About Us
With over 25 years of innovation, MST is a trusted IT partner helping businesses thrive through cutting-edge technology. Our flagship product, MissTika AI Platform, is a one-stop solution for RAG, summarization, ingestion, and API-based access—built to be scalable, secure, and enterprise-ready.
We’re now entering the next frontier: Agentic AI & Automation. If you’re passionate about building production-grade AI systems and shaping the future of intelligent platforms, we want you on our team.
Responsibility:
As a Senior AI Engineer, you’ll architect and deliver high-performance AI systems while mentoring engineers and collaborating across teams.
- Lead the design and implementation of RAG pipelines and agentic AI workflows using LLMs and structured outputs.
- Architect scalable, serverless AI services on AWS and Azure with robust orchestration and streaming capabilities.
- Optimize vector search systems and enforce secure, multi-tenant knowledge base access.
- Build and maintain backend AI services including token quotas, latency control, and modality safety.
- Drive deployment automation using Terraform/CDK and ensure secure connectivity and infrastructure.
- Define and integrate evaluation metrics (e.g., faithfulness, relevance, CER/WER) into CI/CD pipelines.
- Instrument observability tools and lead incident response with clear SLOs and dashboards.
- Mentor engineers and set standards for secure, scalable, and cost-efficient AI platform development.
Requirements:
- Master’s / Bachelor’s degree in Computer Science, Mathematics, or a related field
- 5+ years of experience building and deploying production-grade AI systems
- Strong skills in Python (AI backend) and experience with .NET/Node.js
- Expertise in RAG pipelines, LLM orchestration (LangChain, LangGraph), and Vector Databases
- Hands-on experience with serverless architecture, event-driven AI, and containerized workloads
- Familiarity with Generative AI, structured outputs, and AI Gateway design including token quotas
- Experience with multi-cloud deployments (AWS + Azure) and serverless GPU inference
- Knowledge of Terraform/CDK, open-source contributions, and secure multi-tenant architecture (RBAC, RLS, KMS)