Lead Engineer - AI

Aurigait; Jaipur; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Opportunity to lead impactful AI projects

Work with a talented engineering team

Exposure to cutting-edge technology

Job summary

Aurigait is seeking a Lead Engineer with strong expertise in Computer Vision and Generative AI. In this role, you will drive end-to-end AI solutions and lead a team of engineers.

Ideal candidates should have 5–10 years of AI/ML experience, including technical leadership. You will have the opportunity to work with cutting-edge technologies and make a significant impact with your projects while fostering growth in your team.

Qualifications

• 5–10 years in AI/ML with 2 years in a team lead role.
• Proficiency in object detection and image processing algorithms.
• Exposure to LLMs and Generative AI applications.

Responsibilities

• Drive the entire lifecycle of AI solutions from requirement analysis to monitoring.
• Develop models for computer vision tasks and optimize for performance.
• Lead and mentor a team of engineers to deliver high-quality AI solutions.

Skills

Proficiency in frameworks like PyTorch

Computer Vision expertise

Strong Python expertise

Knowledge of APIs (FastAPI/Flask)

Experience with Docker and Kubernetes

Education

B.E./B.Tech/MCA in Computer Science or related field

Tools

PyTorch

TensorFlow

OpenCV

Docker

Kubernetes

Job description

We are seeking a Lead Engineer with strong expertise in Computer Vision and working knowledge of Generative AI. This role requires a hands‑on leader who can take ownership of delivering end-to-end AI solutions while guiding a team of 8–10 engineers. The right candidate will balance technical depth, solution delivery, and people management.

Key Responsibilities:

End-to-End AI Delivery: Drive the entire lifecycle of AI solutions – requirement analysis, data preparation, model development, optimization, deployment, and monitoring in production environments.

Computer Vision Solutions:

• Develop models for object detection, recognition, tracking, OCR, and video analytics.
• Optimize models for real‑time performance (GPU/edge devices such as NVIDIA Jetson).
• Ensure robustness in challenging conditions (e.g., occlusion, lighting, class imbalance).

Generative AI Applications:

• Integrate LLMs and multimodal AI for use cases like video summarization, natural language queries, automated insights, and incident reporting.
• Build practical workflows combining CV and GenAI (e.g., retrieval‑augmented search across video data).

Technical Leadership:

• Establish coding standards, review best practices, and mentor junior engineers.

Team Management:

• Lead and mentor a team of 8–10 engineers, fostering growth and accountability.
• Collaborate with product managers and stakeholders to translate business problems into measurable AI solutions.
• Ensure timely delivery with high technical quality.
• Stay updated with emerging tools in CV and GenAI, evaluate applicability, and introduce best practices.
• Focus on scalability, cost optimization, and practical deployment challenges.

Required Qualifications:

• Education: B.E./B.Tech/MCA in Computer Science, IT, or related field.
• Experience: 5–10 years in AI/ML with preferably 2 years in a team lead role.
• Technical Expertise:
  • Computer Vision: Proficiency in frameworks like PyTorch, TensorFlow, and OpenCV. Experience with object detection (YOLO, Faster R‑CNN), segmentation, OCR, or tracking algorithms.
  • Generative AI: Exposure to LLM‑based solutions (LangChain, RAG pipelines, or similar frameworks). Ability to integrate GenAI into CV workflows.
  • Deployment & MLOps: Hands‑on with APIs (FastAPI/Flask), containerization (Docker), orchestration (Kubernetes), model registries, and monitoring tools.
  • Performance Optimization: Familiarity with GPU acceleration (CUDA, TensorRT, ONNX Runtime) and scaling inference for production workloads.
  • Programming: Strong Python expertise; exposure to C++/CUDA is a plus.
• Leadership Skills:
  • Proven record of leading 6–10 member engineering teams.
  • Ability to balance technical depth with delivery timelines.
  • Strong communication and problem‑solving skills.

Why Join Us?

• Opportunity to lead impactful AI projects combining Computer Vision and Generative AI.
• Work with a talented engineering team in a high‑growth environment.
• Exposure to cutting‑edge technology while solving real‑world problems at scale.