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We are seeking a highly skilled Senior AI Backend Engineer to design, develop, and scale backend systems that power AI-driven products. This role sits at the intersection of backend engineering, machine learning systems, and production infrastructure, ensuring AI solutions are scalable, secure, reliable, and production-ready. The ideal candidate must have strong experience in Python, TensorFlow, and Keras, along with expertise in deploying and managing AI/ML solutions in production environments. Location: Bengaluru, Hyderabad (Hybrid) Shift Timings: 2:00 PM 11:00 PM IST Work Schedule: Monday to Friday Notice Period: Immediate Joiners only Key Responsibilities Design and develop scalable backend services supporting AI-powered applications. Build and maintain APIs for model inference, including LLMs, NLP, computer vision, and recommendation systems. Deploy, manage, and optimize machine learning models in production environments. Develop data pipelines for model training, evaluation, and real-time inference. Optimize system performance to support low-latency, high-throughput AI workloads. Implement monitoring, logging, and observability solutions for AI services. Ensure system security, reliability, scalability, and operational excellence. Collaborate with Machine Learning Engineers to productionize AI and ML models. Work closely with DevOps teams to manage cloud infrastructure and CI/CD pipelines. Required Qualifications 78 years of backend development experience. Strong proficiency in Python (preferred). Must have hands-on experience with TensorFlow and Keras. Experience developing RESTful APIs and/or GraphQL services. Experience working with machine learning frameworks such as TensorFlow or PyTorch. Proven experience deploying machine learning models into production environments. Hands-on experience with Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Agentic AI systems. Experience with cloud platforms such as AWS, GCP, or Azure. Strong understanding of SQL and NoSQL databases. Experience with Docker and containerization technologies. Good understanding of distributed systems and microservices architecture. Preferred Qualifications Experience with model serving frameworks such as FastAPI, Triton Inference Server, or TorchServe. Knowledge of vector databases such as Pinecone, Weaviate, or FAISS. Experience with event streaming platforms such as Kafka or Google Pub/Sub. Familiarity with Kubernetes and container orchestration. Understanding of MLOps practices, frameworks, and tooling. Experience working in high-growth or startup environments. Technical Skills Backend: Python, FastAPI, REST APIs, GraphQL, Microservices AI/ML: TensorFlow, Keras, PyTorch, LLMs, RAG, Agentic AI Cloud: AWS, Azure, GCP Databases: SQL, NoSQL, Vector Databases DevOps & Infrastructure: Docker, Kubernetes, CI/CD Messaging & Streaming: Kafka, Pub/Sub Ideal Candidate The ideal candidate combines strong backend engineering fundamentals with hands-on experience building and deploying AI-powered applications. They should be comfortable working across backend services, cloud infrastructure, machine learning systems, and production AI environments. .
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.