Senior AI Engineer - Agentic AI/Python, SQL, Generative AI, LLM, RAG

Jero Technologies; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Jero Technologies is seeking an experienced software engineer with 8+ years of experience, including at least 2 years building and maintaining production AI systems. You will deploy AI features for real users, iterate with production feedback, and drive measurable improvements.

Required skills include Python, SQL, Generative AI, LLMs, distributed systems, vector search, and cloud deployment with AWS, Docker, and CI/CD. Strong communication and stakeholder management skills are essential.

Qualifications

• 8+ years of professional software engineering experience.
• Experience building and maintaining production AI systems.
• Experience launching AI features for real users and improving them using production feedback.

Responsibilities

• Will design, build and scale AI features for real users with measurable metrics.

Skills

Python

SQL

Generative AI

LLMs

RAG

Prompt engineering

Agentic AI

Distributed systems

Event-driven architecture

Asynchronous processing

Streaming

Vector search

Hybrid retrieval

Reranking

Retrieval quality evaluation

LLM evaluation frameworks

Test datasets

Regression suites

Model selection

AI guardrails

Security controls

Auditability

AWS

Docker

CI/CD

Cloud deployment

Problem-solving

Independent execution

Communication

Stakeholder management

Education

Bachelor's degree in Computer Science or Engineering

Job description

Job Summary

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.

Requirements

• 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.