AI Applications Intern

About ESS ENN Associates

At ESS ENN Associates, we build hardware, software, and AI platforms that operate seamlessly across edge and cloud environments. Our engineering scope ranges from custom computer vision pipelines and multi-agent orchestration to low-latency desktop software, custom Flask backends, web utilities, and cloud infrastructure. We engineer real-world, high-reliability products that solve hard problems.

About the Role

We are seeking an AI Developer / Engineer Intern who thrives at the intersection of deep technical problem-solving, rapid prototyping, and system architecture. You are an agile system builder who can jump from Python backend microservices to edge video processing, craft clean APIs, troubleshoot continuous hardware/software integration issues, and quickly master whatever framework the problem requires.

Key Responsibilities

AI Engineering & Pipeline Development

• Design, build, and optimize custom AI pipelines, combining RAG architectures, LLM orchestration, and local multi-agent frameworks.
• Implement intelligent computer vision and OCR solutions using hybrid architectures (balancing fast cloud AI models with robust local, offline fallbacks).

Full-Stack & System Integration

• Develop clean, decoupled synchronous and asynchronous backend services (Flask/Python, WebSockets) for real-time applications.
• Engineer low-latency software interfaces that interact cleanly with hardware devices, IP cameras, edge servers, or custom databases.
• Write performant client-server modules that handle bandwidth constraints (e.g., dynamic frame rate downscaling, edge video buffering).

Productionization & Rapid Execution

• Take concepts from technical brief to working production utility—designing schemas, APIs, and UI layers rapidly.
• Ensure strict systems safety, access control compliance, and device security across edge-to-cloud networks.
• Work across multi-disciplinary disciplines to deploy, test, and maintain robust production code.

Requirements & Tech Stack

Core Mindset

• Polymath Capability: A fast, multi-disciplinary learner who picks up new tech stacks, languages, and hardware interfaces in days, not months.
• First-Principles Thinking: Ability to debug system bottlenecks at the transport, local device, or network level rather than relying solely on high-level abstractions.

Technical Skills

• Core Language: Strong proficiency in Python. Exposure to C++, Go, or Rust is a strong plus.
• Backend & Real-Time Frameworks: Flask, FastAPI, Node.js, WebSockets, or async event loops.
• AI & Vision Tools: OpenCV, PyTorch/TensorFlow, LangChain/LlamaIndex, local LLM tooling (Ollama, vLLM), Tesseract/PaddleOCR or cloud vision APIs.
• Systems & Data: Linux environments, Docker, REST/JSON APIs, SQLite/PostgreSQL, Redis.
• Hardware/Edge Awareness (Plus): Basic understanding of IP video streams (RTSP/WebRTC), serial port/indicator data, or IoT integration.

Internship Structure & Conversion Path

• Duration: 3 to 6 Months (On-site internship phase in Chandigarh).
• Evaluation: Hands-on product delivery within real project modules.
• Full-Time Track (PPO): Successful interns who demonstrate high execution speed, architectural clarity, and problem-ownership will transition directly into a full-time AI Systems Engineer / Software Engineer role.