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AI Engineer (Backend) Exp- 4-8 Years Shift Timings-12 PM-9 PM or 1 PM-10 PM 3 Months Contract + Extendable : We are looking for highly motivated Backend Engineers with strong Python development experience and hands-on exposure to GenAI/LLM technologies. The ideal candidate should be passionate about solving complex problems, building scalable backend systems, and developing AI-powered applications. Key Responsibilities: - Design, develop, and maintain scalable backend applications using Python (FastAPI/Flask). - Build and integrate LLM-based solutions, RAG (Retrieval-Augmented Generation) pipelines, and GenAI workflows into production environments. - Develop high-performance REST APIs and backend services. - Collaborate with product and engineering teams to deliver robust, scalable, and production-ready solutions. - Ensure application performance, reliability, observability, and code quality. - Participate in system architecture discussions and contribute to technical decision-making. Mandatory Skills: - 2-4 years of hands-on backend development experience. - Strong expertise in Python, FastAPI, and Flask. - Experience working with LLMs, RAG systems, and AI/ML integrations. - Hands-on experience with LangChain, OpenAI APIs, and Vector Databases. - Strong understanding of System Design and Distributed Architectures. - Experience with RESTful APIs, Microservices, Event-Driven Architectures, Caching, and Messaging Queues. Preferred Skills: - Experience with AWS, Azure, or GCP. - Familiarity with DevOps practices and CI/CD pipelines. - Prior experience in Product Companies, Startups, or Rapid-paced Consulting Environments. AI Engineer (Backend) Exp- 4-8 Years Shift Timings-12 PM-9 PM or 1 PM-10 PM 3 Months Contract + Extendable : We are looking for highly motivated Backend Engineers with strong Python development experience and hands-on exposure to GenAI/LLM technologies. The ideal candidate should be passionate about solving complex problems, building scalable backend systems, and developing AI-powered applications. Key Responsibilities: - Design, develop, and maintain scalable backend applications using Python (FastAPI/Flask). - Build and integrate LLM-based solutions, RAG (Retrieval-Augmented Generation) pipelines, and GenAI workflows into production environments. - Develop high-performance REST APIs and backend services. - Collaborate with product and engineering teams to deliver robust, scalable, and production-ready solutions. - Ensure application performance, reliability, observability, and code quality. - Participate in system architecture discussions and contribute to technical decision-making. Mandatory Skills: - 2-4 years of hands-on backend development experience. - Strong expertise in Python, FastAPI, and Flask. - Experience working with LLMs, RAG systems, and AI/ML integrations. - Hands-on experience with LangChain, OpenAI APIs, and Vector Databases. - Strong understanding of System Design and Distributed Architectures. - Experience with RESTful APIs, Microservices, Event-Driven Architectures, Caching, and Messaging Queues. Preferred Skills: - Experience with AWS, Azure, or GCP. - Familiarity with DevOps practices and CI/CD pipelines. - Prior experience in Product Companies, Startups, or Rapid-paced Consulting Environments.
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