AI Engineer

Lincoln Motor Company; Chennai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Lincoln Motor Company is seeking a creative and driven Full-Stack Software Engineer to design, build, and deploy robust AI-powered applications on Google Cloud Platform. You will contribute to architectural decisions and product strategy across the full stack, with a focus on Generative AI and scalable cloud-native solutions.

The role requires 3+ years in AI/ML engineering or software development, strong Python, experience with ML libraries, and hands-on knowledge of LangChain, Vertex AI, and

Qualifications

• Bachelor’s Degree in CS, Data Science, Statistics or related field.
• 3+ years of AI/ML or software engineering with model deployment focus.
• Strong ML theory with libraries like scikit-learn, XGBoost, PyTorch or TensorFlow.
• Hands-on with GenAI stack and orchestration frameworks (LangChain, LlamaIndex, AutoGen).
• GCP proficiency with Vertex AI, BigQuery and Cloud Run.
• Proficiency in Python and API design, Git, and unit testing.
• Experience with IaC (e.g., Terraform) and cloud-native CI/CD (Tekton or similar).
• Production-grade AI agents or models with monitoring in production.
• Excellent communication and collaborative mindset.

Responsibilities

• Design, train, and deploy AI/ML solutions including Generative AI workflows.
• Develop and productionalize AI agents capable of multi-step reasoning and external API integration.
• Architect and build production-ready code to expose AI/ML models via RESTful APIs and microservices.
• Build scalable data and ML pipelines for training, deployment, and versioning.
• Implement model monitoring and governance frameworks for production reliability.
• Leverage GCP services to host and scale AI apps in serverless or containerized environments.
• Collaborate in an Agile framework with Product Managers and engineers to deliver business value.

Skills

AI/ML engineering

Python

REST APIs

GCP

Unit testing

Git

Agile

Communication

Cloud-native

Education

Bachelor's degree in Computer Science

Tools

LangChain

LlamaIndex

AutoGen

TensorFlow

PyTorch

BigQuery

Vertex AI

Terraform

Cloud Run

Job description

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
We are seeking a creative and driven Full-Stack Software Engineer to join our innovative team. You will be instrumental in designing, building, and deploying robust, scalable, and intuitive applications that leverage Generative AI and cloud-native technologies on the Google Cloud Platform (GCP).
This is a role where you will tackle exciting challenges across the entire stack. You won't just be writing code; you will be a key contributor to architectural decisions, product strategy, and the overall technical direction of our AI-powered initiatives.

• AI & ML Development: Design, train, and deploy a variety of AI solutions, including classical machine learning models (classification, regression, clustering) and advanced Generative AI workflows.
• Agentic Systems: Develop and productionalize AI agents capable of multi-step reasoning, tool-use, and integration with external APIs.
• Software Integration: Architect and build production-ready code to integrate AI/ML models into user-facing applications via RESTful APIs and microservices.
• Pipeline Engineering: Build and maintain scalable data and ML pipelines to automate model training, deployment, and versioning.
• MLOps & Governance: Implement model monitoring and governance frameworks to track performance, drift, and reliability in production.
• Cloud Engineering: Utilize GCP services to build, host, and scale AI applications in a serverless or containerized environment.
• Collaboration: Work within an Agile framework, collaborating closely with Product Managers and other engineers to deliver business value for our commercial customers.
  

Required Skills & Experience

• Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field.
• Experience: 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment.
• Core ML Knowledge: Strong foundation in machine learning theory and practical experience with libraries such as scikit-learn, XGBoost, or PyTorch/TensorFlow.
• GenAI Stack: Hands-on experience with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex, or AutoGen).
• GCP Proficiency: Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run.
• Software Engineering: Proficiency in Python and a solid understanding of software best practices, including API design, Git version control, and unit testing.
• Preferred Requirements:
• Infrastructure as Code (IaC): Experience with Terraform for provisioning and managing cloud infrastructure.
• CI/CD Pipelines: Experience with Tekton or similar cloud-native CI/CD frameworks for automating ML workflows.
• Production Experience: Proven track record of taking an AI agent or ML model from a prototype to a stable, monitored production environment.
• Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical partners.
• Attitude: A strong desire for continuous learning and upskilling in the rapidly evolving AI landscape.