AI Software Engineer-1

Detect Technologies

Chennai District

On-site

INR 600,000 - 1,200,000

Full time

14 days+

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Job summary

Detect Technologies is seeking an AI Software Engineer to contribute to the design and deployment of AI-driven solutions in areas like computer vision and natural language processing. The candidate will engage in developing deep learning models and integrating them into production systems.

You will collaborate closely with various teams to fulfill business needs and enhance AI applications. The position requires a robust programming background in Python and experience with frameworks such as PyTorch and TensorFlow.

Qualifications

  • 1+ years of experience in building AI models focused on CV or NLP.
  • Strong understanding of machine learning fundamentals.
  • Ability to construct simple UI components for backend AI services.

Responsibilities

  • Develop and maintain high-quality code for AI systems.
  • Collaborate with teams to integrate models into scalable solutions.
  • Plan and manage data across modalities like images, video, and text.

Skills

Python programming
Deep learning frameworks (PyTorch/TensorFlow)
AI model development
Experience with LLM frameworks
Git
Docker
Linux-based environments

Job description

  • As an AI Software Engineer – 1, you will be a key contributor to the design, development, and deployment of AI-driven solutions across both Computer Vision and Large Language Model (LLM) domains. You willbe responsible forbuilding deep learning models, writing scalable and maintainable code, and integrating these models into production-grade systems. The role demandsa strong foundationin AI/ML theory,proficiencyin practical deep learning, and a hands‑on approach to software development.
  • You will work closely with cross‑functional teams to translate business requirements into working AI solutions—ranging from real‑time vision systems to NLP pipelines and user‑facing interfaces that interact with AI services.
  • We are looking for candidates who can thrive in a technically diverse environment and are enthusiastic about pushing the boundaries of applied AI.
Responsibilities
Software Engineering & System Integration
  • Write clean, modular, production‑ready code for inference pipelines and AI systems.
  • Develop and maintain interfaces 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.
  • 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.
  • Keep up with the latest in deep learning, computer vision, and LLM advancements.
  • Prototype and evaluate new architectures (e.g., ViTs, SAM, LVMs, LLMs like LLaMA, GPT, Mistral).
  • Publish internal documentation and contribute to tech blogs or open‑source codebases where appropriate.
Requirements
  • Strong programming skills in Python with hands‑on experience using deep learning frameworks (PyTorch/TensorFlow), LLM’s frameworks (Autogen/SmolAgents/Langchain) & VLM’s .
  • 1+ years of experience building AI models in at least one domain (CV or NLP).
  • Proficiency in model lifecycle: 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.
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