AI Engineer - Azure Platform

Job Title : AI Engineer

Job Location : Remote

Shift Timings : 12 : 00 PM IST to 9 : 00 PM IST

Collabera, a leader in staffing Industry, is looking for AI Engineer / Senior AI Engineer Our employees work in fast paced, high energy work environment driven by our unique work culture that embraces competitiveness, passion and work hard-play hard approach to the fullest. Our clientele comprises of many Fortunes 100/500 organisations across various industry domains.

About the Role :

We are expanding our AI team to build, scale and enhance our production-grade AI systems. As an AI Engineer, you will work across the full spectrum of AI traditional ML, NLP, LLM-powered applications, conversational AI, multimodal AI (text, audio, video), agentic architectures, and evolving AI use cases with a strong focus on Azure-based deployment.

This role is about applying and integrating AI technologies into enterprise solutions and workflows, driving efficiency, automation, and actionable insights across business functions.

Key Responsibilities :

- Design, build, and deploy AI/ML models and applications on Azure (Azure ML, Cognitive Services, AKS, Functions).

- Develop and integrate LLM-powered applications (Azure OpenAI, GPT-based APIs, Hugging Face models).

- Build and deploy chatbot and conversational AI systems for enterprise productivity, knowledge and

information management.

- Develop traditional ML models (classification, prediction, recommendation) and combine them with LLM/NLP workflows.

- Architect and implement agentic AI systems and orchestration workflows.

- Work with vector databases (Pinecone, Weaviate, Milvus, FAISS, Qdrant) for retrieval-augmented generation (RAG).

- Explore and implement emerging AI use cases such as video analytics, emotion/sentiment analysis, and ranking systems.

- Integrate AI solutions with enterprise applications and platforms (ERP, CRM, ITSM, HR systems).

- Build and integrate APIs/web services for enterprise applications.

- Ensure production readiness : CI/CD, monitoring, observability, performance tuning, and cost optimization.

- Collaborate with product, engineering, and IT teams to deliver end-to-end AI solutions.

Required Skills & Experience :

- 4 to 6 years in software/AI engineering with strong Python skills.

- Hands-on experience with traditional ML techniques, NLP pipelines, and using LLMs via APIs and SDKs.

- Prior experience building chatbots or conversational AI systems in production.

- Familiarity with ML/AI libraries and toolkits (PyTorch, TensorFlow, Hugging Face, LangChain/LlamaIndex/Semantic Kernel).

- Proven track record deploying AI applications on Azure.

- Experience with vector databases and embeddings for retrieval.

- Exposure to agentic systems and orchestrating multi-step reasoning.

- Skilled at building APIs/microservices and integrating AI into enterprise systems.

- Familiar with MLOps practices : CI/CD, model lifecycle, monitoring, and scaling.

Preferred Qualifications :

- Experience with agent frameworks (LangChain, AutoGen, Semantic Kernel, Haystack).

- Knowledge of prompt design, RAG workflows, and LLM integration best practices.

- Strong background in NLP pipelines (NER, sentiment, text classification, search).

- Experience with multimodal AI (text, audio, video), computer vision, or emotion analysis.

- Knowledge of data pipelines/ETL for AI workloads.

- Understanding of enterprise AI security, compliance, and governance.

- Azure certifications or prior enterprise-scale Azure deployments.