CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be required to travel to our Mumbai office based on business requirements or for company / team events.
Join Cactus Labs, the R&D Cell of Cactus Communications, and play a pivotal role in shaping cutting-edge technological solutions. Cactus Labs is a high-impact, cross-functional team solving complex technical and business challenges that help us stay strategically competitive. We operate globally and work across domains such as AI / ML, with a focus on Generative AI (Text, Image, Audio), Language Understanding, Explainable AI, Big Data, and scalable MLOps / DevOps systems.
As a core member of the team, you'll drive the solutioning and delivery of scalable systems. Youll 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 :
- 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.
ref : hirist.tech)