Software Engineer- Gen AI

4 weeks ago

Bengaluru India Kapture CX Full time

Job Description About The Role We 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 Responsibilities Build, 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 & Qualifications 24 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 / LlamaIndex OpenAI / Cohere / Anthropic / HuggingFace models Pinecone / 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 Get Work 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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