AI/ML Engineer

Aimlroles; Dadri; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Aimlroles is seeking an AI developer to build production-ready AI applications using Python and FastAPI, and to design end-to-end LLM pipelines with data ingestion, inference, and response generation.

You will leverage GCP tools such as Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage, and implement vector stores and RAG for semantic search. Strong prompt engineering and orchestration skills are required.

Qualifications

• 2+ years of experience developing AI solutions, especially with LLMs.
• Proficient in Python and FastAPI for API development.
• Hands-on experience with GCP services (Vertex AI, Cloud Run/Functions, etc.).
• Strong prompt engineering skills (e.g., CoT, few-shot, instruction tuning).
• Experience with vector databases and RAG systems.
• Familiarity with LLM orchestration frameworks.
• Solid understanding of software engineering fundamentals.
• Proficient with Git and CI/CD practices

Responsibilities

• Build production-ready AI applications using Python and FastAPI.
• Design LLM pipelines including data ingestion, inference, and response generation.
• Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
• Apply advanced prompt engineering techniques to enhance LLM outputs.
• Implement vector stores and embeddings for semantic search and RAG.
• Use orchestration frameworks for complex workflows.
• Integrate AI systems with enterprise platforms and maintain robust data flows.
• Follow best practices in coding, testing, and deployment within CI/CD pipelines.
• Continuously explore and recommend emerging tools and AI technologies.

Skills

Python

FastAPI

GCP Vertex AI

Prompt engineering

Vector databases

RAG systems

LLM orchestration

Git & CI/CD

Software engineering fundamentals

Education

Bachelors or Masters in Computer Science

Tools

LangChain

LangGraph

CrewAI

Job description

Responsibilities

• Build production-ready AI applications using Python and FastAPI.
• Design LLM pipelines including data ingestion, inference, and response generation.
• Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
• Apply advanced prompt engineering techniques to enhance LLM outputs.
• Implement vector stores and embeddings for semantic search and RAG.
• Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
• Integrate AI systems with enterprise platforms and maintain robust data flows.
• Follow best practices in coding, testing, and deployment within CI/CD pipelines.
• Continuously explore and recommend emerging tools and AI technologies.

Required Qualifications

• 2+ years of experience developing AI solutions, especially with LLMs.
• Proficient in Python and FastAPI for API development.
• Hands-on experience with GCP services (Vertex AI, Cloud Run/Functions, etc.).
• Strong prompt engineering skills (e.g., CoT, few-shot, instruction tuning).
• Experience with vector databases and RAG systems.
• Familiarity with LLM orchestration frameworks.
• Solid understanding of software engineering fundamentals.
• Proficient with Git and CI/CD practices

Preferred Qualifications

• Bachelors or Masters in Computer Science
• Experience with MLOps for model deployment and monitoring.
• Knowledge of distributed systems and data processing.
• Contributions to open-source projects or strong AI project portfolio.
• Strong communication skills and ability to explain technical concepts clearly.