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Hartford Financial Services · India GCC-Puppalaguda Village

# IND Staff Software Engineer

India GCC-Puppalaguda Village Senior individual contributor Software Engineering 

Listed on Hartford Financial Services’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on Hartford Financial Services’s careers site →](https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/India-GCC-Puppalaguda-Village/IND-Staff-Software-Engineer_R2625529)

[OpenNash Jobs](https://jobs.opennash.com/) / [Hartford Financial Services](https://jobs.opennash.com/companies/hartford-financial-services/) / IND Staff Software Engineer

## Job description

IND Staff Software Engineer - GCC122 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 Overview

We are seeking an AI/ML Engineer who will be responsible for architecting, building and deploying production-grade AI systems This is a highly hands-on role requiring deep expertise in ML engineering, MLOps, LLM architecture, and Generative/Agentic AI concepts and tooling exposure. This role is well-suited for someone who brings intellectual curiosity, a bias toward action, and a collaborative mindset, and who is looking to deepen their AI/ML engineering expertise while taking on increasing responsibility over time________________________________________ Key Responsibilities
- Design and implement production-grade AI/ML and Agentic AI solutions that drive end-to-end transformation across pricing, underwriting, and sales.
- Partner with Cloud, AIOps, Data Science, LOB IT, Enterprise Architecture, and Data teams to provision infrastructure, deploy services, and operate scalable AI platforms using modern DevOps practices.
- Leverage AI Platform, agent development standards, and agent frameworks to build, deploy, monitor and maintain agentic solutions & AI/ML pipelines.
- Architect and build highly available, scalable, secure, and fault-tolerant AI/ML systems, applying modern distributed system patterns such as event-driven, pub/sub, and point-to-point architectures.
- Design and implement agent memory, evaluation, and feedback mechanisms to enable quality, safety, and reliability-driven tuning and continuous improvement.
- Develop advanced context engineering, adaptive prompting, multi-agent coordination, and RAG/Agentic RAG systems using techniques such as HyDE, RAPTOR, and GraphRAG to improve accuracy and relevance.
- Write high-quality, production-ready Python (e.g., asyncio, FastAPI, Pydantic) and instrument AI observability using OpenTelemetry, offline evaluation, and drift monitoring, while leveraging enterprise AI platforms and standards. ________________________________________ Required Skills & Experience:

### Experience

Range - 6 to 9 Years
- Bachelor’s or Master’s degree in computer science, Software Engineering, Data Science, or a closely related discipline.
- Professional experience in ML, Software Engineering, or a related role, including 3+ years delivering AI/ML solutions in production.
- Strong Python development experience, building and operating production services and APIs.

### Generative AI & Agentic Systems
- Experience developing full-stack agentic solutions using agent frameworks such as ADK, A2A, MCP, LangChain, LangGraph, or CrewAI, and familiarity with commercial and open-source foundation models.
- Experience building and operating advanced RAG and Agentic RAG systems using modern techniques and methodologies.
- Experience with agentic monitoring, observability, and model evaluation frameworks to assess quality, safety, and performance in production. ML, Platforms & Cloud
- Hands-on experience with ML and AI frameworks such as PyTorch, Hugging Face, Pandas, NumPy, and related libraries.
- Hands-on experience with at least one public cloud AI/GenAI platform (e.g., AWS SageMaker/Bedrock or Google Vertex AI, Vertex AI Search, and RAG Engine). Software Engineering, DevOps & Security
- Experience designing and delivering production-grade APIs and microservices using modern software engineering practices.
- Hands-on experience with DevOps and CI/CD pipelines, infrastructure as code (e.g., Terraform), GitHub collaboration, and cloud deployments.
- Experience with DevSecOps tools such as Nexus, SonarQube, Checkmarx, and mcp-scan.

### Ways of Working & Communication
- Experience working in lean, agile environments (e.g., SAFe or similar frameworks).
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders, influence decisions, and work effectively across teams. ________________________________________Nice to Have
- Knowledge of automated testing, validation gates, canary deployments, and rollback strategies for ML and Agentic AI systems.
- Experience designing and implementing data pipelines for ML and Agentic AI workloads using modern data platforms (e.g., Snowflake, Airflow, S3/Glue/EMR/Redshift, Apache Iceberg, or equivalent).
- Experience working in insurance or other regulatory environments.
- Ability to partner with governance, risk, compliance, and security teams to ensure responsible AI through techniques such as bias mitigation, disparate impact analysis, and counterfactual testing.

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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 100 days
- Location: India GCC-Puppalaguda Village[Apply on Hartford Financial Services’s careers site →](https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/India-GCC-Puppalaguda-Village/IND-Staff-Software-Engineer_R2625529)

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