Senior Software Engineer, AI

Hartford; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Career growth opportunities

Job summary

The Hartford in Hyderabad is seeking a Senior Software Engineer specializing in AI to design and deliver GenAI-driven solutions. You will work with GCP and AWS platforms, collaborate with Architecture teams, and help accelerate AI adoption across business functions.

Ideal candidates have hands-on cloud experience, a solid grasp of NLP/Deep Learning, and a track record of building scalable, serverless applications in enterprise environments.

Qualifications

• 2+ years building and shipping software for enterprises.
• 2+ years of experience with Terraform.
• Hands-on experience with Google Cloud Platform (GCP) and AWS cloud.
• GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
• Experience building scalable serverless applications (real-time/batch) using cloud technologies.
• Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
• Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
• Foundational understanding of Natural Language Processing and Deep Learning.

Responsibilities

• Design and develop AI applications leveraging GCP and AWS Generative AI platforms.
• Collaborate with Enterprise Architecture to design Agentic AI solutions for business applications.
• Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
• Explore new services and capabilities in AWS and Google Cloud Platform to support GenAI and ML services.
• Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
• Develop and promote best practices in AI, ML, and data engineering across teams.
• Architect and design end-to-end solutions at a component level.
• Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
• Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
• Provide technical mentorship and career growth opportunities for team members.
• Review work of systems-level engineers to calibrate deliverables against project and business expectations.

Skills

Terraform

GCP

AWS

BigQuery

API Gateway

GKE/Docker

CI/CD

Unit Testing

NLP

Vector embeddings

Hybrid/Semantic search

Python

Deep Learning

Tools

Docker

Kubernetes

Job description

Senior Software Engineer, AI### Senior Software Engineer, AIApply: India GCC-Puppalaguda Village: Full time: Posted Today: End Date: October 30, 2026 (1 day left to apply): R2627613IND Senior Software Engineer - GCC024We’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:**Our team supports business areas in Corporate Functions and with enterprise architecture group to design and implement Agentic AI solutions for business applications. This role will enable business teams to accelerate AI adoption and deliver innovative, scalable solutions that drive operational efficiency and smarter decision-making across functions such as Finance, Real Estate Investment, Enterprise Risk Management, Legal, and Marketing. As an AI Engineer, you will play a significant role in building AI-powered applications and collaborating with architecture teams to design next-generation Agentic AI frameworks.**Key Responsibilities**· Design and develop AI applications leveraging GCP and AWS Generative AI platforms.· Collaborate with Enterprise Architecture to design Agentic AI solutions for business applications.· Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.· Explore new services and capabilities in AWS and Google Cloud Platform to support GenAI and ML services.· Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.· Develop and promote best practices in AI, ML, and data engineering across teams.· Architect and design end-to-end solutions at a component level.· Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.· Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.· Provide technical mentorship and career growth opportunities for team members.· Review work of systems-level engineers to calibrate deliverables against project and business expectations. **Required Skills**· 2+ years building and shipping software and/or platform solutions for enterprises.· 2+ years of experience with Terraform.· Demonstrated hands-on experience with Google Cloud Platform (GCP) and AWS cloud.· Demonstrated hands-on experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker.· Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.· Experience building scalable serverless applications (real-time/batch) using cloud technologies.· Knowledge of distributed NoSQL database systems and data engineering, ETL technology.· Experience with IR, vector embedding, and Hybrid/Semantic search technologies.· Foundational understanding of Natural Language Processing and Deep Learning.· Excellent problem-solving skills and the ability to work in a collaborative team environment.· Excellent communication skills.**Nice to Have Skills**· Programming experience with Python is preferred.· Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.· Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.· Experience with Agentic AI frameworks and orchestration tools such as LangChain, LlamaIndex, LangGraph, Google Agent Development Kit is a plus.· Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.**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.