Platform Software Engineer
Ford Motor Company (company site, opens in a new tab)6+ yrsChennaiHybridDirect career pageEst. 25–45 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Ford Motor Company
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Ford Motor Company you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect and implement scalable multi-agent AI systems focused on natural language data discovery and query generation within an AI-first analytics platform.
- Write production-grade code across backend, frontend, and AI components with end-to-end feature ownership, including NL-to-SQL generation, semantic search, and data access services.
- Set and enforce engineering quality standards through code reviews, debugging, root cause analysis, and technical leadership within the team.
Minimum Requirements
- 6+ years of professional software engineering experience with strong coding skills.
- Experience building AI-powered applications or working with LLM-based systems in production.
- Proficiency in Python and familiarity with relevant technologies: FastAPI, Angular/React, Google Cloud Platform (BigQuery, Vertex AI), and AI/ML frameworks (LangChain, OpenAI APIs).
- Work Experience Required: 6+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong individual contributor capable of operating at both architectural and implementation depth in AI-driven full-stack development.
- Proven track record delivering complex AI features end-to-end, handling ambiguous requirements with robust problem solving and debugging skills.
- Experience with agent frameworks and vector-based semantic retrieval, preferably with Google ADK or similar, and familiarity with data governance concepts.