Build and deploy AI/ML applications across the full software lifecycle, including LLM features, RAG, agentic workflows, APIs, frontend applications, cloud infrastructure, MLOps, CI/CD, observability, and model evaluation. The role requires Python backend development, React-based frontend work, scalable architecture, production readiness, cross-functional collaboration, and mentoring engineers on AI/ML engineering practices.
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.
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 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.
Similar Jobs at Ford Motor Company
Automotive
Own assigned automotive commodities end to end, including sourcing strategy, supplier negotiations, contract management, capacity increases, cost reduction, and supplier-base development. Lead cross-functional and global commodity initiatives, mitigate supplier risks, support program launches, and drive localization, lean manufacturing, and value engineering efforts. Mentor team members while delivering purchasing, tooling, and cost targets across regional and global programs.
Automotive
Designs, implements, integrates, supports, and enhances SAP SD, VMS, pricing, and billing processes in SAP S/4HANA. Handles production incidents, problem tickets, L2/L3 troubleshooting, functional specifications, testing, deployments, upgrades, and maintenance. Participates in Agile ceremonies, ensures security and controls, mentors junior team members, and serves as an SAP subject matter expert.
Top Skills:
AgileSAPSap BillingSap ErpSap S/4HanaSap SdSap Vms
Automotive
Develop and maintain automation workflows using RPA tools and programming languages. Analyze business processes, identify automation opportunities, test and debug bots, document solutions, monitor deployments, troubleshoot failures, support financial close and period management, manage technology refreshes, assist with feed transitions, and support audit requests and system stability.
Top Skills:
.NetAutomation AnywhereC#JavaMicrosoft Power AutomatePega RpaPythonUipath
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
