Careers
Join the Future of Enterprise Intelligence
We are looking for talented individuals to help us build the next generation of enterprise AI and Cloud solutions.
Open Positions
Apply today to join our fast-growing team.
AI Engineer
Build logic and reasoning into our next-generation enterprise AI solutions. You will work with LLMs, RAG architectures, and agentic workflows.
⚡ Key Responsibilities
- Design and implement agentic workflows using LangChain and AutoGen.
- Optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases.
- Fine-tune open-source LLMs (Llama 3, Mistral) for specific domain tasks.
- Collaborate with backend engineers to serve models via high-performance APIs.
🎓 Requirements
- 3+ years of experience in Python and deep learning frameworks.
- Proven experience building and deploying LLM applications.
- Understanding of vector databases (Pinecone, Milvus, Weaviate).
- Strong background in algorithms and data structures.
ML Engineer
Design and deploy scalable machine learning models. You will be responsible for the end-to-end ML lifecycle, from data prep to inference optimization.
⚡ Key Responsibilities
- Build and maintain reproducible ML pipelines using Kubeflow or MLflow.
- Deploy models to production using Docker, Kubernetes, and KServe.
- Monitor model performance and implement drift detection strategies.
- Optimize model inference latency and throughput for real-time applications.
🎓 Requirements
- Experience with production-grade ML systems.
- Proficiency in containerization (Docker) and orchestration (Kubernetes).
- Solid understanding of classical ML algorithms and statistical modeling.
- Experience with cloud platforms (AWS SageMaker, Vertex AI or Azure ML).
Senior DevOps Engineer
Automate everything. We need a senior hands-on engineer to build resilient CI/CD pipelines and manage our multi-cloud infrastructure.
⚡ Key Responsibilities
- Architect and manage secure multi-cloud infrastructure using Terraform.
- Design and implement advanced CI/CD pipelines with GitHub Actions.
- Manage Kubernetes clusters (EKS/AKS) including service mesh (Istio/Linkerd).
- Implement comprehensive observability stacks using Prometheus, Grafana, and ELK.
🎓 Requirements
- 5+ years of DevOps / SRE experience.
- Expert-level knowledge of Terraform and Infrastructure as Code patterns.
- Deep understanding of Kubernetes internals and networking.
- CKA (Certified Kubernetes Administrator) certification is a plus.
Senior Data Engineer
Architect high-throughput data pipelines. You will transform raw unstructured data into clean, analytical assets for our enterprise clients.
⚡ Key Responsibilities
- Design and build scalable ETL/ELT pipelines for petabyte-scale datasets.
- Optimize data warehouse architecture on Snowflake or Databricks.
- Implement real-time data streaming solutions using Apache Kafka.
- Ensure data quality, governance, and compliance with GDPR standards.
🎓 Requirements
- Strong proficiency in SQL and Python/Scala.
- Experience with big data frameworks (Spark, Hadoop).
- Knowledge of modern data stack tools (dbt, Airflow, Fivetran).
- Experience with data modeling and schema design.
Senior Cloud Architect
Lead the cloud strategy. You will design secure, scalable, and cost-effective cloud environments for large-scale digital transformations.
⚡ Key Responsibilities
- Define cloud adoption strategies and migration roadmaps for enterprise clients.
- Design highly available and fault-tolerant cloud architectures.
- Conduct Well-Architected Reviews and optimize cloud costs (FinOps).
- Lead technical workshops and mentor engineering teams.
🎓 Requirements
- 10+ years of IT experience with 5+ years in Cloud Architecture.
- Professional level certification in AWS, Azure, or GCP.
- Experience with hybrid cloud networking and security patterns.
- Strong communication skills for stakeholder management.
Don't see a role that fits?
We are always open to speculative applications.
Why join us?
We offer a competitive salary, remote-first culture, and the opportunity to work on cutting-edge technologies.
Work from anywhere in the world. We believe in results, not hours in a chair.
We provide an annual learning budget and dedicated time for professional development.
We only use modern tech stacks. No legacy code maintenance here.