector databases such as Pinecone, Weaviate, or Chroma.

- Understanding of RAG concepts (context retrieval, prompt construction, and model response generation).

- Familiarity with LLM APIs (OpenAI, Anthropic, Hugging Face, etc.).

Preferred Skills :

- Exposure to LLM fine-tuning or prompt engineering.

- Familiarity with model deployment and API integration.

- Understanding of cloud-based AI services (Azure AI, AWS Bedrock, GCP Vertex AI).

- Good analytical, debugging, and collaboration skills.

About CoreOps.AI :

CoreOps.AI is a next-generation technology company founded by industry leaders with a mission to modernize enterprise core systems and operations. We are building the AI Operating System for Enterprises - accelerating modernization by up to 50% and reducing costs by 25% through intelligent automation, data orchestration, and legacy transformation.