Python AI Engineer

Python AI Engineer

You will contribute to AI products helping transform user requirements into structured knowledge workflows, reusable AI agents, and chatbot capabilities.

The ideal candidate has a strong foundation in Python, Object-Oriented Programming, API development, and problem-solving, along with hands-on exposure to LLMs, RAG, embedding models, vector databases, and AI agent development.

Title : Python AI Engineer

Location :Remote Work

Employment Type: Full-time

Exp Range : 1-4 years

Key Responsibilities

• Python Backend Development:

  Develop, maintain, and optimize backend services and REST APIs using Python and FastAPI/Flask.

• Microservices Development:

  Build modular, reusable, and maintainable services using Object-Oriented Programming principles and established engineering standards.

• Data Modeling and Validation:

  Design data models, request/response schemas, and validation logic using Pydantic and appropriate database technologies.

• AI Agent Development:

  Build, customize, and integrate AI agents for different business use cases, following established engineering standards.

• RAG and Knowledge Retrieval:

  Develop and integrate Retrieval-Augmented Generation Workflows using LLMs, embedding models, and vector databases.

• Agent Orchestration:

  Support the integration and coordination of multiple agents and backend services where required.

• Database and Caching:

  Work with NoSQL databases, data modeling, and Redis or other caching mechanisms to support efficient application performance.

• Asynchronous Programming:

  Use Python asynchronous programming where appropriate for API calls, database operations, and LLM requests.

• Debugging and Optimization:

  Investigate application issues, analyze logs, identify root causes, and improve service reliability and performance.

• Cloud and Deployment Support:

  Work with GCP or AWS environments to assist with deployment troubleshooting, log analysis, and application monitoring.

Qualifications

• Strong programming skills in

  Python

  and a solid understanding of software development fundamentals.
• Hands-on experience developing backend applications and REST APIs using

  FastAPI or Flask

  .
• Strong understanding of

  Object-Oriented Programming (OOP)

  , modular design, and reusable components.
• Experience with

  Pydantic

  or similar frameworks for data validation and serialization.
• Understanding of

  microservices architecture

  and service-to-service communication.
• Strong problem-solving, analytical, and debugging skills.
• Practical exposure to Generative AI technologies, including

  LLMs, RAG, embedding models, vector databases, and LLM/API integrations

  .
• Basic hands-on exposure to

  AI agents and orchestration

  , with an understanding of how agents can be developed or adapted for specific use cases.
• Understanding of

  data modeling and NoSQL databases

  .
• Familiarity with

  Redis and caching

  concepts.
• Understanding of asynchronous programming in Python, including async/await.
• Good understanding of

  Git and version control

  .
• Exposure to

  GCP or AWS

  , including basic deployment troubleshooting and log analysis.

About Techolution:

Techolution is the world’s leading FEA – Full Enterprise Automation specialist. We are trusted by boards and executive leaders who need AI with real business outcomes. Despite Gen AI, LLMs, and billions in investment, most enterprise AI programs aren't delivering results.

Techolution fixes that with BPA 4.0. We take the power of big Tech’s Generic AI and multiply it with our Expert AI stack — resulting in business process automations that follow the same nuances as domain experts do on the job at an unprecedented speed.

Our platform has delivered over $900M in AI ROI for our clients in less than a year, all while increasing their AI Adoption by 10x.

Our 3 power moves for ROI from AI:

1. Value Finder -

2. 100K Challenge:

3. GE LEAP:

Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.