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Senior Software Engineer - AI Platform

Bangalore HQ💼 Full-time🗓 2026-07-09 → 2026-09-26

Core

Build and operate an AI-native automotive platform that turns dealership data into real-time intelligence for agents, LLM gateways, and classical ML models to drive dealer outcomes.

Role type

Senior IC AI Platform Engineer (LLM & Agentic Systems)

Builds

Tekion's Automotive Retail Cloud and Automotive Enterprise Cloud

Domain

Automotive retail technology, AI/ML, and cloud-native SaaS

Deliverable

production ML models | product features | infrastructure

Required skills

Python, Java/Scala/Go, distributed systems, microservices, MLOps, LLM gateway design, agentic systems orchestration, knowledge graphs, vector search, hybrid retrieval, model monitoring, data pipelines

Preferred skills

AWS, Kubernetes, Docker, Neo4j, GraphQL, Spark/Flink/Kafka, MLflow, Airflow/Kubeflow, XGBoost/LightGBM, cost engineering, developer experience

Technologies

Python, Java, Scala, Go, AWS, Docker, Kubernetes, Neo4j, Neptune, TigerGraph, GraphQL, pgvector, Qdrant, Milvus, Airflow, Kubeflow, MLflow, Spark, Flink, Kafka, XGBoost, LightGBM

Responsibilities

Build LLM control plane/gateway with routing, rate limits, and cost tracking; ship unified APIs/SDKs with observability; enforce safety/privacy via content filtering and PII redaction; enable multi-vendor LLMs with canarying; own agent runtime including tool registry and function calling; design orchestration patterns and manage agent state; build pipelines for classical ML training/scoring; monitor model/data drift and manage retraining; implement human-in-the-loop review; evolve domain graphs and entity resolution; serve real-time context with access controls; power hybrid search retrieval; run continuous evaluations for quality and safety; define SLOs for latency, uptime, and cost; maintain model registry and audit trails; provide templates/CLIs and mentor teams on MLOps.

Seniority

Senior, hands-on IC

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