Senior AI Engineer

Job Title :

AI Engineer / Senior AI Engineer

Job Location : Remote

Shift Timings :

12 : 00 PM IST to 9 : 00 PM IST

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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

4–10 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.

Looking forward to hearing from you!