Gen AI / Python AI Engineer

Alike Thoughts; Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Alike Thoughts is seeking a Gen AI / Python AI Engineer to design, develop, and deploy Generative AI solutions using Python. You will translate AI research into production-ready services and collaborate across teams to deliver scalable ML-driven applications.

The ideal candidate has hands-on experience with Generative AI, LLMs, model deployment, and API development (FastAPI/REST). This role emphasizes performance, reliability, and cost-efficient AI systems in production.

Qualifications

• Strong programming experience in Python.
• Hands-on experience with Generative AI / LLMs.
• Good understanding of AI/ML concepts and model development.
• Experience with machine learning/deep learning frameworks.
• Understanding of model deployment and integration.
• Experience building AI-powered applications and APIs.
• Knowledge of REST APIs, FastAPI/Flask, or similar frameworks.
• Understanding of production AI systems and scalable architectures.
• Good problem-solving and analytical skills.

Responsibilities

• Design, develop, and deploy Generative AI solutions using Python.
• Develop and integrate AI/ML models into applications and production systems.
• Work on model development, training, fine-tuning, optimization, and evaluation.
• Build scalable and reliable Python-based AI applications and services.
• Integrate LLMs and Generative AI models with business applications.
• Develop APIs and services for AI/ML model integration.
• Work with teams to deliver end-to-end AI solutions, from development to production deployment.
• Optimize AI applications for performance, scalability, latency, and cost.
• Troubleshoot and improve AI/ML systems in production.
• Follow best practices for code quality, testing, deployment, monitoring, and reliability.

Skills

Python

Generative AI

LLMs

API development

REST APIs

Docker

Cloud deployment

Performance optimization

Troubleshooting

Problem-solving

Tools

FastAPI

Flask

Docker

Model deployment

Job description

Gen AI / Python AI Engineer

We are looking for a skilled Gen AI / Python AI Engineer with strong experience in developing, implementing, and deploying AI-driven solutions. The candidate will be responsible for working with Generative AI technologies, Python-based AI applications, machine learning models, and scalable AI/ML systems. The ideal candidate should have hands-on experience in developing AI solutions and integrating AI models into production environments while ensuring performance, scalability, reliability, and maintainability.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions using Python.
• Develop and integrate AI/ML models into applications and production systems.
• Work on model development, training, fine-tuning, optimization, and evaluation.
• Build scalable and reliable Python-based AI applications and services.
• Integrate LLMs and Generative AI models with business applications.
• Develop APIs and services for AI/ML model integration.
• Work with teams to deliver end-to-end AI solutions, from development to production deployment.
• Optimize AI applications for performance, scalability, latency, and cost.
• Troubleshoot and improve AI/ML systems in production.
• Follow best practices for code quality, testing, deployment, monitoring, and reliability.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI / LLMs.
• Good understanding of AI/ML concepts and model development.
• Experience with machine learning/deep learning frameworks.
• Understanding of model deployment and integration.
• Experience building AI-powered applications and APIs.
• Knowledge of REST APIs, FastAPI/Flask, or similar frameworks.
• Understanding of production AI systems and scalable architectures.
• Good problem-solving and analytical skills.

Preferred GenAI Skills

• Large Language Models (LLMs)
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Embeddings
• Vector databases
• LangChain / LlamaIndex
• OpenAI or other LLM APIs
• Fine-tuning / model customization
• AI agents and tool/function calling
• LLM evaluation and monitoring

Deployment & Production

• API development
• Docker/containerization
• Cloud deployment
• Model serving
• Logging and monitoring
• Performance optimization
• Scalability
• Security
• CI/CD basics

Overall Requirement

The main expectation is that the candidate should be able to develop a Generative AI solution using Python, integrate it into an application, and deploy it as a reliable production-ready service. Interview focus: Based on this JD, I would prepare especially for Python + GenAI/LLM + RAG + ML fundamentals + API development + deployment, with practical project-based questions.