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Turvo

Posted 2 months ago

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Senior Software Engineer - AI

HyderabadOn-siteFull-time

AI Summary

Senior Software Engineer focuses on designing, developing, and deploying AI-enabled microservices in a Turvo TMS ecosystem, with emphasis on Java/Spring, NLP, and LLM integration.

About this role

About Turvo:
Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo’s customers include some of the world’s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.
Turvo is based in Dallas, Texas, with offices in Hyderabad, India. (www.turvo.com).

Responsibilities:

  • The Senior Software Engineer helps Turvo maintain high standards through analysis, design, development, and deployment activities.
  • Review product specifications and produce top-quality high-level/low-level technical design deliverables.
  • Evaluate technical solutions for feasibility and fit, at the same time provide recommendations and feedback.
  • Collaborate cross-functionally to make technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole.
  • Work closely with Software and Quality Engineers in your peer group to implement solutions, test, automate, and deliver high-quality features .
  • Perform thorough code-reviews and provide actionable feedback.
  • Implement automation for clean code, quality gates, and security vulnerability checks.
  • Document components and design, both in-code and on collaborative tools like Confluence.
  • Iteratively improve the underlying infrastructure and third-party libraries.
  • Resolve escalated customer technical inquiries.

    • Qualifications:

  • Minimum 3 years of relevant experience working on Java, Spring and SpringBoot.
  • Bachelor's degree in Computer Science, related field, or relevant experience.
  • Experience building microservice-based high-performance, stable, scalable systems that have been successfully deployed in an enterprise setting.
  • Experience mentoring other Engineers.
  • Knowledge of API driven platform development & Software Integration.
  • Must have expertise in relational and non-relational/NoSQL databases like MySQL, Oracle, MongoDB, ES, etc.
  • Knowledge on Agile development tools, CI/CD tools like Jenkins and Test driven development tools.
  • Experience working with Large Language Models (LLMs) such as GPT, LLaMA, or similar, including fine-tuning and prompt engineering for enterprise use cases.
  • Strong understanding of natural language processing (NLP) concepts such as embeddings, semantic search, and text classification.
  • Ability to design and integrate LLM-powered solutions into microservice-based architectures, ensuring scalability and performance.

    • Nice to have:

  • Experience in designing, leading and shipping complex web applications.
  • Experience developing applications for the Supply-Chain domain.
  • An eye towards modern product design and minimalistic user experience.
  • Knowledge of cutting edge technologies such as PaaS, NoSQL, Event processing etc.
  • You proactively contribute to knowledge-sharing across the Turvo engineering community.
  • You demonstrate resilience and navigate difficult situations with composure and tact.
  • Is self-motivated and able to work independently.
  • Experience applying LLMs to supply chain or logistics problems, such as intelligent document processing, automated customer support, or predictive insights.
  • Knowledge of responsible AI practices, including bias detection, model evaluation, and secure handling of sensitive data.
  • Exposure to cloud-based AI platforms (Azure OpenAI Service, AWS Bedrock, or GCP Vertex AI) for deploying and managing LLM applications.

    • Skills

    AI/ML Integration In MicroservicesAPIsCI/CD (Jenkins)Cloud Platforms (Azure OpenAI Service, AWS Bedrock, GCP Vertex AI)Code ReviewsConfluenceDesign PatternsDistributed SystemsEvent ProcessingJavaLLMs (GPT, LLaMA, Prompt Engineering, Fine-tuning)MicroservicesNLP Concepts (embeddings, Semantic Search, Text Classification)Non-relational Databases (MongoDB, Elasticsearch)NoSQLPaaSRelational Databases (MySQL, Oracle)Security Vulnerability ChecksSpringSpringBootTest-driven Development

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