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.