Role & responsibilities

Senior AI/ML Engineer

Role Overview

Location

Chennai

Employment Type

Full-Time

Department

AI Engineering

Reports To

Delivery Lead / Engineering Manager / AI Practice Lead

Experience

7+ years (3+ years hands-on AI / GenAI)

We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI architectures, and modern cloud-native technologies. This role combines deep AI engineering expertise with strong full-stack development capabilities to deliver production-ready applications that drive measurable business outcomes.

What You Will Do

- Design and develop enterprise-grade Agentic AI applications with end-to-end ownership
- Build scalable RAG systems and knowledge-driven AI experiences on enterprise data sources
- Develop multi-agent workflows and intelligent automation solutions
- Create backend services and APIs supporting AI-powered applications
- Build AI-powered web applications and conversational experiences
- Develop evaluation frameworks to improve AI quality, reliability, and safety
- Optimize AI workflows for performance, scalability, and cost efficiency
- Partner with product, data, and business teams to define AI-first solutions
- Implement AI observability, governance, and responsible AI practices
- Mentor junior engineers and contribute to engineering excellence and standards
- Build cutting edge Machine Learning Models to feed the AI agents

Key Responsibilities

- Design scalable AI solution architectures aligned to business objectives and platform constraints
- Build AI agents, autonomous workflows, and multi-agent orchestration systems
- Develop RAG pipelines ingesting and indexing enterprise knowledge sources
- Implement prompt engineering strategies, model orchestration, and fine-tuning approaches
- Build evaluation frameworks and AI quality assurance pipelines




- Develop backend services and frontend applications supporting production AI solutions
- Lead architecture discussions, technical design reviews, and code quality standards
- Implement cloud-native deployment, monitoring, and CI/CD practices for AI workloads
- Ensure AI governance, security, privacy, and compliance controls across all deliverables
- Explore emerging Agentic AI technologies and drive innovation within the practice

Required Qualifications

Experience: 5-6 years of software engineering with strong full-stack expertise; 3+ years hands-on AI/ML or Generative AI

Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related discipline

Core Skills

Large Language Models (LLMs)

Agentic AI Systems & Multi-Agent Architectures

Machine Learning (Classical + Applied)

Retrieval-Augmented Generation (RAG)

Prompt Engineering & Model Fine-Tuning

AI Evaluation & Observability

Semantic Search & Knowledge Retrieval

Python & Contemporary API Development

Full Stack Application Development

Cloud-Native Architecture (Azure / AWS / GCP)

AI Governance & Responsible AI

MLOps & Production AI Deployment

Preferred Qualifications

- Cloud or AI-related certifications (Azure AI, AWS ML Specialty, Google Professional ML Engineer)
- Experience building Agentic AI platforms at scale
- Exposure to Retail Search, Personalization, Recommendations, or Commerce AI solutions
- Contributions to open-source AI tooling or published technical writing

Success Measures

- Delivery of enterprise-grade AI applications on time and within quality thresholds
- Improved AI accuracy, reliability, and end-user adoption metrics
- Reduced inference latency and operational costs over baseline
- Increased automation coverage and developer productivity
- Demonstrated platform scalability and production resilience
- Active contribution to engineering standards, documentation, and mentorship

📌 Ai Ml Engineer (Tamil Nadu)
🏢 Mastech Digital
📍 Tamil Nadu