At Mastech Digital, we solve meaningful business problems using data, AI, and modern digital technologies. Our teams work closely with global enterprises to build solutions that create real, measurable impact. We bring deep industry expertise across Utilities & Energy, Financial Services, Healthcare, Retail, and Technology. With an AI-first mindset and a collaborative culture, we empower our people to innovate, grow, and help clients move forward with confidence.

Role: Senior AI/ML Engineer

Location: Chennai, TN India

Employment Type: Full-Time

Department: AI Engineering

Reports To: Delivery Lead/ Engineering Manager/ AI Practice Lead

Experience: 5-6 years (3+ years hands-on AI / GenAI)

Submit Resume To: recruitment.helpdesk@mastechdigital.com

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 & Modern API Development

- Full Stack Application Development

- Cloud-Native Architecture (Azure / AWS / GCP)

- AI Governance & Responsible AI

- MLOps & Production AI Deployment

Behavioral Competencies:

- Strategic thinking with ability to translate business problems into AI solutions

- Strong problem solving and first-principles reasoning

- Innovation mindset with bias toward experimentation and fast iteration

- Customer focus and outcome orientation

- Ownership and accountability across full delivery lifecycle

- Clear technical communication and cross-functional collaboration

- Adaptability and learning agility in a fast-moving AI landscape

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.

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

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