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Platform Software Engineer

Ford Motor Company -
Chennai, Tamil Nadu

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Job details

Qualifications

CI/CD
Law
React
Full-stack development
System design
Git
Java
Master's degree
Databases
SQL
Docker
PostgreSQL
Terraform
Continuous integration
SDKs
Angular
GitHub
APIs
Metadata
Clustering
AI
TypeScript
Python
Debugging
Design patterns

Full job description

Job ID

64056

Category

Global Data Insight & Analytics

Location

Chennai, India

Work Type

Hybrid

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.

1. 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)

2. Hands-On Engineering & Execution

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

3. Full Stack Development

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

4. Semantic Search & Embeddings

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

5. Engineering Excellence

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 — be the go-to person for complex implementation challenges

6. Collaboration

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

What We're Looking For

5+ 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

Technology Stack

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

Nice to Have

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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senior java react developer jobs in tn

Platform Software Engineer

Senior AI Engineer

Web Developer

Software Engineering Manager - Java Full Stack

iOS Developer (with Flutter)

Senior AEM Engineer

Senior Engineer - Product and Platform Engineering

Pega Architect Vice President

Lead Technical Consultant (Product - Development & Engineering)

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