IND Staff Software Engineer

Reposted Yesterday
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Puppalagunda, Manikonda, Rangareddy, Telangana, IND
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Design, build, and deploy Agentic AI solutions using various GCP services while collaborating with cross-functional teams to enhance business objectives.
Summary Generated by Built In
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 

The Senior 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: 6–8 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. 

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

Skills Required

  • 6-8 years in Software Engineering
  • 2+ years in GenAI and Agentic AI development
  • Experience delivering 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

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support A 401(k) with matching plus an additional company contribution, alongside an employee stock purchase plan and no‑cost financial planning, signals robust long‑term savings support. HSAs/FSAs and related financial tools further strengthen overall financial well‑being.
  • Leave & Time Off Breadth At least 25 days of PTO to start, options to buy or roll over time, and paid parental leave indicate broad time‑off support. Paid leave for organ and bone marrow donation and generous disability coverage extend protection for significant life events.
  • Healthcare Strength Multiple medical, dental, and vision options with the company covering most medical and dental premiums reflect strong core health coverage. Wellness programs, fitness reimbursements, well‑being credits, and accessible behavioral health services expand depth and accessibility.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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