Artificial Intelligence Engineer

Company: Critical River

Website: Visit Website

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Series A

Industry: IT

Salary Range: ₹ 20-35 Lacs PA

Job Description

About CriticalRiver

CriticalRiver is a global digital technology consulting and engineering company, helping enterprises accelerate digital transformation with up to 80% faster speed-to-market and 30% lower TCO. With 500+ successful projects across industries like Hi-Tech, Finance, Utilities, Healthcare, and Manufacturing, we specialize in Salesforce, Cloud, ERP (Oracle/NetSuite), AI/ML, Data, and Product Engineering. Trusted by 170+ customers worldwide, we partner with leading platforms such as Salesforce, Oracle, Microsoft, and Snowflake, backed by CMMI Level 3 and ISO/SOC certifications.

Job Summary

We are looking for a talented and experienced Cloud & AI Engineer to join our team. The ideal candidate will have strong expertise in building scalable APIs using FastAPI, deploying and managing cloud infrastructure on AWS, and working with Large Language Models (LLMs). You will be responsible for designing and implementing AI-driven solutions, integrating LLMs into applications, and ensuring robust cloud deployments.

Key Responsibilities

• Develop and maintain RESTful APIs using FastAPI.
• Design and deploy scalable cloud infrastructure on AWS (EC2, Lambda, S3, ECR, etc.).
• Integrate and fine-tune LLMs (e.g., OpenAI, Hugging Face Transformers) for various use cases.
• Build and manage CI/CD pipelines for automated deployment and testing.
• Collaborate with data scientists and ML engineers to deploy AI models in production.
• Monitor and optimize performance of cloud-based applications and services.
• Ensure security, reliability, and scalability of cloud and AI systems.
• Document technical designs, processes, and best practices.
  
  

• 5–8 years of experience in software development and cloud engineering.
• Strong proficiency in Python and FastAPI framework.
• Hands-on experience with AWS services (EC2, S3, Lambda, ECR, IAM, etc.).
• Experience working with LLMs and NLP frameworks (e.g., Hugging Face, LangChain).
• Familiarity with containerization (Docker) and orchestration tools (Kubernetes is a plus).
• Knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.).
• Understanding of API security, rate limiting, and performance optimization.
  
  

• Experience with model fine-tuning and prompt engineering.
• Familiarity with vector databases (e.g., FAISS, Pinecone).
• AWS or AI-related certifications.
• Exposure to MLOps practices and tools.
• Strong problem-solving and communication skills.