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Full Stack AI Tech Specialist

Actively Reviewing

Ford Motor Company

Chennai Full-Time 2–4 yrs exp Posted 1 month ago · Apply by Jul 18, 2026

Job Description

Job Description

What You’ll Do

Design and implement multi-agent AI systems using Google ADK, including agent orchestration, tool calling, memory, and reasoning workflows.
Build end-to-end conversational AI experiences spanning frontend, backend services, data platforms, and AI/ML components.
Develop reusable agent frameworks, APIs, and platform primitives that enable teams to rapidly build domain-specific AI agents.
Integrate LLMs with enterprise data sources, ensuring secure access, policy enforcement, and governance-by-default.
Implement human-in-the-loop patterns, evaluation loops, and guardrails for responsible AI behavior.
Drive platform reliability, performance, observability, and cost efficiency for AI workloads.
Act as a technical anchor for complex design decisions, proofs-of-concept, and production hardening.
Partner with product, data science, and platform teams to translate AI use cases into scalable platform capabilities.

Responsibilities

What You Bring

Deep, hands-on experience building production-grade AI systems, preferably involving conversational AI, agents, or LLM-based architectures.
Strong full-stack engineering expertise across backend services, APIs, data access layers, and modern frontend frameworks.
Practical experience with multi-agent frameworks, orchestration patterns, or Google ADK (or equivalent agent platforms).
Solid understanding of the AI/ML lifecycle: prompt engineering, tool use, evaluation, monitoring, and continuous improvement.
Experience building cloud-native systems using containers, Kubernetes, CI/CD, and infrastructure-as-code.
Strong grounding in enterprise data platforms, security, access controls, and privacy-aware system design.
A clear point of view on responsible AI, trust, and human-in-the-loop augmentation as non-negotiable.

Qualifications