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AI Engineer

12 hours, 44 minutes ago
India
Full-time
Senior
AI Engineer
Software Development
AWS Azure Feature Engineering GCP Go gRPC Hugging Face Kafka LLM Machine Learning Microservices MLflow Node.js PostgreSQL Python REST API SageMaker Vertex AI
Apply Now
Jeeves

Jeeves

Jeeves is a global financial infrastructure company that offers open business accounts, corporate cards, cross-border payments, and expense management through a borderless platform. With operations in 25+ countries, Jeeves simplifies and centralizes fi...

Diversified Financial Services
201-500
$368M raised
View All Jobs 30

Description

  • Design, build, and maintain production LLM pipelines, including RAG, prompt engineering, output parsing, and orchestration.
  • Develop AI features for spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
  • Implement output validation, fallback handling, confidence scoring, and human-review workflows for financial AI decisions.
  • Design vector search, document ingestion, chunking, and retrieval-optimization pipelines for financial data.
  • Partner with data scientists to deploy, monitor, and retrain ML models in production.
  • Build model-serving endpoints with latency targets, input validation, output monitoring, and drift detection.
  • Integrate AI services with backend microservices using clear API contracts, circuit breakers, and graceful degradation.
  • Instrument AI systems with logging, tracing, dashboards, and alerting.
  • Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and establish engineering best practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 5+ years of software engineering experience, including 3+ years building AI/ML systems in production.
  • Experience deploying LLM-powered applications using OpenAI, Anthropic, Cohere, or similar APIs.
  • Experience designing and operating RAG pipelines, including chunking, embeddings, and vector databases such as Pinecone, Weaviate, or pgvector.
  • Strong Python proficiency for AI/ML workloads and familiarity with LangChain, LlamaIndex, or a similar orchestration framework.
  • Experience with ML model serving, including REST or gRPC endpoints, validation, latency management, and monitoring.
  • Strong backend fundamentals, including REST APIs, relational databases (PostgreSQL preferred), asynchronous patterns, and AWS, GCP, or Azure.
  • Experience with structured logging, distributed tracing, and AI-system health dashboards.
  • Experience in fintech, financial services, or another regulated industry where AI reliability and auditability are important (preferred).
  • Familiarity with prompt evaluation, A/B testing, ML lifecycle tools, real-time streaming, open-source AI contributions, or startup environments (preferred).

Benefits

  • Full-time remote position.

Interested in this position?

Apply directly on the company website

Apply Now

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