Full Stack AI Lead Developer

Jabil; Angul; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Jabil in India is seeking a seasoned software engineer to design, build, and deploy full-stack AI applications, integrating LLMs and Python-based backends with responsive frontends.

You will work on databases (PostgreSQL), APIs, containerization with Docker and Kubernetes, AWS cloud resources, Linux operations, and mentor juniors while communicating with stakeholders.

Qualifications

• Hands-on experience with core stack: Python, AWS, and enterprise Linux administration.
• Expertise in containerization and orchestration for large-scale deployments (Docker, Kubernetes).
• Proven ability to build and deploy modern AI solutions (LLMs, multi-agent systems, RAG).
• Background in Lean Six Sigma or similar quality methodologies to ensure reliability.

Responsibilities

• End-to-End AI application development from design to deployment.
• AI model integration and orchestration within production systems.
• Database architecture and performance optimization (PostgreSQL).
• Backend engineering and APIs with Python for real-time data and logic.
• UI/UX and dashboard development for effective human-AI interaction.
• Containerization, DevOps, and cloud infrastructure management (AWS).
• Linux system operations and performance tuning.
• Mentorship and onboarding of junior developers.

Skills

Advanced Python development

AWS cloud infrastructure

Enterprise Linux administration

DevOps & deployment

AI & innovation

Lean Six Sigma

Tools

Docker

Kubernetes

PostgreSQL

RESTful APIs

Job description

Job Description:

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the worlds top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

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 :

We are looking for a candidate who combines deep technical expertise with a strong quality-first mindset. Specifically, the ideal candidate should have hands-on experience with:

• 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.

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Accessibility Accommodation

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