Full Stack AI Lead Developer

Jabil; Maharashtra; Presencial; INR 2.500.000 - 4.200.000; Jornada completa

Descripción de la vacante

Jabil in Maharashtra, India, seeks a Senior AI Software Engineer to lead end-to-end AI application development, integrating LLMs and building scalable Python backends.

You will work with PostgreSQL databases, Docker, Kubernetes, AWS, and real-time dashboards, while mentoring peers and presenting live demos to stakeholders.

Formación

• Advanced Python development and cloud infrastructure.
• Experience with AWS and Linux in enterprise environments.
• Knowledge of relational databases and SQL optimization.
• Familiarity with containerization and orchestration tools.

Responsabilidades

• End-to-End AI application development: design, build, deploy AI apps.
• AI model integration with LLMs, pipelines, vector stores, RAG architectures.
• Database architecture and SQL optimization (PostgreSQL preferred).
• Backend engineering with async Python, RESTful APIs, data pipelines.

Conocimientos

Python

AWS

Linux

PostgreSQL

Docker

Kubernetes

RESTful APIs

SQL

LLMs

RAG

Herramientas

Docker

Kubernetes

Descripción del empleo

Job Responsibilities

• End-to-End AI Application Development: Design, build, and deploy full-stack artificial intelligence applications from the ground up, seamlessly connecting robust backend AI services with responsive, user-friendly frontends.


• AI Model Integration & Orchestration: Integrate Large Language Models (LLMs), local model pipelines, vector databases, and multi-agent orchestration frameworks (such as RAG architectures) into production-ready software systems.


• Database Architecture & Performance Optimization: Architect, query, and optimize complex relational databases (PostgreSQL preferred), writing advanced SQL queries, multi-table joins, cursors, and stored procedures to guarantee high-performance data retrieval and storage.


• Backend Engineering & APIs: Develop high-performance, asynchronous backend services, RESTful APIs, and data ingestion pipelines primarily using Python to handle real-time data streaming and complex business logic.


• UI/UX & Dashboard Development: Build intuitive, responsive user interfaces and real-time operational dashboards using modern web frameworks to enable seamless human-AI interaction and telemetry visualization.


• Containerization & DevOps: Package applications using Docker and manage deployment, scaling, and cluster coordination using Kubernetes to ensure enterprise-grade reliability and fault tolerance.


• Cloud & Infrastructure Management: Provision, configure, and optimize cloud resources (primarily AWS) and high-performance computing environments (including GPU clusters) to support heavy AI workloads.


• Linux System Operations: Operate effectively within Linux environments, utilizing advanced shell utilities, system monitoring, and performance tuning for backend stability.


• Team Mentorship & Onboarding: Actively mentor, train, and guide junior developers and team members under your purview, rapidly bringing them up to speed on technical frameworks, coding standards, and best practices.


• Stakeholder Communication & Live Demos: Communicate effectively with diverse internal and external stakeholders, translating complex technical concepts into clear business value, and confidently conduct live, end-to-end software and AI application demonstrations.


• Quality & Continuous Improvement: Apply a quality-first mindset (incorporating principles like Lean Six Sigma where applicable) to debug issues, optimize system latency, automate testing, and ensure high reliability.


• Technology Exploration & Innovation: Stay on the cutting edge of AI advancements, rapidly evaluating, prototyping, and integrating emerging open-source tools, frameworks, and model updates into the enterprise stack.
  

Desired Criteria :

• Core Technical Stack: Advanced Python development, AWS cloud infrastructure, and enterprise Linux administration.


• DevOps & Deployment: Expertise in containerization (Docker) and orchestration (Kubernetes) for large-scale enterprise deployments.


• AI & Innovation: Proven ability to build and deploy modern AI solutions (Multi-agent systems, RAG) and a passion for quickly adopting emerging technologies.


• Quality & Process: A background in Lean Six Sigma and other quality tools to ensure operational excellence and high-reliability software.