AI Software Engineer

The candidate will be responsible for developing intelligent applications, integrating LLM APIs, building AI-powered chatbots and automation solutions, and implementing scalable backend services., * Design, develop, test, and maintain AI-powered software applications.

• Build and integrate Generative AI solutions using OpenAI, Anthropic Claude, and Google Gemini APIs.
• Develop LLM-based applications using prompt engineering and RAG architecture.
• Build backend services and REST APIs using Python, FastAPI, Flask, or Django.
• Implement AI agents and workflows using LangChain, LangGraph, and LlamaIndex.
• Work with vector databases such as Pinecone, FAISS, Chroma, and PostgreSQL/pgvector.
• Develop chatbots, intelligent assistants, and document-processing applications.
• Integrate machine learning models and third-party APIs into applications.
• Work with SQL and NoSQL databases for data storage and retrieval.
• Deploy and maintain applications using AWS, Azure, or Google Cloud.
• Write clean, reusable, scalable, and maintainable code.
• Perform debugging, unit testing, integration testing, and performance optimization.
• Collaborate with cross-functional teams in an Agile development environment.

We are seeking a motivated AI Software Engineer with 1-3 years of experience in software development and Artificial Intelligence to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong Python programming skills, experience with REST APIs, and knowledge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)., * 1-3 years of experience in software development, AI engineering, or backend development.

• Strong programming experience in Python.
• Understanding of OOP, Data Structures, and Algorithms.
• Experience with FastAPI, Flask, Django, and REST API development.
• Knowledge of Generative AI, LLMs, NLP, and Machine Learning concepts.
• Hands-on experience with OpenAI or other LLM APIs.
• Understanding of prompt engineering, embeddings, and RAG.
• Familiarity with LangChain, LangGraph, or LlamaIndex.
• Knowledge of SQL databases such as PostgreSQL or MySQL.
• Experience with Git, GitHub, Docker, and CI/CD.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform., * Experience with AI agents and multi-step AI workflows.
• Familiarity with vector databases and semantic search.
• Knowledge of PyTorch, TensorFlow, or Scikit-learn.
• Experience with Kubernetes and microservices.
• Understanding of model evaluation, hallucination reduction, and responsible AI.
• Experience deploying AI applications in production.