Lead AI Engineer

Simpplr

full-time

Posted on: 9/27/2025

Location Type: Hybrid

Location: Gurugram • 🇮🇳 India

✨ AI Apply

Senior

AnsibleAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKafkaKubernetesNoSQLPythonPyTorchRedisScikit-LearnSparkSQLTensorflowTerraform

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

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

AI engineeringML engineeringLLMsSLMsMCPRAGAIOpsMLOpsdata engineeringprompt engineering

leadershipmentoringinnovationaccountabilitytrustcuriositycollaborationcommunicationstrategic alignmentteam building