Senior AI Forward Deployed Engineer

Vibehackers; Chennai District; Presencial; INR 3.000.000 - 5.400.000; Jornada completa

Descripción de la vacante

Vibehackers is seeking a senior engineer embedded with operational business teams to design, deliver, and productionize LLM and agentic AI systems. You will turn prototypes into secure, governed production services and build reusable accelerators to speed future work.

You will own security, data governance, evaluation pipelines, and handover to operations, mentoring cross-functional squads and establishing CI/CD, MLOps foundations, model registries, and monitoring.

Formación

• 6–10 years building software with hands-on production AI delivery.
• Hands-on production LLMs and agentic AI including RAG, orchestration, and multi-step workflows.
• Strong Python and MLOps skills (CI/CD, model registries, monitoring).
• Experience in AI evaluation and cost optimization (groundedness, testing, routing, caching).
• Ability to work with non-technical stakeholders to drive end-to-end delivery.

Responsabilidades

• Embed with operational teams to scope, build, and ship AI solutions.
• Take LLM and agentic systems from prototype to production with security and governance.
• Build reusable accelerators: prompts, templates, reference architectures, internal libraries.
• Establish MLOps/AIOps foundations: CI/CD for models and agents, model registries, evaluation pipelines, monitoring, and versioning.
• Lead cross-functional squads and set engineering standards.

Conocimientos

MLOps

AIOps

Prompt engineering

Cross-functional leadership

Stakeholder communication

Security & data governance

CI/CD

Monitoring & observability

Documentation

Project delivery

Cost optimization

AI evaluation

Descripción del empleo

Explicitly requires vibe coding skills—building production LLMs and agent workflows, creating prompt/agent templates, and establishing MLOps foundations.

About the Role

Work embedded with operational business teams to scope, build, and ship production LLM and agentic AI systems, operationalize them with MLOps/AIOps practices, and create reusable accelerators and templates to speed future projects. Lead cross-functional squads, own security, data governance, evaluation, and the handover to operations.

Job Description

Role

Senior engineer embedded with operational business teams to design, deliver, and productionize LLM and agentic AI systems. The role focuses on turning prototypes into secure, governed, monitored production services and building reusable accelerators (prompts, agent templates, reference architectures, internal libraries) to speed future work.

Key Responsibilities

• Embed with operational teams to scope, build, and ship AI solutions for live business problems.
• Take LLM and agentic systems from prototype to production, owning security, data governance, and operational handover.
• Build reusable accelerators including prompt and agent templates, reference architectures, and internal libraries.
• Establish MLOps/AIOps foundations: CI/CD for models and agents, model registries, evaluation pipelines, monitoring, and versioning.
• Lead cross-functional squads without formal authority and set engineering, documentation, and responsible-AI standards.

Requirements

Must have

• 6–10 years building software with recent hands-on delivery of production AI.
• Practical experience with production LLMs and agentic AI, including RAG, orchestration, and multi-step agent workflows.
• Strong Python and MLOps skills (CI/CD, model registries, monitoring, evaluation pipelines).
• Experience in AI evaluation and cost optimization: groundedness/hallucination detection, A/B and regression testing, model routing, and caching.
• Ability to work with non-technical stakeholders to identify real problems and drive delivery end to end with minimal direction.

Nice to have

• Experience in ports, logistics, free zone, or freight operations (TOS, gate and yard, customs documentation).
• GCC or multi-country regional experience and Arabic language skills.
• Platform engineering or internal developer tooling experience.
• AI/ML, cloud, or MLOps certifications.

Python LLM RAG Agentic AI Multi-step agent workflows Orchestration CI/CD Model registries Monitoring Evaluation pipelines A/B testing Regression testing Model routing Caching Prompt templates Agent templates

Skills

MLOps AIOps AI evaluation Cost optimization Prompt engineering Cross-functional leadership Stakeholder communication Security and data governance CI/CD Monitoring and observability Documentation Project delivery