AI Engineer

Collabera; Bengaluru Urban; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

Collabera is hiring an AI Engineer to join a growing team focused on production-grade AI systems. The role spans traditional ML, NLP, LLM-powered apps, and multimodal AI, with emphasis on Azure deployment and enterprise-scale solutions.

You will design, build, and deploy AI/ML models, integrate chatbots, and collaborate across product, engineering, and IT to deliver end-to-end AI capabilities for Fortune 100/500 clients.

Qualifications

• Strong Python skills and hands-on experience in AI engineering.
• Experience with traditional ML, NLP pipelines, and LLM APIs/SDKs.
• Proven track record building chatbots or conversational AI in production.
• Familiarity with ML/AI libraries (PyTorch, TensorFlow, Hugging Face).

Responsibilities

• Design, build, and deploy AI/ML models on Azure (Azure ML, AKS, Functions).
• Develop and integrate LLM-powered applications (Azure OpenAI, GPT APIs).
• Build chatbot and conversational AI systems for enterprise productivity.
• Develop ML models and integrate with NLP workflows and LLMs.
• Architect agentic AI systems and orchestration workflows.
• Work with vector databases for retrieval-augmented generation (RAG).
• Explore AI use cases like video analytics and emotion analysis.
• Integrate AI solutions with ERP/CRM/ITSM systems.
• Build and integrate APIs/web services for enterprise apps.
• Ensure production readiness: CI/CD, monitoring, observability, tuning, cost optimisation.
• Collaborate with product, engineering, and IT teams end-to-end.

Skills

Python

AI engineering

Azure deployment

LLM integration

NLP pipelines

Vector databases

APIs / Microservices

MLOps

PyTorch

Job description

Job Location

Remote

Shift Timings

12:00 PM IST to 9:00 PM IST

https://www.linkedin.com/showcase/collaberagtc/

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.