Senior GenAI Engineer

Senior GenAI | Agentic AI | RAG | LLM Architecture - Contract

Location: Remote, India

Duration: 6+ Months

Positions: 1

Engagement: Contract

About the Role

We are seeking an experienced Technical Lead – Senior Generative AI to drive the architecture, development, and continuous improvement of enterprise Agentic AI solutions. The ideal candidate will have strong hands-on expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and production AI operations, along with proven technical leadership skills.

Key Responsibilities

AI Architecture and Solution Leadership

• Own the technical architecture, design decisions, and roadmap for Agentic AI solutions.
• Continuously improve AI agents, RAG pipelines, prompts, guardrails, and model performance.
• Optimise solution quality, accuracy, latency, scalability, and cost efficiency.
• Evaluate AI/ML approaches and recommend solutions for new business use cases.

Technical Delivery and Production Operations

• Translate business requirements into scalable, secure, and maintainable AI solution designs.
• Collaborate with AI, data, application development, QA, and business teams.
• Lead technical reviews, effort estimations, impact assessments, and root-cause analysis of production issues.
• Establish AI evaluation metrics, observability, monitoring, and performance KPIs.
• Optimise LLM usage, token consumption, inference costs, and retrieval mechanisms.
• Ensure security, governance, compliance, and Responsible AI practices.

Team Leadership

• Lead, mentor, and guide AI Engineers, Data Engineers, and Application Developers.
• Drive best practices in architecture, code quality, documentation, and knowledge sharing.
• Coordinate distributed teams, resource planning, and onboarding.

Stakeholder Management

• Present technical recommendations, architectural decisions, and roadmaps to business stakeholders.
• Support architecture reviews, governance discussions, and production readiness assessments.
• Communicate delivery progress, risks, dependencies, and milestones.

Required Skills and Experience

• Strong hands-on experience in Generative AI, LLMs, and enterprise AI application development.
• Expertise in Agentic AI, AI agent design, orchestration, and tool calling.
• Experience designing and implementing production-grade RAG applications.
• Strong knowledge of prompt engineering, embeddings, vector search, retrieval optimisation, and LLM guardrails.
• Experience with scalable AI architecture, LLM integration, and production deployment.
• Understanding of model evaluation, AI observability, monitoring, latency, and cost optimisation.
• Experience with AI security, Responsible AI, governance, and compliance.
• Proven technical leadership, mentoring, architecture review, and stakeholder management experience.