Senior AI Backend Engineer

 Posted an hour ago
  
 Italy
  
5-10 years experience
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AI Summary

Build and operate a production backend for a Voice-to-Action AI pipeline involving Speech-to-Text and LLM orchestration. Design scalable distributed systems and develop evaluation frameworks to optimize non-deterministic AI performance.

ob Title: Senior AI Backend Engineer
Key Skills: Python, FastAPI, REST APIs, Distributed Systems, LLM Orchestration, AWS, Docker, CI/CD, AI Evaluation Frameworks, STT Pipelines
Experience: +7 YOE
Location: LATAM (Exclusive)
Mode: Remote

 

We at Coforge are hiring a Senior AI Backend Engineer (21736) with the following skill set.

Key Responsibilities

  • Build and operate the production backend for a Voice-to-Action AI pipeline, including Speech-to-Text (STT) and LLM orchestration services
  • Design scalable and reliable backend systems within an existing distributed architecture
  • Develop instrumentation, evaluation, and regression frameworks for AI workflows and LLM-based systems
  • Define and monitor key quality metrics such as transcription accuracy, normalization drift, edit rate, and field-audio performance
  • Establish feedback loops and calibration practices to optimize non-deterministic AI systems in production
  • Evaluate and benchmark STT and LLM providers against internal performance metrics
  • Build and maintain scalable cloud-native services using AWS, Docker, and CI/CD pipelines
  • Collaborate with backend engineering teams to improve operational excellence and platform scalability
  • Support the adoption of AI-assisted and agentic engineering workflows across the organization
  • Contribute to broader backend platform initiatives after the Voice-to-Action pipeline reaches production readiness

Required Skills & Qualifications

  • 7+ years of experience in backend engineering with strong expertise in Python
  • Hands-on experience with FastAPI or similar backend frameworks
  • Strong understanding of REST API development, service architecture, and distributed systems
  • Proven experience deploying and operating production systems on AWS, GCP, or Azure
  • Strong knowledge of Docker, CI/CD pipelines, cloud infrastructure, and operational best practices
  • Experience building and maintaining production-grade AI/LLM systems
  • Proven track record of implementing instrumentation, evaluation, regression testing, and monitoring for non-deterministic AI components
  • Strong analytical and problem-solving mindset with focus on measurement and reliability
  • Ability to quickly learn new domains and adapt to evolving technologies
  • Experience working in fast-paced engineering environments with changing requirements

Preferred Skills

  • Deep experience with LLM orchestration frameworks and AI evaluation infrastructure
  • Experience with hosted LLM APIs such as OpenAI, Anthropic, Bedrock, or Vertex AI
  • Familiarity with STT/ASR providers such as Whisper, Deepgram, or AssemblyAI
  • Knowledge of MLOps and AI observability/monitoring tools
  • Experience with agentic coding workflows such as Claude Code, Cursor, or similar platforms
  • Backend experience in TypeScript or Node.js environments
  • Experience with mobile voice pipelines or audio processing systems
  • Bilingual or multilingual NLP experience
  • Strong technical leadership and mentorship capabilities

 

Posted On: 05-06-2026

 

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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