Role Description: What will you do?
- Design, develop, and test software components that enable automotive dealerships to better engage with their customers.
- Build and integrate AI/ML solutions — including developing and consuming LLM APIs, training and fine-tuning models, and deploying them into production environments.
- Collaborate with business stakeholders and customers to translate real-world needs into scalable technical solutions.
- Work across diverse tech stacks such as microservices, iOS/Android development, cloud infrastructure, and more.
- Communicate effectively with your team leader and product managers to set clear project goals, timelines, and deliverables.
- Drive technical excellence by speaking up, challenging tradeoffs (speed vs. reliability), and taking ownership of high-quality outcomes.

Education & Experience
- 1–2 years of experience developing cloud-based software services with an understanding of scalability, performance, and reliability.




- Robust computer science fundamentals; a degree in Computer Science/Engineering or equivalent work experience is preferred (Tier 1/Tier 2 institutes like IIT, NIT, etc. are a plus, but not required).
- Excellent communication skills, both technical and non-technical.
- Familiarity with AI/ML fundamentals — including LLMs, embeddings, inference, and model integration. [Preferred]

Technologies We Use
You don’t need to know them all, but you should be excited to learn
- Languages: Java, Python, C#
- Frontend: Angular, React, GWT
- Mobile: Android (Kotlin), iOS (Swift), Flutter
- Frameworks & Infrastructure: Spring, Microservices, Docker, Drools, Kong, Kubernetes
- Databases: Aurora MySQL, Aurora Postgres, MongoDB, Redis, ElasticSearch, Vitess
- Messaging: RabbitMQ, Kafka
- AI/ML Tools: OpenAI API, Gemini API, Claude API, self-fine-tuned open-source models, Codex, Claude Code, ChatGpt
- Cloud: AWS, Google Cloud

We know great candidates don't always match every requirement. If this role excites you and y

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