Senior Software Engineer/AI

The Hartford India; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Benefits offered by this job

Advanced cloud/AI work

Collaborative environment

Competitive compensation

Learning & development

Job summary

The Hartford India is seeking an AI Engineer to design, build, and deploy Agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, LangGraph/Langchain, and Agent Engine. You will collaborate with data scientists and engineers to deliver scalable, secure AI services that align with enterprise architecture.

The ideal candidate has 2–4 years in software engineering with GenAI experience, hands‑on Vertex AI, and strong Python/Java skills.

Qualifications

• 2–4 years in Software Engineering with GenAI/Agentic AI experience.
• Must have delivered GenAI/Agentic AI project end‑to‑end.

Responsibilities

• Design and implement Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine.
• Build and deploy AI models leveraging Vertex AI capabilities (Model Garden, AutoML, Generative AI APIs).
• Integrate AI agents with enterprise applications and workflows for automation.
• Develop scalable and secure AI services using Cloud Run, ECS, and other GCP components.
• Collaborate with data scientists, architects, and product teams to deliver AI‑driven capabilities.
• Provide technical guidance and mentorship to junior engineers.
• Document AI solution architectures and reusable components.

Skills

GenAI

Agentic AI

Google ADK

LangGraph/Langchain

Vertex AI

Python

Java

Problem solving

Communication

Collaboration

Tools

LangGraph/Langchain

Agent Engine

Vertex AI Search Engine

Cloud Run

ECS

IAM

Networking

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.