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 qualified 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; strong skills in at least one additional language (Java, TypeScript/Node.js, C#/.NET)**
+ **Cloud & Infrastructure: Hands-on experience deploying and operating AI workloads on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions)**
+ **Data: Proficiency with SQL and NoSQL databases, vector databases (Pinecone, Weaviate, pgvector, ChromaDB), and data pipeline tools**
+ **API Development: Proven track record building production APIs (REST, GraphQL, gRPC) and event-driven integrations**
+ **AI Tools Proficiency: Advanced daily usage of AI coding assistants with demonstrated impact on productivity and code quality**
+ **Testing: Strong testing practices for AI systems including model evaluation, integration testing, and automated quality checks**
+ **Communication: Excellent written and verbal communication skills with ability to explain complex AI concepts to diverse audiences**

**Preferred Qualifications**

+ **Experience building enterprise AI platforms serving multiple product teams**
+ **Familiarity with custom model training, fine-tuning (LoRA, QLoRA), and RLHF techniques**
+ **Experience with agent-based AI architectures and autonomous multi-step workflows**
+ **Knowledge of AI security concerns (prompt injection, data leakage, model poisoning) and mitigation strategies**
+ **Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements**
+ **Contributions to open-source AI/ML projects or published technical content**
+ **Cloud certifications (AWS Solutions Architect, GCP Professional Cloud Architect, or equivalent)**
+ **Experience with real-time inference, streaming responses, and low-latency AI serving architectures**

Required Skill Profession

Other General

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