Python Software Developer

As a highly skilled Python Engineer with expertise in Backend Development, GenAI, and Full Stack Engineering, you will be responsible for building scalable AI-powered applications and intelligent automation platforms. Your hands-on experience in Python, APIs, cloud-native architectures, and modern AI/LLM frameworks will be crucial in designing, developing, and deploying enterprise-grade AI solutions. Key Responsibilities: - Design and develop scalable backend systems using Python frameworks such as FastAPI, Flask, or Django. - Build and integrate GenAI/LLM-based applications using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, or similar. - Develop REST APIs, microservices, and AI orchestration pipelines. - Create end-to-end AI solutions including prompt engineering, RAG pipelines, vector database integrations, multi-agent workflows, and AI copilots/chatbots. - Work on frontend integration using React.js, Next.js, HTML/CSS, or JavaScript frameworks. - Develop scalable data pipelines and AI model integration workflows. - Deploy and manage applications on cloud platforms such as Azure, AWS, or GCP. - Collaborate with Product, Data Science, DevOps, and Engineering teams for AI product delivery. - Optimize AI application performance, scalability, security, and observability. - Participate in architecture discussions, code reviews, and production support. Core Technical Skills: - Strong programming expertise in Python. - Experience with FastAPI / Flask / Django. - Robust understanding of REST APIs & Microservices. - Knowledge of SQL & NoSQL databases. - Experience with Git, CI/CD pipelines, Docker, and Kubernetes. GenAI / AI Skills: - Hands-on experience with OpenAI APIs, LangChain / LlamaIndex, RAG Architecture, Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate), Prompt Engineering, AI Agents / Agentic Workflows, LLM evaluation & monitoring. - Exposure to NLP / ML concepts preferred. Full Stack Skills: - Frontend experience with Angular / React.js / Next.js / JavaScript. - Understanding of UI integration with AI applications. - Experience building dashboards or AI web platforms. Cloud & DevOps: - Azure / AWS experience. - Containerization using Docker. - CI/CD and deployment automation. - Monitoring & logging tools exposure. Preferred Qualifications: - Degree in Computer Science, Engineering or a related field. - Hands-on work experience with Python, Django/Flask, AWS, Azure, Docker, Microservices. - Good knowledge of caching technologies like Redis and queues like Kafka, SQS, MQ etc. - TensorFlow / PyTorch exposure. - Knowledge of GraphRAG or Knowledge Graphs. - Experience with AI copilots and enterprise AI automation. - Familiarity with MCP, AI orchestration, or autonomous agents. - Experience in scalable SaaS product development. Key Traits: - Excellent communication skills. - Self-motivated and willing to work as part of a team. - Ability to collaborate and coordinate in a remote environment. - Problem solver and proactive in overcoming challenges. As a highly skilled Python Engineer with expertise in Backend Development, GenAI, and Full Stack Engineering, you will be responsible for building scalable AI-powered applications and intelligent automation platforms. Your hands-on experience in Python, APIs, cloud-native architectures, and modern AI/LLM frameworks will be crucial in designing, developing, and deploying enterprise-grade AI solutions. Key Responsibilities: - Design and develop scalable backend systems using Python frameworks such as FastAPI, Flask, or Django. - Build and integrate GenAI/LLM-based applications using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, or similar. - Develop REST APIs, microservices, and AI orchestration pipelines. - Create end-to-end AI solutions including prompt engineering, RAG pipelines, vector database integrations, multi-agent workflows, and AI copilots/chatbots. - Work on frontend integration using React.js, Next.js, HTML/CSS, or JavaScript frameworks. - Develop scalable data pipelines and AI model integration workflows. - Deploy and manage applications on cloud platforms such as Azure, AWS, or GCP. - Collaborate with Product, Data Science, DevOps, and Engineering teams for AI product delivery. - Optimize AI application performance, scalability, security, and observability. - Participate in architecture discussions, code reviews, and production support. Core Technical Skills: - Strong programming expertise in Python. - Experience with FastAPI / Flask / Django. - Robust understanding of REST APIs & Microservices. - Knowledge of SQL & NoSQL databases. - Experience with Git, CI/CD pipelines, Docker, and Kubernetes. GenAI / AI Skills: - Hands-on experience with OpenAI APIs, LangChain / LlamaIndex, RAG Architecture, Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate), Prompt Engineering, AI Agents / Agentic Workflows, LLM evaluation & monitoring. - Exposure to NLP / ML concepts preferred. **Full