GR
Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
About the role
- Design, code and lead the build of Simpplr’s AI-native platform embedding explainability, traceability, observability and auditing as core capabilities
- Deliver enterprise-scale AI capabilities using MCP, RAG, multimodal, LLMs, SLMs, fine-tuned custom ML models and agentic workflow automation
- Define technical strategy and roadmap; align with product and engineering leaders to deliver customer value at speed and scale
- Establish and champion Responsible AI principles like bias detection, privacy-by-design, compliance with security and governance standards
- Build robust AIOps and MLOps pipelines with versioning, CI/CD, monitoring, rollback and drift detection
- Mentor engineers and data scientists to build high-trust and high-performance AI teams
- Partner with cross-functional teams to integrate AI into core product experiences and ensure measurable impact on user engagement and productivity
Requirements
- 8+ years in applied AI/ML engineering with proven leadership in building complex, high-scale AI platforms or products
- Experience in designing and delivering advanced AI solutions using LLMs/SLMs, MCP architecture, RAG pipelines, Vector DBs, Agentic AI workflows and automations
- Experience in building AI solutions with native observability, explainability and compliance features
- Strong background in AIOps/MLOps, data engineering and large-scale inference optimization
- Track record of translating product goals into technical execution with measurable business outcomes
- Ability to build and nurture high performing AI teams and foster a culture of innovation, accountability and trust
- Curiosity and eagerness to learn about next generations of agentic AI workflows, personalization and LLM-based solutions
- Technical skills: LLMs, MCP (Model Context Protocol), RAG, multimodal generation, SLMs, prompt engineering
- Programming: Python, PyTorch/TensorFlow, scikit-learn (full-stack engineering experience is a plus)
- Data engineering: SQL/NoSQL, Snowflake, BigQuery, Databricks, Vector databases such as FAISS, Milvus, Pinecone, Redis
- MLOps & AIOps: CI/CD, model versioning, monitoring, observability, anomaly detection, Docker, Kubernetes, Kafka, Spark, Triton, TorchServe, MLFlow
- Cloud Infrastructure: AWS, GCP, Azure; Infrastructure as code: Terraform, Ansible
- Responsible AI & Governance: bias detection, interpretability, audit trails, privacy-by-design and compliance frameworks
Benefits
- Hub - 100% work from Simpplr office (role requires Simpplr office full-time)
- Hybrid - Hybrid work from home and office (role supports regular in-person collaboration)
- Remote - 100% remote within your country of hire (role can be done anywhere within country of hire)
- Hub-Hybrid-Remote flexible work model providing role-based flexibility
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
RG
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