Python Software Developer- Blackstraw- Immediate Joiner- WFO- Chennai (Tamil

We are looking for a highly skilled Python Engineer with strong experience in Backend Development, GenAI, and Full Stack Engineering to build scalable AI-powered applications and intelligent automation platforms. The ideal candidate should have hands-on expertise in Python, APIs, cloud-native architectures, and modern AI/LLM frameworks. You will work on designing, developing, and deploying enterprise-grade AI solutions including LLM applications, agentic workflows, RAG pipelines, automation systems, and AI-integrated web platforms. 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 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 Strong 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. Valuable 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: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. We are looking for a highly skilled Python Engineer with strong experience in Backend Development, GenAI, and Full Stack Engineering to build scalable AI-powered applications and intelligent automation platforms. The ideal candidate should have hands-on expertise in Python, APIs, cloud-native architectures, and modern AI/LLM frameworks. You will work on designing, developing, and deploying enterprise-grade AI solutions including LLM applications, agentic workflows, RAG pipelines, automation systems, and AI-integrated web platforms. 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 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 Strong understanding of REST APIs & Microservices Knowledge of SQL & NoSQL databases Experience with Git, CI/CD p