Senior Software Engineer (MLP) at Tekion

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

(Implicit from context: Senior-level expertise in machine learning platforms, LLMs, cloud-native systems, and automotive data ecosystems)
(No explicit requirements listed in provided description)

Responsibilities

Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking
Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics)
Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction
Enable multi-model, multi-vendor use LLMs with automated canarying and versioning
Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval
Design orchestration patterns (sequential, planner-executor, streaming) and manage agent state and long-running workflows
Enable platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging
Create components to monitor model and data drift, retraining and tuning models as needed to maintain performance

Skills

Key technologies and capabilities for this role

Machine LearningLLMGraphAIBig DataMCPLLM GatewayAgentic SystemsDMSCRM

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer role?

This information is not specified in the job description.

Is this Senior Machine Learning Platform Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for this Senior Machine Learning Platform Engineer role?

The role requires expertise in building and operationalizing graph-based systems, LLM control planes and gateways (including MCP and LLM Gateway), agentic systems with standards for building, evaluating, deploying, and governing, and platforms for classical ML models.

What is the company culture like at Tekion?

This information is not specified in the job description.

What makes a strong candidate for this Senior Machine Learning Platform Engineer position?

Strong candidates have experience powering AI-native platforms with real-time intelligence from unified data, building resilient LLM control layers for safe multi-provider usage, and defining standards for agentic systems and classical ML models to enable scalable AI features.

Tekion

Cloud-native platform for automotive retail management

About Tekion

Tekion has developed a cloud-native platform designed for the automotive retail industry. Its main product is a Dealer Management System (DMS) that utilizes technologies like Big Data, the Internet of Things (IoT), and Machine Learning (ML) to improve the operations of car dealerships. The DMS provides a centralized view and performance metrics for dealership groups, allowing for better management and increased operational efficiency. Tekion differentiates itself from competitors by being the first and fastest cloud-native DMS available, and it integrates seamlessly with major Original Equipment Manufacturers (OEMs) at no extra cost. The company's goal is to enhance dealership efficiency, profitability, and customer experience through its subscription-based software-as-a-service (SaaS) model, which also includes additional services to help dealerships identify upsell and cross-sell opportunities.

Pleasanton, CaliforniaHeadquarters

2016Year Founded

$617.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Competitive compensation and generous stock options

100% employer-paid top-of-the-line medical, dental and vision coverage

Great benefits including unlimited PTO, parental leave and free snacks and beverages

The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper

Work on the latest and coolest technologies – everything is home-grown and built ground-up

A dynamic work environment with a strong sense of community and collaboration

The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy

Exciting opportunities for career growth and development

Risks

Competition from established players like CDK Global may impact Tekion's market share.

Data privacy concerns could arise from integrating generative AI into Tekion's platform.

Reliance on partnerships may pose risks if expected synergies are not achieved.

Differentiation

Tekion offers the first cloud-native platform for the automotive retail industry.

The platform integrates AI and machine learning for predictive analytics and personalization.

Tekion's Automotive Partner Cloud enables seamless data sharing across the automotive ecosystem.

Upsides

Increased adoption of cloud-native solutions boosts demand for Tekion's platform.

AI integration in dealership systems enhances customer experience and operational efficiency.

Subscription-based SaaS model aligns with industry trends, supporting Tekion's growth.

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