CHENNAI · FULLTIME
Platform Software Engineer
Ford Motor india pvt limited
Chennai · onsite · Posted 49d ago
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Undisclosed6–11 yrsfulltimeChennai
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Section · 01
About this role
We are looking for a hands-on Tech Anchor / Senior Software Engineer to drive the design and implementation of core AI capabilities within our Intelligent Data Analytics Platform (Lightspeed), spanning multi-agent orchestration, natural language-to-SQL generation, and semantic data discovery. This role is for a strong individual contributor who can operate at both architectural and implementation depth, someone who anchors the team technically by writing production-grade code, solving the hardest problems, and setting engineering standards through example.
You will be a key contributor to an AI-first platform that enables users to explore, query, and analyze enterprise BigQuery data through natural language reliably, accurately, and at scale.
Responsibilities Architecture & System Design - Contribute to the design of scalable, multi-agent AI architectures for data discovery and query generation.
- Design components and modules across agent orchestration, tool systems, and LLM integration.
- Evaluate trade-offs across design choices (e.g., single vs multi-agent, RAG vs fine-tuning, deterministic vs probabilistic pipelines).
- Participate in design reviews and contribute to architecture decision records (ADRs).
- Write production-grade code across agent frameworks, backend APIs, and frontend interfaces daily.
- Build and evolve reusable AI components (agent tools, embedding pipelines, evaluation frameworks).
- Implement LLM-powered workflows including NL-to-SQL generation, semantic search, and metadata enrichment.
- Develop services enabling intelligent data access (vector search, hybrid retrieval, query scope management).
- Implement guardrails, validation layers, and observability for AI-generated outputs.
- Build performant backend services (Python/FastAPI) and interactive frontends (Angular/React) for data exploration.
- Develop both conversational (chat) and structured (API) interfaces for analytics.
- Build evaluation and benchmarking tooling for continuous AI quality measurement.
- Own features end-to-end from design through deployment and monitoring.
- Implement vector embedding pipelines for metadata discovery (pgvector).
- Build semantic retrieval across datasets, tables, and columns with hybrid search strategies.
- Optimize search relevance through embedding strategies, re-ranking, and evaluation metrics.
- Contribute to data quality and governance capabilities within the platform.
- Write clean, maintainable, and scalable code following best practices (SOLID, DRY, design patterns).
- Actively participate in code reviews and set quality standards through your own contributions.
- Perform root cause analysis on agent failures and implement systematic fixes.
- Anchor the team technically as the go-to person for complex implementation challenges.
- Partner with Product, Data Engineering, and Platform teams on feature delivery.
- Support teammates through pair programming, knowledge sharing, and technical guidance.
- Contribute to sprint planning, estimation, and technical feasibility assessments.
- Help onboard new team members and share domain expertise.
- 6+ years of professional software engineering with strong hands-on coding ability.
- Experience building AI-powered applications or working with LLM-based systems in production.
- Ability to take ambiguous requirements and deliver working, tested software independently.
- Strong debugging and problem-solving skills across the full stack.
- Track record of owning and delivering complex features end-to-end.
- Programming: Python (primary), Java, TypeScript, Angular/React
- AI/ML: Google ADK, LangChain/LangGraph, OpenAI/Gemini APIs, prompt engineering, RAG pipelines
- Data & Cloud: GCP (BigQuery, Vertex AI, Cloud Run preferred)
- Backend: FastAPI, Pydantic, SQLModel/SQLAlchemy, PostgreSQL (pgvector)
- Frontend: Angular or React, TypeScript
- CI/CD & Infra: Terraform, GitHub Actions, Docker
- Evaluation: Custom eval frameworks, LLM-as-judge patterns
- Tools: Git, Alembic
- Experience with Google Agent Development Kit (ADK) or similar agent frameworks (AutoGen, CrewAI, LangGraph).
- Exposure to NL-to-SQL or text-to-code generation systems.
- Knowledge of ML fundamentals embeddings, classification, clustering, evaluation metrics.
- Experience with vector databases and semantic retrieval optimization.
- Familiarity with data governance (metadata management, lineage, data quality).
- Experience building developer tooling or platform SDKs.
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Section · 02
Skills
data qualityDesign PatternsDockerCrewaiapisclusteringclassificationAlembicbigqueryEmbeddingsAnalyticsGoogle Cloud RunData AnalyticsdebuggingdeploymentData EngineeringcloudArchitectureData GovernanceAngularjsArtificial Intelligence
Section · Company
About Ford Motor
Ford Motor india pvt limited
Automobile
14k+
employees
1903
123 years old
Chennai, Tamil Nadu
India
₹15L PA avg
Avg at Ford Motor
About
Since 1903, Ford Motor has helped to build a better world for the people and communities that they serve.
Industries
AutomobileManufacturing
Employee ratings
10 reviews
4.2/ 5
Culture
3.6
Career growth
2.9
Work-life
3.7
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