{"id":743125,"url":"https://alion.io/job/mykaarma-software-developer-ii","title":"Software Developer II","company":{"id":679401,"name":"myKaarma","domain":"mykaarma.com","url":"https://alion.io/company/mykaarma-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Transformers","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Angular","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"C#","optional":true},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Claude Code","optional":true},{"name":"Dart","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Encoder-Decoder","optional":true},{"name":"Flutter","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kong","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"MySQL","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pre-training","optional":true},{"name":"Python","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true},{"name":"React.js","optional":true},{"name":"Redis","optional":true},{"name":"Self-Attention","optional":true},{"name":"Swift","optional":true},{"name":"Tokenization","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-27T15:53:54Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-31T08:36:54Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"About myKaarma\nAt 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.\nRooted 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.\nRole Description: What Will You Do?\nDesign, develop, and test software components used by automotive dealerships to interact with their customers.\nLead the design, build, and integration of AI/ML solutions, including: developing and consuming LLM APIs, fine-tuning, and deploying models into production systems.\nCollaborate directly with business stakeholders-including customers-to understand requirements and deliver impactful solutions.\nWork across a variety of tech stacks (microservices, mobile development, cloud platforms, etc.) in a fast-moving, dynamic environment.\nMentor and review the work of SDE I engineers, helping them grow in technical expertise.\nTake initiative to improve overall system architecture, scalability, and reliability.\nExercise ownership by challenging trade-offs between speed and reliability when building solutions (“pulling the Andon cord”).\nEducation & Experience\n2-5 years of experience developing cloud-based software services with a strong understanding of design for scalability, performance, and reliability.\nHands-on experience deploying and optimizing AI/ML solutions in production environments. [Preferred]\nEducation: BTech or Equivalent 4yr degree in Computer Science/Engineering (Tier 1/Tier 2 institutes such as IIT/NIT preferred, but not required).\nAI/ML Fundas\nData & ML Lifecycle: Can clearly explain the purpose and importance of train/validation/test splits. Understands \"garbage in, garbage out\" and the conceptual importance of data cleaning, normalization, and augmentation. Can explain the purpose of common metrics (e.g., accuracy, precision/recall, loss) and identify clear overfitting or underfitting from loss curves.\nNeural Networks (NNs): Can intuitively explain the basic components of a neural network (neurons, layers, weights, activation functions). Understands how a network \"learns\" via loss functions, gradient descent, and backpropagation. Can differentiate between training and inference.\nTransformers: Understands the motivation for the Transformer architecture (limitations of RNNs/CNNs). Nice to have:Can intuitively explain key components like self-attention, positional encodings, and encoder-decoder structure. Grasps self-attention and multi-head attention concepts.\nLarge Language Models (LLMs): Understands the relationship between Transformers and LLMs (scaling laws, pre-training/fine-tuning). Familiar with tokenization and prompt-based interaction. Aware of core application patterns like Retrieval-Augmented Generation (RAG) and LLM-based agents. Nice to have:Recognizes model limitations (hallucinations) and the importance of responsible AI.\nTechnologies We Use\nYou don’t need to know all of these from day one-but familiarity with several is a big plus:\nLanguages: Java, Python, C#\nFrontend: Angular, React, GWT\nMobile: Android (Kotlin), iOS (Swift), Flutter\nFrameworks & Infrastructure: Spring, Microservices, Docker, Drools, Kong, Kubernetes\nDatabases: Aurora MySQL, Aurora Postgres, MongoDB, Redis, ElasticSearch, Vitess\nMessaging: RabbitMQ, Kafka\nAI/ML Tools: OpenAI API, Gemini API, Claude API, self-fine-tuned open-source models, Codex, Claude Code, ChatGpt\nCloud: AWS, Google Cloud\nWe know great candidates don't always match every requirement. If this role excites you and your experience aligns with many of the qualifications, we'd encourage you to apply. Skills can be learned-we also value curiosity, ownership, and a willingness to grow.\nTotal Rewards at myKaarma\nAt 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:\nFlexible 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.\nHealth and Wellness: Comprehensive medical, dental, vision, life, and disability benefits, along with wellness and telework stipends.\nTime Off: Generous vacation time to recharge and balance life outside work.\nIn-Office Perks: Enjoy dog-friendly offices and unlimited snacks or refreshments onsite.\nOur Commitment to Inclusion\nAt 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.\nAs an equal opportunity employer, myKaarma prohibits any form of unlawful discrimination or harassment based on race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by applicable laws in the regions where we operate. We adhere to all EEOC regulations and actively promote an environment that celebrates and supports diversity, equity, and inclusion for all.\nApplicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Reasonable accommodation is a change in the way things are normally done, which will ensure an equal employment opportunity without imposing undue hardship on myKaarma. Please let us know if you require reasonable accommodations during the application or interview process by filling outthis form.\nmyKaarma participates in theE-Verify Program.\nmyKaarma considers candidates requiring work authorization on a case-by-case basis. 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