AI Engineer

AI Engineer

This role sits at the core of building and scaling advanced AI-driven capabilities within a modern SaaS integration platform. You will design, develop, and optimize intelligent systems that power automation, orchestration, and data-driven decision-making for enterprise customers. The position involves working on high-scale distributed systems where reliability, performance, and scalability are critical. You will collaborate closely with product managers, engineers, and cross-functional teams to translate AI concepts into production-ready solutions. The environment is highly technical and innovation-driven, with strong emphasis on cloud-native architectures and modern AI frameworks. This is a key role for an experienced engineer who enjoys solving complex problems and shaping next-generation AI-powered platforms.

• Design, build, and maintain scalable AI-powered backend services and distributed systems
• Develop and deploy AI capabilities including LLM-based features, RAG pipelines, and intelligent automation workflows
• Architect robust, multi-tenant SaaS solutions with high availability and performance requirements
• Integrate AI systems with enterprise-grade data pipelines, APIs, and microservices architectures
• Work with technologies such as Python, Java, LangChain, LlamaIndex, and cloud platforms like AWS and Azure AI
• Build and optimize data pipelines, ETL workflows, and real-time processing systems
• Ensure reliability and scalability of AI services running in production environments 24/7
• Collaborate with cross-functional teams to design, implement, and deliver new AI-driven features
• Contribute to system design discussions, code reviews, and architectural decisions
• Mentor engineers and contribute to technical excellence across the team

• 10+ years of experience in building large-scale distributed, cloud-native applications
• Strong expertise in designing and developing multi-tenant SaaS platforms
• Hands-on experience with AI technologies such as LLMs, RAG, LangChain, and LlamaIndex
• Strong programming skills in Python and Java
• Experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers
• Solid understanding of microservices architecture, APIs, and cloud design patterns
• Experience with cloud platforms (AWS, Azure) and container orchestration (Docker, Kubernetes)
• Knowledge of data engineering concepts including ETL pipelines and data warehousing
• Familiarity with databases such as MySQL, MongoDB, SQL Server, or DocumentDB
• Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure-as-code tools like Terraform or CloudFormation
• Strong analytical, debugging, and problem-solving skills with attention to detail
• Excellent communication skills in English (C1 level) and ability to work in distributed teams
• Experience mentoring engineers and collaborating in cross-functional environments

• Competitive compensation aligned with senior engineering expertise
• Fully remote-friendly work environment
• Opportunity to work on cutting-edge AI and cloud-native technologies
• Career growth in a fast-scaling global SaaS and iPaaS organization
• Strong technical ownership and influence on product architecture
• Access to modern AI tools, frameworks, and infrastructure at scale
• Collaborative, innovation-driven engineering culture
• Continuous learning, mentorship, and professional development opportunities