INDStaff Software Engineer - AI

Job Details

Location:

Hyderabad, Telangāna, IN

Category:

Information Technology

Employment Type:

Full time

Job Ref:

R2626213-333

IND Staff Software Engineer - GCC011

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Position Summary

We are seeking a highly skilled T7 AI Engineer to join our engineering team in Hyderabad, India. This role combines hands-on AI/ML engineering with deep software development expertise to build, deploy, and operate production-grade AI systems at enterprise scale. You will design and implement AI-powered solutions — from LLM integrations and agentic workflows to ML pipelines and intelligent automation — while driving AI adoption and engineering excellence across teams.

Level: T7 (Senior Engineer)

Location: Hyderabad, India

Employment Type: Full-Time

Key Responsibilities

AI/ML Engineering & Delivery

• Design, build, and deploy production AI systems including RAG pipelines, agentic workflows, multi-model orchestration, and intelligent automation
• Integrate large language model (LLM) APIs and AI/ML services into enterprise applications (GCP Vertex AI)
• Implement and optimize prompt engineering strategies, fine-tuning pipelines, embeddings, and vector search solutions
• Build and maintain AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex
• Develop custom AI agents, tools, and autonomous workflows that solve real business problems
• Establish evaluation frameworks for AI systems — measuring accuracy, latency, cost, hallucination rates, and business outcomes

Full Stack Development & Integration

• Build end-to-end AI-powered applications spanning frontend, backend, APIs, and data layers
• Develop robust backend services using Python (FastAPI/Django) or Node.js to support AI workloads
• Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations for AI services
• Build modern frontend interfaces for AI-powered features using React, Angular, or Vue.js with TypeScript
• Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence

MLOps & AI Infrastructure

• Design and implement MLOps/LLMOps pipelines for reliable model deployment, versioning, and lifecycle management
• Configure and manage cloud-native AI infrastructure (AWS, GCP) including model serving, orchestration, and auto-scaling
• Implement observability for AI systems — monitoring model drift, token costs, latency, throughput, and quality metrics
• Build and maintain CI/CD pipelines for AI model deployment, automated testing, and continuous evaluation
• Design for resilience: failover strategies, fallback models, circuit breakers, and graceful degradation

AI-Augmented Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to dramatically accelerate development workflows
• Use AI tools for code generation, refactoring, test writing, documentation, and code review
• Develop and maintain custom AI-powered developer tools, automations, and internal platforms
• Establish guardrails, security practices, and governance for responsible AI usage in engineering

Technical Documentation & Mentorship

• Influence engineering culture by evangelizing AI-first development practices across teams
• Train and upskill team members on effective use of AI tools, LLM integration patterns, and ML best practices
• Contribute to internal knowledge bases, tech talks, and communities of practice
• Partner with product, design, and data science teams to identify and deliver AI-driven opportunities
• Participate in architecture reviews and design discussions, ensuring AI solutions are production-ready from day one

Required Qualifications

• Experience: 8+ years of professional software engineering experience, with 2+ years focused on AI/ML solution development and delivery
• Education: Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related field (or equivalent experience)
• AI/ML Expertise:
  • **Strong understanding of large language model architectures, capabilities, a…