Senior AI Engineer

Lincoln Motor Company; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Lincoln Motor Company is hiring an AI/ML Engineer to drive end-to-end AI solutions from concept to production. You will build backend services with Python frameworks (FastAPI/Flask/Django) and frontend with React, JavaScript, and TypeScript.

You will productionize AI models on cloud platforms (AWS/Azure/GCP), establish MLOps pipelines, and ensure observability with logs and metrics while collaborating across product, data science, and software teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, Software Engineering, or related field.
• Experience developing and deploying ML/AI-powered applications.
• Strong programming experience in Python.
• Experience building production APIs and backend services using FastAPI, Flask, Django, or similar frameworks.

Responsibilities

• Design, build, and deploy AI/ML-powered applications from concept through production.
• Build scalable backend services and APIs using Python and frameworks such as FastAPI, Flask, or Django.
• Develop responsive frontend applications using React, JavaScript, and TypeScript.
• Design scalable software architecture and reusable components for AI and non-AI apps.
• Productionize and deploy AI models and inference services on AWS, Azure, or GCP.
• Build and maintain MLOps and CI/CD pipelines for code, models, prompts, and evaluation assets.
• Implement observability using logs, metrics, traces, dashboards, and alerts.
• Define and monitor SLAs for latency, availability, accuracy, error rate, and cost.
• Collaborate with product managers, data scientists, and engineers to translate business needs into AI quality goals.

Skills

Python programming

AI/ML engineering

CI/CD pipelines

Observability

Cloud architectures

Frontend development

Team mentoring

Software architecture

MLOps

Education

Bachelor’s or Master’s in CS/AI/ML/SE

Tools

FastAPI

Flask

Django

React

JavaScript

TypeScript

AWS

Azure

GCP

Job description

As an AI/ML Engineer, you will work across the full software development lifecycle—from exploring emerging AI technologies and building prototypes to designing scalable architectures and deploying production-grade applications.

You will develop LLM-powered features, including retrieval-augmented generation (RAG), agentic workflows, prompt orchestration, and model evaluation frameworks. You will also contribute to frontend and backend applications using React and Python, while leveraging cloud platforms to build secure, scalable, and observable systems.

The ideal candidate is both an AI practitioner and a hands-on software engineer who can rapidly transform business problems into practical solutions using modern AI tools, robust design patterns, and engineering best practices.

• Design, build, and deploy AI/ML-powered applications from concept through production.
• Build scalable backend services and APIs using Python and frameworks such as FastAPI, Flask, or Django.
• Develop responsive and user-friendly frontend applications using React, JavaScript, and TypeScript.
• Design scalable software architecture, reusable components, and appropriate design patterns for AI and non-AI applications.
• Productionize and deploy AI models and inference services using cloud platforms such as AWS, Azure, or GCP.
• Build and maintain MLOps and CI/CD pipelines for application code, models, prompts, and evaluation assets.
• Implement observability using logs, metrics, traces, dashboards, and alerts.
• Define and monitor service-level objectives for latency, availability, accuracy, error rate, and cost.
• Use AI-assisted software development tools to accelerate coding, testing, documentation, and prototyping while maintaining engineering quality.
• Collaborate with product managers, domain experts, data scientists, and software engineers to convert business needs into measurable AI quality goals.
• Participate in architecture reviews, technical design discussions, and production readiness assessments.
• Mentor engineers on AI/ML engineering practices, software architecture, testing, and responsible use of AI tools.
• Stay current with advancements in generative AI, machine learning, cloud technologies, and software engineering practices.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• Experience developing and deploying machine learning or AI-powered applications.
• Strong programming experience in Python.
• Experience building production APIs and backend services using FastAPI, Flask, Django, or similar frameworks.