AI Infrastructure Engineer

• Design, develop, and deploy end-to-end AI/ML solutions with a focus on Generative AI and LLM-based systems
• Build and optimize Retrieval-Augmented Generation (RAG) platforms supporting multiple document formats (PDF, DOCX, PPT, CSV, Excel)
• Implement NLP solutions including text summarization, sentiment analysis, classification, named entity recognition, and intelligent search
• Develop multimodal AI systems combining text, image, and document understanding
• Apply Computer Vision techniques for OCR, image recognition, and unstructured document processing

LLMs & Frameworks:

• Work with LLMs such as OpenAI, Claude, Gemini, LLaMA
• Use frameworks like LangChain, NeMo Guardrails, and prompt engineering techniques
• Build AI safety, observability, and monitoring mechanisms for LLM applications
• Optimize model performance, cost, latency, and accuracy in production

Cloud & Platform Engineering:

• Deploy AI solutions on Azure, AWS, or Google Cloud Platform
• Integrate AI services with enterprise systems, APIs, and microservices
• Ensure scalability, reliability, and security of AI platforms
• Implement CI/CD pipelines and MLOps best practices

Leadership & Collaboration:

• Lead and mentor AI/ML developers and engineers
• Collaborate with business stakeholders, product owners, and architects to translate business needs into AI solutions
• Participate in architectural design, code reviews, and best-practice enforcement
• Support client-facing discussions and technical solutioning

Do you have experience in Stakeholder management?, Senior AI/ML Developer to design, develop, and deploy enterprise-grade artificial intelligence and machine learning solutions. This role focuses on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and Computer Vision to drive digital transformation initiatives across advisory and consulting engagements. The ideal candidate will have strong hands-on experience building production-scale AI applications, working across cloud platforms, and collaborating with cross-functional teams in an enterprise environment., * 7+ years of experience in AI/ML engineering or advanced software development

• Strong proficiency in Python and JavaScript
• Hands-on experience with: LLMs & GenAI (OpenAI, Claude, Gemini, LLaMA), NLP libraries (SpaCy, NLTK), ML/DL frameworks (TensorFlow, PyTorch preferred), Computer Vision (OpenCV, OCR technologies)
• Experience with RAG architectures and vector databases
• API development using FastAPI / Node.js
• Experience with Azure Cognitive Services, AWS AI services, or Google Cloud Platform AI tools

Cloud & DevOps Experience:

• Deploying AI solutions on Azure, AWS, or Google Cloud Platform
• Familiarity with containerization and orchestration (Docker, Kubernetes preferred)
• Knowledge of MLOps, observability, and monitoring practices

Soft Skills:

• Strong problem-solving and analytical abilities
• Excellent communication and stakeholder management skills
• Experience working in enterprise/consulting environments preferred
• Ability to lead initiatives end-to-end with minimal supervision, * Experience in consulting or professional services firms
• Experience building AI-powered chatbots (Rasa, Microsoft Bot Framework)
• Exposure to RPA + AI integrations
• Prior experience in regulated or enterprise-scale environments
• AI/ML certifications or advanced coursework (Coursera, Stanford, etc.)