Senior Python Developer

Overview You will be a part of Cactus Labs which is the R&D Cell of Cactus Communications. Cactus Labs is a high impact cell that works to solve complex technical and business problems that help keep us strategically competitive in the industry. We are a multi cultural team spread across multiple countries. We work in the domain of AI/ML especially with Generative AI (Text, Images, Audio), Language Understanding, Explainable AI, Big Data, Operations (MLOps, DevOps) etc. As a core member of the team, you'll drive the solutioning and delivery of scalable systems. You?ll take ownership of critical projects/features and collaborate closely with product and research teams. If you thrive in ambiguity, enjoy solving high-impact problems, and are motivated by building systems that matter, this role is for you. Responsibilities Design and architect systems that integrate with a wide array of AWS cloud services, ensuring high availability, scalability, and fault tolerance. Build applications that incorporate Large Language Models (LLMs) and other generative AI systems, leveraging APIs or fine-tuned models as needed. Own end-to-end technical delivery across projects ? from design and development to deployment and monitoring. Collaborate cross-functionally with Product Managers, Researchers, ML Engineers, and other stakeholders to define and deliver impactful solutions. Contribute to technical discussions, architecture decisions, and long-term technology planning. Stay up to date with emerging tools, technologies, and development practices, and proactively introduce improvements to elevate engineering quality and team productivity. Qualifications And Prerequisites 4+ years of hands-on software development experience with a strong command of Python. Demonstrated experience building applications powered by LLMs (e.g., OpenAI, Anthropic, Google, custom fine-tuned models). Practical experience with AWS services (e.g., Lambda, EC2, S3, DynamoDB, SQS, API Gateway, etc.). Strong understanding of RESTful API design, backend systems, and service integrations. Experience with Docker or Kubernetes in production environments. Solid grasp of microservices architecture and distributed systems. Comfortable working in fast-paced, ambiguous environments with shifting priorities. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills, with experience working in remote and cross-functional teams. Application Process For this role, please refer to the following: - Technical round with a panel of 2 interviewers for 1 hour (Virtual) Techno-functional round for 1 hour (Virtual) HR Business partner round for 45 minutes