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Home / Current Openings / AI Software Engineer-1 AI Software Engineer-1 Job Type : Full-Time Location : Chennai (WFO) Job Description: As anAISoftware Engineer 1, you will be a key contributor to the design, development, and deployment ofAI-driven solutions across bothComputer VisionandLarge Language Model (LLM)domains. You will be responsible for building deep learning models, writing scalable and maintainable code, and integrating these models into production-grade systems. The role demands a strong foundation inAI/ML theory, proficiency in practical deep learning, and a hands-on approach to software development. You will work closely with cross-functional teams to translate business requirements into workingAIsolutionsranging from real-time vision systems to NLP pipelines and user-facing interfaces that interact withAIservices. We are looking for candidates who can thrive in a technically diverse environment and are enthusiastic about pushing the boundaries of appliedAI. Responsibilities: Software Engineering & System Integration Write clean, modular, production-ready code for inference pipelines and AI systems.Develop andmaintaininterfaces and user-facing components for AI tools and services.Collaborate with backend and platform teams to integrate models into scalable systems.Contribute to CI/CD pipelines, code reviews, testing strategies, and performance monitoring. Deep Learning &AIModel Development Design, train, and evaluate deep learning models for CV and NLP use cases.Develop end-to-end solutions for: Computer Vision tasks (object detection, segmentation, OCR, activity recognition).Language-related tasks (document parsing, question answering, summarization, RAG pipelines, Building LLM Agents to solve tasks).Optimize model performance using benchmarking and validation against real-world datasets. Data Management & Curation Plan, collect, and preprocess data across modalities (images, video, text).Coordinate with internal teams and vendors for annotation and validation tasks.Define data versioning, quality control, and reproducibility standards. Research & Innovation Keep up with the latest in deep learning, computer vision, and LLM advancements.Prototype and evaluate new architectures (e.g.,ViTs, SAM, LVMs, LLMs likeLLaMA, GPT, Mistral).Publish internal documentation and contribute to tech blogs or open-source codebases whereappropriate. Requirements: Strong programming skills in Python with hands-on experience using deep learning frameworks (PyTorch/TensorFlow), LLMs frameworks (Autogen/SmolAgents/Langchain) &VLMs.1+years of experience building AI models in at least one domain (CV or NLP).Proficiency in modellifecycle: training, validation, deployment, and monitoring.Experience working with Git, Docker, and Linux-based environments.Good understanding of ML fundamentals: CNNs, Transformers, LLMs, optimization techniques.Ability to build simple UI components that interface with backend AI services. .
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.