Software Developer II (AI/ML)

At myKaarma, we’re not just leading the way in fixed ops solutions for the automotive industry—we’re redefining what’s possible for dealership service centers. Headquartered in Long Beach, California, and powered by a global team, our industry-leading SaaS platform combines communication, scheduling, and payment tools in one seamless solution that keeps dealerships and vehicle owners connected. With myKaarma, every service interaction flows effortlessly, bringing good karma to customers and service teams.

Rooted in the principles of the Toyota Production System, we operate with precision, efficiency, and a relentless focus on continuous improvement to deliver a better experience for all. We’re looking for innovators, problem-solvers, and tech enthusiasts passionate about building solutions that people love to use. If you’re ready to make an impact in an industry ripe for change, join us at myKaarma and help shape the future of automotive service.

Role Description:
What Will You Do?

• Design, develop, and test software components used by automotive dealerships to interact with their customers.
• Lead the design, build, and integration of AI/ML solutions, including:
• • Developing and consuming LLM APIs.
  • Training, fine-tuning, and deploying models into production systems.
• Collaborate directly with business stakeholders—including customers—to understand requirements and deliver impactful solutions.
• Work across a variety of tech stacks (microservices, mobile development, cloud platforms, etc.) in a fast-moving, dynamic environment.
• Mentor and review the work of SDE I engineers, helping them grow in technical expertise.
• Take initiative to improve overall system architecture, scalability, and reliability.
• Exercise ownership by challenging trade-offs between speed and reliability when building solutions (“pulling the Andon cord”).

Education & Experience

• 2–5 years of experience developing cloud-based software services with a strong understanding of design for scalability, performance, and reliability.
• 2+ years of hands-on experience deploying and optimizing AI/ML solutions in production environments.
• Education: BTech or Equivalent 4yr degree in Computer Science/Engineering (Tier 1/Tier 2 institutes such as IIT/NIT preferred, but not required).
• Skills:
• • Proficiency in at least one modern programming language (Java, Python, or C#).
  • Understanding of data structures, algorithms, and design principles.
  • Strong communication skills for working with technical and non-technical teammates.
  • Curiosity and eagerness to learn new tools, frameworks, and architectures.
  • Operating system and networking fundas
  • AI/ML Fundas:
  • • Data & ML Lifecycle
    • • Core Concepts: Can clearly explain the purpose and importance of train/validation/test splits.
      • Data Intuition: Understands "garbage in, garbage out." Can discuss the conceptual importance of data cleaning, normalization, and augmentation.
      • Evaluation: Can explain the purpose of common metrics (e.g., accuracy, precision/recall, loss). Can look at a training/validation loss curve and identify clear overfitting or underfitting.
    • Neural Networks (NNs)
    • • Core Concepts: Can intuitively explain the basic components of a neural network (neurons, layers, weights, activation functions) and their purpose.
      • Training Dynamics: Understands, at a high level, how a network "learns" via loss functions, gradient descent, and backpropagation.
      • Practical Intuition: Can conceptually differentiate between training and inference and is familiar with core issues like overfitting and underfitting.
    • Transformers
    • • Motivation: Understands the motivation for the Transformer architecture (e.g., the limitations of sequential models like RNNs/CNNs for long-range dependencies).
      • *Core Mechanics: Can intuitively explain the purpose of key components like self-attention, positional encodings, and the encoder-decoder structure.
      • *Attention Intuition: Grasps the basic idea of self-attention (how a model learns which words are important to each other) and multi-head attention (looking at a sequence in different "ways").
    • Large Language Models (LLMs)
    • • *Architecture & Scaling: Understands the relationship between Transformers and LLMs and is aware of concepts like scaling laws and the pre-training/fine-tuning paradigm.
      • Practical Pipeline: Familiar with the concepts of tokenization (how text is processed) and prompt-based interaction.
      • Application Concepts: Aware of core application patterns like Retrieval-Augmented Generation (RAG) and the idea of LLM-based agents.
      • Responsible AI: Recognizes model limitations (e.g., hallucinations) and understands the importance of responsible AI, safety, and model interpretability.

                            * Nice to have

Technologies We Use

You don’t need to know all of these from day one—but familiarity with several is a big plus:

• Languages & Frameworks: Java, Python, C#, Angular, React, GWT, Bootstrap
• Mobile: Android (Kotlin), iOS (Swift), Flutter
• Backend & Architecture: Spring, Microservices, Drools, Kong
• Containers & Orchestration: Docker, Docker Swarm, Kubernetes
• Databases & Storage: MySQL, MongoDB, Redis, ElasticSearch, Vitess
• Messaging & Streaming: RabbitMQ, Kafka
• AI/ML & APIs: OpenAI API, Gemini API, AWS Bedrock, AWS SageMaker, Fine-tuned open-source models, Cursor IDE, Codex
• Cloud Platforms: AWS, Google Cloud

What We’re Offering

• A small, global engineering team with direct impact on business outcomes.
• Competitive salary and equity potential.
• Flexible leave policy—we don’t count your vacations.
• A diverse, relaxed, and results-oriented workplace.
• Fun perks: unlimited snacks, a ping-pong table, and regular outings.

We value diverse experiences and backgrounds, so we encourage you to apply if you meet some but not all of the listed qualifications.

Total Rewards at myKaarma

At myKaarma, we offer a comprehensive Total Rewards package that extends beyond the base salary. Our commitment to competitive compensation includes bonuses and benefits that support both personal and professional well-being:

• Flexible Work Environment: We embrace a high-performance, flexible structure that values freedom and responsibility. Our “Highly Aligned, Loosely Coupled” model empowers teams to innovate and continuously improve using data-driven insights.
• Health and Wellness: Comprehensive medical, dental, vision, life, and disability benefits, along with wellness and telework stipends.
• Time Off: Generous vacation time to recharge and balance life outside work.
• In-Office Perks: Enjoy dog-friendly offices and unlimited snacks or refreshments onsite.

The starting salary range for this role is  starting at  ₹40 Lakhs + Bonus, depending on experience and qualifications, reflecting our dedication to competitive industry compensation. Additional details about our Total Rewards package will be shared during recruitment.

Our Commitment to Inclusion

At myKaarma, diverse perspectives drive innovation and success. We are committed to creating a safe, welcoming, and inclusive workplace where every employee feels valued and empowered and can do meaningful work. Our mission to deliver exceptional solutions to our clients is strengthened by the unique contributions and perspectives of our team members from all backgrounds.