AI & Automation Engineer

Tosoft It Solutions; Palakkad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tosoft It Solutions in India is seeking a software professional to build AI features and workflow automation that solve real business problems. You will connect language models to data and tools, evaluate accuracy, privacy and costs, and optimise latency and reliability.

Responsibilities include developing AI assistants, document-search features, building retrieval pipelines and integrating model APIs, with a focus on robust testing, debugging and clear problem statements.

Qualifications

• Practical Python or TypeScript development and API integration experience.
• Hands-on AI projects with clear explanations of the problem, approach and results.
• Understanding of retrieval, embeddings, prompt design and model evaluation.
• Strong debugging and testing skills; experience with background jobs or automation platforms is useful.

Responsibilities

• Develop AI assistants, document-search features and business workflow automation.
• Build retrieval pipelines, integrate model APIs and connect approved business tools.
• Create evaluation datasets and test output quality, failure cases and safe fallbacks.
• Monitor latency, cost and reliability, with attention to privacy and access controls.

Skills

Python

TypeScript

API integration

Testing & debugging

Job description

Build AI features and workflow automation that solve real business problems. Connect language models to useful data and tools, and evaluate accuracy, reliability, privacy and operating costs.

What Youll Do

• Develop AI assistants, document-search features and business workflow automation.
• Build retrieval pipelines, integrate model APIs and connect approved business tools.
• Create evaluation datasets and test output quality, failure cases and safe fallbacks.
• Monitor latency, cost and reliability, with attention to privacy and access controls.

What You Bring

• Practical Python or TypeScript development and API integration experience.
• Hands-on AI projects with clear explanations of the problem, approach and results.
• Understanding of retrieval, embeddings, prompt design and model evaluation.
• Strong debugging and testing skills; experience with background jobs or automation platforms is useful.