We are looking for a Python AI Engineer with a robust foundation in Python backend development and hands-on exposure to Generative AI.

The ideal candidate will have experience building APIs and backend services using Python, along with a good understanding of microservices, asynchronous programming, NoSQL databases, caching, and cloud environments.

You will work on AI-powered applications involving LLMs, RAG, embedding models, vector databases, and AI agents, while collaborating with senior engineers to build scalable and reliable solutions.

Title : Python AI Engineer

Location :Remote Work

Employment Type: Full-time

Exp Range : 1-4 years

Key Responsibilities

- Develop and maintain backend services and APIs using Python and FastAPI/Flask.
- Build clean, reusable, and maintainable code using Object-Oriented Programming principles.
- Develop and integrate microservices and REST APIs.
- Implement data validation and serialization using Pydantic.
- Develop and integrate Generative AI capabilities into applications.
- Work with LLMs, RAG pipelines, embedding models, vector databases, and AI agents/orchestration.
- Integrate LLMs and AI services through APIs and SDKs.
- Work with NoSQL databases for application and AI-related workloads.
- Implement Redis and caching mechanisms to improve application performance.
- Use Python's asynchronous programming capabilities for API calls, database operations, and LLM requests.
- Use Git for version control, branching, code reviews, and collaborative development.
- Work with GCP or AWS environments and assist with deployments, troubleshooting, log analysis, and application monitoring.
- Debug technical issues, identify root causes, and implement effective solutions.
- Collaborate with senior engineers and technical teams throughout the development lifecycle.




- Participate in code reviews and follow engineering best practices.

Qualifications:

- Strong programming skills in Python with a solid understanding of software development fundamentals.
- Hands-on experience developing APIs using FastAPI or Flask.
- Strong understanding of Object-Oriented Programming (OOP) and writing clean, maintainable, and reusable code.
- Experience with Pydantic or similar frameworks for data validation and serialization.
- Understanding of microservices architecture and REST API development.
- Strong problem-solving, debugging, and analytical skills.
- Hands-on exposure to Generative AI, including: Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , Embedding models, Vector databases ,LLM/API integrations, AI agents and orchestration
- Good understanding of Git and version control, including branching and collaborative development.
- Understanding of NoSQL databases and flexible-schema data modeling.
- Basic understanding of Redis and caching concepts.
- Understanding of asynchronous programming in Python, including async/await.
- Exposure to GCP or AWS, with a basic understanding of application deployment, troubleshooting, and logs.

Nice to Have:

- Experience with Docker and containerization.
- Exposure to CI/CD pipelines and automated build and deployment processes.
- Understanding of system design and scalable application architectures.
- Exposure to message queues and event-driven architectures, such as Kafka, RabbitMQ, or Google Pub/Sub.
- Understanding of API security, including authentication, authorization, JWT/OAuth, and secrets management.
- Exposure to LLM evaluation and optimization.
- Understanding of prompt optimization, latency optimization, token usage, cost optimization, and hallucination reduction.

📌 Python AI Engineer (Hyderabad)
🏢 Techolution
📍 Hyderabad