Jero Technologies
Senior AI Engineer | Agentic AI | Python, SQL, Generative AI
Senior AI engineer in Indore building and running production generative-AI systems — LLMs, RAG, and agentic architectures — using Python and SQL, with vector search, LLM evaluation, guardrails, and deployment on AWS with Docker and CI/CD.
- Compensation
- Not disclosed
- Location
- Indore
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 8+ years professional software engineering experience, including 2+ years building and maintaining production AI systems
- Experience launching AI features for real users and improving them via 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), Docker or similar containers, and CI/CD
- Strong problem-solving, independent execution, communication, and stakeholder management skills
- Bachelor's degree in Computer Science, Engineering, or another quantitative/technical discipline
Full 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.