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We are looking for 2 candidates for the Senior AI Engineer Role. Role: Senior AI Engineer Location: Pune, MH (Work from office, 5 days a week) Exp: 5+ years Employment Type: Full-Time with Quanta Systems Technologies LLP (Quantum Integrators) Shift Time: UK Shift (04.00 PM to 01.00 AM IST) Notice Period: Immediate joiner Number of positions: 2 About the Role: We are seeking a highly skilled and experienced AI Engineer to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying AI solutions, with hands-on experience in Generative AI, Large Language Models (LLMs), machine learning frameworks, and cloud-based AI platforms. This role requires collaboration with cross-functional teams and alignment with stakeholders. Key Responsibilities: Design, develop, and deploy AI solutions for business-critical applications.Build and optimize Generative AI applications using Large Language Models (LLMs).Develop and maintain end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.Fine-tune and customize foundation models for specific business use cases.Implement Retrieval-Augmented Generation (RAG) architectures and vector database solutions.Integrate AI solutions with existing enterprise applications and APIs.Monitor model performance, troubleshoot issues, and continuously improve AI systems.Collaborate with product, engineering, and business teams to translate requirements into scalable AI solutions.Stay updated with emerging AI technologies, frameworks, and industry best practices.Ensure adherence to security, compliance, and responsible AI standards. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science with a major in Artificial Intelligence, Data Science, or a related field.7+ years of hands-on experience in AI/ML engineering and solution development.Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.Experience working with Large Language Models (OpenAI, Claude, Llama, Gemini, etc.).Hands-on experience with RAG frameworks, vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.), and prompt engineering.Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.Knowledge of cloud platforms such as AWS, Azure, or GCP and their AI services.Experience building and deploying scalable AI applications using Docker, Kubernetes, and CI/CD pipelines.Familiarity with REST APIs, microservices architecture, and software engineering best practices.Strong understanding of data structures, algorithms, and system design principles.Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications: Experience with AI agents, autonomous workflows, and multi-agent systems.Exposure to MLOps tools and frameworks.Experience in enterprise AI deployments and production-grade systems.Knowledge of model evaluation, AI governance, and responsible AI practices.Experience working with distributed teams and US-based clients. What We Offer: Opportunity to work on cutting-edge AI and Generative AI initiatives.Exposure to global clients and challenging business problems.Collaborative and innovation-driven work environment.Career growth opportunities in a rapidly evolving AI ecosystem. Skills Required Docker, Kubernetes, Tensorflow, Gcp, Rest Apis, Pytorch, Azure, Aws, Python .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
