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 :

- 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





- 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 contemporary 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, and limitations :

- Proven track record building and deploying production AI systems (RAG, agents, fine-tuning, embeddings, vector search) :

- Proficiency with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex) :

- Hands-on experience with major LLM providers and platforms (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock) :

- Solid understanding of prompt engineering, evaluation methodologies, and AI safety/guardrails

- Programming: Expert-level proficiency in Python; robust skills in at least one additional language (Java, TypeScript/Node.js, C#/.NET) :

- **Cloud & Infrastructure: Hands-on experience dep

📌 Indstaff Software Engineer - Ai (Hyderabad)
🏢 The Hartford
📍 Hyderabad