Software Engineer- Gen AI

1 week ago


bangalore, India Kapture CX Full time

About the RoleWe are looking for a Software Engineer passionate about Generative AI to join our team. You will work on building intelligent, production-grade applications using cutting-edge models like GPT, LLaMA, Claude, or open-source alternatives. This is a hybrid role that combines software engineering best practices with deep interest in AI/ML, especially LLM-based applications such as RAG, chatbots, agentic systems, and prompt engineering.You'll work alongside product managers, ML researchers, and engineers to deliver robust, scalable solutions with real-world impact.Key ResponsibilitiesBuild, deploy, and maintain LLM-powered applications using APIs or open-source models.Implement and optimize RAG (Retrieval-Augmented Generation) pipelines.Integrate and experiment with LangChain, LlamaIndex, and agentic frameworks.Write production-grade code and deploy services in cloud environments (AWS, GCP, Azure).Collaborate cross-functionally with design, ML, and backend teams.Stay up to date with latest in GenAI: open models, prompting strategies, fine-tuning, etc.Required Skills & Qualifications2–4 years of experience in software development, preferably in Python or JavaScript/TypeScript.Solid understanding of data structures, algorithms, and system design.Experience building and deploying REST APIs or microservices.Familiarity with GenAI concepts – LLMs, transformers, vector embeddings.Hands-on experience with one or more:LangChain / LlamaIndexOpenAI / Cohere / Anthropic / HuggingFace modelsPinecone / Weaviate / FAISS / Qdrant (vector DBs)Nice-to-Have (Bonus Skills)Experience working on chatbots, document Q&A, or agentic workflows.Exposure to ML model fine-tuning or prompt optimization.Familiarity with Docker, Kubernetes, or CI/CD pipelines.Contributions to open-source GenAI projects.What You'll GetWork on real-world, AI-first products from scratch.Exposure to state-of-the-art LLM tools and platforms.Learn from a collaborative, hands-on engineering + ML team.Fast-paced environment with full ownership and impact.


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