Sr Software Engineer Gen AI

Responsibilities

• · Design and implement AI-enabled software services that are scalable, fault-tolerant, secure, and maintainable, aligned with enterprise engineering standards.
• · Build and integrate agentic AI capabilities into enterprise applications using Hartford’s Vertex AI-based platform, including agent workflows, tool integration, and orchestration patterns.
• · Develop agent solutions leveraging Gemini foundation models for advanced reasoning and multimodal GenAI capabilities.
• · Use the Agent Development Kit (ADK) to define agent behaviors, workflows, and multi-agent patterns with fine-grained control.
• · Deploy, scale, and operate agents in production using Agent Engine, including monitoring, logging, tracing, and session management.
• · Implement retrieval-augmented generation (RAG) patterns using vector databases and embeddings to ensure relevance and accuracy of AI outputs.
• · Apply prompt engineering and prompt lifecycle management using centralized governance to ensure consistent, reusable, and compliant prompt assets.
• · Partner with Data Science and Architecture teams to implement AI-powered features using large language models, embeddings, vector databases, orchestration frameworks, and evaluation strategies.
• · Operationalize AI safely and responsibly by applying platform guardrails, security controls, and responsible AI governance practices.
• · Build observability and evaluation into AI systems by capturing logs, metrics, and traces across agent workflows and applying evaluation pipelines to measure correctness, completeness, and safety.
• · Contribute to LLM upgrade readiness, including version migration testing, regression strategies, automation, and change management to minimize delivery disruption.
• · Troubleshoot complex issues across application, data, and AI layers, communicating risks and mitigations clearly and proactively.
• · Contribute to knowledge sharing and reusable accelerators within the India GCC.

Qualifications

• · Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
• · Strong software engineering experience designing and delivering enterprise applications and services, including APIs, distributed systems, and cloud-native architectures.
• · Hands-on experience with Google Cloud Vertex AI–based GenAI development across the full lifecycle from development through production operations.
• · Hands-on experience with foundational engineering tech stacks, such as; Python, Node.js, Java/Spring, CI/CD pipelines, and modern UI frameworks like Angular or React
• · Experience designing or implementing Generative AI solutions using large language models, prompt engineering, and retrieval-augmented generation.
• · Familiarity with agentic AI systems and orchestration frameworks, including ADK for agent development and Agent Engine for production runtime operations.
• · Understanding of responsible AI practices, including model evaluation, governance controls, and safe deployment guardrails.
• · Strong written and verbal communication skills, with the ability to collaborate effectively across engineering, product, and data science teams.

Preferred / Nice-to-Have