Senior AI Engineer | Agentic AI | Python, SQL, Generative AI

Jero Technologies

Indore District

On-site

INR 4,000,000 - 7,000,000

Full time

13 days ago

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Job summary

Jero Technologies is seeking a senior software engineer to design and scale production AI systems. You will leverage Python, SQL, and distributed architectures to deliver AI features for real users, measure impact, and iterate from production feedback.

The role emphasizes reliability, security, and governance in cloud deployments. Ideal candidates have 8+ years in software engineering, strong problem-solving, and proven stakeholder management.

Qualifications

  • 8+ years of professional software engineering experience, including at least 2 years building and maintaining production AI systems.
  • Experience launching AI features for real users and improving them using production feedback and measurable metrics.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, and agentic AI architectures.
  • Strong understanding of distributed systems, event-driven architecture, asynchronous processing, and streaming.
  • Experience with vector search, hybrid retrieval, reranking, and retrieval quality evaluation.
  • Knowledge of LLM evaluation frameworks, test datasets, regression suites, and model selection.
  • Experience implementing AI guardrails, security controls, and auditability.
  • Proficiency in cloud deployment, preferably AWS, along with Docker or similar container technologies and CI/CD.
  • Strong problem-solving, independent execution, communication, and stakeholder management skills.
  • Bachelor's degree in Computer Science, Engineering, or another quantitative or technical discipline.

Skills

Python
SQL
Distributed systems
Event-driven architecture
Asynchronous processing
Streaming
Problem solving
Communication
Stakeholder management
CI/CD
Docker

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Docker

Job description

Requirements
  • 8+ years of professional software engineering experience, including at least 2 years building and maintaining production AI systems.
  • Experience launching AI features for real users and improving them using production feedback and measurable metrics.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, and agentic AI architectures.
  • Strong understanding of distributed systems, event-driven architecture, asynchronous processing, and streaming.
  • Experience with vector search, hybrid retrieval, reranking, and retrieval quality evaluation.
  • Knowledge of LLM evaluation frameworks, test datasets, regression suites, and model selection.
  • Experience implementing AI guardrails, security controls, and auditability.
  • Proficiency in cloud deployment, preferably AWS, along with Docker or similar container technologies and CI/CD.
  • Strong problem-solving, independent execution, communication, and stakeholder management skills.
  • Bachelor's degree in Computer Science, Engineering, or another quantitative or technical discipline.
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