Senior Data Scientist

JOB DESCRIPTION

Senior AI ENGINEER

About the Role

As an AI Engineer at Simpplr, you will contribute to the design and delivery of AI-native platform features that are accurate, reliable and aligned with ethical, legal and compliance standards. You will work with senior engineers, data scientists and cross-functional teams to develop LLM-based systems, MCP integrations, RAG architectures, multimodal solutions and fine-tuned ML models. Every solution will embed explainability, traceability, observability, privacy-by-design and Responsible AI governance from the start, in line with Simpplr’s code of conduct and industry best practices.

Key Responsibilities

• Design, code and enhance AI-native platform capabilities ensuring compliance with data privacy, intellectual property and security policies.
• Build components for MCP, RAG, LLMs, SLMs, multimodal generation, fine-tuned ML models and agentic workflows.
• Assist in building and maintaining AIOps and MLOps pipelines with versioning, CI/CD, monitoring, rollback and drift detection capabilities.
• Apply bias detection, privacy-by-design and compliance best practices to all deliverables.
• Work with cross-functional teams to integrate AI capabilities into product experiences.
• Stay updated on AI frameworks, tools and industry standards to bring innovative ideas into the team.
  
  

What We Are Looking For

• 3 - 5 years of experience in AI/ML engineering, data science or related roles.
• Deliver enterprise-scale AI capabilities using MCP, RAG, multimodal, LLMs, SLMs, fine-tuned custom ML models and agentic workflow automation.
• Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Understanding of data engineering workflows, vector databases and cloud deployment basics.
• Exposure to MLOps/AIOps tools and processes (CI/CD, model monitoring, experiment tracking).
• Strong problem-solving, communication and teamwork skills.

Technical Skill Sets

• AI/ML: LLMs, MCP, RAG, multimodal generation, SLMs, prompt engineering.
• Programming: Python, PyTorch/TensorFlow, scikit-learn, full-stack engineering experience is a plus.
• Data Engineering: SQL/NoSQL, Snowflake, Vector databases such as FAISS, Milvus, Pinecone, Redis.
• MLOps & AIOps: CI/CD, model versioning, monitoring, observability, anomaly detection, Docker, Kubernetes, Kafka, Spark, TorchServe, MLFlow.
• Cloud Infrastructure: AWS, GCP, Azure, Terraform/Ansible for secure and scalable deployments.
• Responsible AI & Governance: Bias detection, interpretability, audit trails, privacy-by-design and compliance frameworks.

Our Ideal Candidate

An AI engineer who can design and ship production-grade AI features, working closely with senior engineers to deliver enterprise-ready solutions. You are not just a consumer of AI APIs, you understand and can help build the foundational components of AI-native platforms. You are motivated by building responsible, auditable and explainable AI systems. You are comfortable navigating the operational realities of running agentic AI in enterprise environments, thrive in collaborative teams, are eager to learn from experienced mentors and are excited to contribute to the backbone of Simpplr’s Agentic AI capabilities from the ground up.

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