AI Engineer
Cotecna is a leading provider of testing, inspection and certification services. Founded in Switzerland in 1974, Cotecna started off as a family business and has now grown to become a world-class international player with over 7000 employees in more than 140 offices across 50 countries.
Mission of the Role
Design, build, and productionize enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. Own the complete lifecycle from proof of concept to scalable, secure, and highly reliable production deployment.
Key Responsibilities
Build, deploy, and optimize LLM-powered applications, agentic workflows, and RAG-based solutions for enterprise use cases.
Design and implement scalable AI services leveraging Azure OpenAI, Claude, and other foundation model APIs.
Develop robust prompt engineering strategies, structured outputs, function/tool calling, and agent orchestration patterns.
Create end-to-end RAG pipelines, including document ingestion, chunking, embeddings, vector search, re-ranking, evaluation, and monitoring.
Ensure production reliability through observability, performance optimization, token management, retries, streaming responses, and fault-tolerant architectures.
Implement Responsible AI practices, including PII protection, prompt injection mitigation, output validation, cost controls, and latency guardrails.
Develop and integrate AI services using Azure Functions, Service Bus, Key Vault, Document Intelligence, and REST APIs.
Collaborate with cross-functional teams to convert AI POCs into scalable production-grade solutions.
Drive continuous experimentation, model evaluation, and innovation in Generative AI and Agentic AI technologies.
Qualifications, Experience and Technical Skills
.NET / C# integration experience and interoperability with backend systems.
Experience with MongoDB, Redis, and event-driven architectures.
Knowledge of model fine-tuning techniques, including LoRA.
Expertise in embedding model evaluation, selection, and optimization.
Hands-on experience with multimodal AI solutions involving vision and speech models.
Familiarity with evaluation frameworks such as Ragas, Promptfoo, and Azure AI Evaluation SDK.
Experience with containerization and cloud-native deployments using Docker, AKS, and Azure Container Apps.
Exposure to Human-in-the-Loop (HITL) workflows and AI-assisted user interfaces.
GENERAL INFORMATION
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Geographical Scope
Country
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Function
IT
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Seniority
Employee
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Country
India
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City
Bangalore
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Contract
Full-time unlimited
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Subject To Travel
No
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Open Until
2026/11/06