Senior Software Engineer/AI

The Hartford; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive compensation

Professional development

Collaborative environment

Job summary

The Hartford in Hyderabad is seeking a Senior Software Engineer to design, build, and deploy Agentic AI solutions on Google Cloud Platform. You will integrate Vertex AI capabilities and ensure scalable, secure AI services in collaboration with cross-functional teams.

Expected expertise includes GenAI, LangGraph/Langchain, and hands-on experience with GCP services like Cloud Run and IAM. Strong programming skills in Python or Java are required.

Qualifications

• 2–4 years in Software Engineering with at least 2+ years in GenAI/Agentic AI development.
• Delivered at least one GenAI/Agentic AI project end-to-end.
• Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI.

Responsibilities

• Design, build, and deploy Agentic AI solutions on GCP.
• Develop scalable AI services using Cloud Run, ECS, IAM and networking.
• Collaborate with data scientists, architects and product teams to deliver AI-driven capabilities.

Skills

GenAI

LangGraph/Langchain

Vertex AI

Python/Java

GCP Cloud Run/ECS

Tools

Google ADK

Job description

IND Senior Software Engineer - GCC024

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

The AI Engineer will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine on GCP. This role requires deep expertise in GenAI, hands‑on experience with Vertex AI, and strong knowledge of GCP services such as Cloud Run, ECS, and Vertex AI Search Engine. The engineer will collaborate with cross‑functional teams to deliver AI‑driven solutions that align with enterprise architecture and business objectives.

Key Responsibilities

AI Solution Development and Delivery Design and implement Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine. Build and deploy AI models leveraging Vertex AI capabilities (e.g., Model Garden, AutoML, Generative AI APIs). Integrate AI agents with enterprise applications and workflows for automation and decision‑making. Develop scalable and secure AI services using Cloud Run, ECS, and other GCP components. Optimize AI pipelines for performance, cost efficiency, and reliability.

Innovation and Strategy Drive adoption of GenAI and Agentic AI frameworks across business units. Conduct proof‑of‑concepts (POCs) for emerging AI technologies and frameworks. Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures. Stay current with AI trends, frameworks, and best practices to propose innovative solutions.

Collaboration and Enablement Work closely with data scientists, architects, and product teams to deliver AI‑driven business capabilities. Provide technical guidance and mentorship to junior engineers on AI development practices. Document AI solution architectures, patterns, and reusable components.

Expected Results

Delivered production‑grade Agentic AI solutions aligned with enterprise strategy. Successfully integrated AI agents into business or technical workflows for automation and enhanced decision‑making. Improved operational efficiency and customer experience through AI‑driven innovation. Established reusable AI patterns and best practices for enterprise adoption.

Required Skills

Experience: 2 to 4 years in Software Engineering, with at least 2+ years in GenAI and Agentic AI development.

Project Delivery: Must have delivered at least one GenAI or Agentic AI project end‑to‑end.

Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI.

Hands‑on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.

Solid understanding of GenAI patterns, LLM fine‑tuning, and prompt engineering.

Programming Skills: Python, Java, or similar languages for AI development.

Strong problem‑solving, communication, and collaboration skills.

Nice to Have Skills

Cloud Certifications: GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.

What We Offer

Opportunity to work on advanced cloud automation and AI technologies. Collaborative and innovative work environment. Competitive compensation and comprehensive benefits. Continuous learning and professional development opportunities.

About Us | Our Culture | What It’s Like to Work Here

Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever‑changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.

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