Software Engineer (6+ years

We are helping an on-demand, autonomous ride-hailing company find a Software Engineer to design and build production-grade AI applications, agents, and conversational systems.

In this role, you’ll develop AI-powered products that support complex task execution, decision-making, and customer interactions. You’ll evaluate and integrate large language models, build Retrieval Augmented Generation systems, and partner with cross-functional teams to deliver scalable, reliable AI solutions.

The ideal candidate is an experienced software engineer with a strong Python and machine learning background, hands-on experience building AI applications, and a practical understanding of how to balance model accuracy, latency, cost, and user experience.

• Design and develop AI agents and autonomous systems capable of complex task execution and decision-making.
• Build conversational AI applications, including chatbots and voice-based customer service systems.
• Develop AI-powered integrations across applications, platforms, and services.
• Design and optimize Retrieval Augmented Generation systems using vector databases, embeddings, retrieval strategies, and prompt engineering.
• Develop, implement, and optimize machine learning models using PyTorch.
• Evaluate and select large language models based on accuracy, latency, cost, capabilities, and user experience.
• Translate business requirements into scalable technical AI solutions in partnership with cross-functional teams.
• Architect, deploy, and maintain production-grade AI systems with a focus on reliability, scalability, security, and performance.
• Monitor AI system performance and improve model quality, response accuracy, and operational efficiency.

• 6+ years Proficiency in Python for AI/ML development
• 6+ years Experience with PyTorch (or willingness to learn for entry-level candidates)
• Understanding of AI agents and their application to real-world problems
• Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
• Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt engineering
• Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
• Understanding of transformer neural network architecture and attention mechanisms 6+ years
• Experience integrating AI capabilities into applications or eagerness to learn application development

• Proficiency in Kotlin programming
• Full-stack development experience with both backend and frontend technologies
• Cloud software development experience, especially microservices architecture and integration
• Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven architectures
• Knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with AI frameworks like Lang Chain, Llama Index, Auto Gen, or similar tools Understanding of CI/CD pipelines and Dev Ops practices

• Life Insurance
• Medical Insurance
• 401k