AI Engineer

• *Department:** Artificial Intelligence / Engineering

• *Employment Type:** Full\-Time

• *Experience Required:** 3–6 Years

About the Role

We are seeking an experienced AI Solutions Architect / AI Engineer to lead the design, development, deployment, and optimization of advanced AI\-driven applications. The ideal candidate should possess strong expertise in Generative AI, Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), scalable backend systems, and production deployment.

Key Responsibilities

· Design and develop scalable AI/ML architectures for enterprise applications.

· Build and optimize LLM\-powered applications and RAG systems.

· Implement Agentic AI workflows and multi\-agent systems.

· Develop scalable REST APIs using FastAPI or similar frameworks.

· Manage vector databases such as ChromaDB, Pinecone, FAISS, or Weaviate.

· Deploy AI applications using Docker and cloud platforms like AWS, Azure, or GCP.

· Optimize AI model performance, latency, and retrieval accuracy.

· Collaborate with engineering and product teams to deliver production\-ready AI solutions.

Required Skills

· Strong proficiency in Python.

· Hands\-on experience with Generative AI and LLM applications.

· Experience with LangChain, LlamaIndex, or similar frameworks.

· Knowledge of FastAPI, REST APIs, and backend system design.

· Experience with PostgreSQL, MongoDB, and vector databases.

· Hands\-on experience with Docker, CI/CD, and cloud deployments.

· Strong problem\-solving and system architecture skills.

Preferred Skills

· Experience with OCR and document AI pipelines.

· Knowledge of fine\-tuning smaller LLMs.

· Experience with AI observability and monitoring tools.

Qualifications

· Bachelor’s degree in Computer Science, AI, Data Science, or related field.

· 3\+ years of experience in AI/ML.

· Experience delivering production\-grade AI applications.

Tech Stack

· Python

· FastAPI

· LangChain / LlamaIndex

· OpenAI / Claude / Hugging Face

· ChromaDB / Pinecone / FAISS

· PostgreSQL / MongoDB

· Docker / Kubernetes

· AWS / Azure / GCP

Pay: ₹30,000\.00 \- ₹40,000\.00 per month

Benefits

• Flexible schedule
• Health insurance
• Provident Fund

Work Location: In person