AI/ML Engineer (Computer Vision + LLM + Async Backend)

Job Description

We are hiring a highly skilled AI/ML Engineer with hands-on experience in Computer Vision, Object Detection, LLM-based systems, vector databases, and async backend development.
Ideal candidate will build production-ready AI pipelines, optimize models, integrate APIs, and deploy scalable systems.

Key Responsibilities

• Develop and optimize Computer Vision pipelines using OpenCV/cv2 and YOLO.
• Train, fine-tune and integrate object detection models, embeddings, and custom datasets.
• Build async backend services using FastAPI (must be async-first) and integrate ML/DL models.
• Implement vector search pipelines using pgvector, Qdrant, or FAISS.
• Build RAG pipelines using LangChain, LangGraph, or other LLM frameworks.
• Work with open-source LLMs (Hugging Face, Ollama, vLLM).
• Use async clients like HTTPX to integrate external APIs efficiently.
• Build microservices, deploy models, and containerize applications using Docker.
• Handle data pipelines, model serving, embeddings, and hybrid search workflows.
• Collaborate with team on architecture, debugging, optimization, and deployment.

Required Skills & TechnologiesAI / ML / CV

• OpenCV / cv2
• YOLO (v5/v7/v8/v11)
• PyTorch / TensorFlow
• Object Detection / Fine-tuning
• Image preprocessing & augmentation

Backend & Async Development

• FastAPI (async architecture)
• Asynchronous programming
• Threading, multiprocessing, parallelism
• Socket programming
• HTTPX (async client)

LLM / RAG / GenAI

• LangChain / LangGraph
• Hugging Face models
• LLaMA / Mistral / open-source LLMs
• RAG pipeline development
• Embeddings and vector search
• vLLM, Ollama (optional but preferred)

Vector Databases

• pgvector
• Qdrant
• Hybrid search (keyword + vector)

DevOps & Tools

• Docker
• Git / GitHub
• Linux environment
• API development & integrations
• PostgreSQL

Nice to Have

• Experience with model optimization & quantization
• Video analytics pipelines
• Hands-on with WebSockets / streaming
• Deployment on cloud (AWS, GCP, Azure)

Candidate Must Have

• 1–2 years practical experience (not just coursework)
• GitHub or portfolio with CV/LLM projects
• Strong understanding of production-level AI systems
• Ability to work independently and deliver results fast

Job Type: Full-time

Pay: Rs80,000.00 - Rs110,000.00 per month

Experience:

• YOLO + OpenCV (Computer Vision) : 1 year (Preferred)
• LLM / RAG (LangChain or LangGraph): 1 year (Preferred)
• pgvector or Qdrant (Vector Search): 1 year (Preferred)
• AI/ML engineering: 1 year (Preferred)

Work Location: In person