Senior Agentic AI Engineer

Bread Financial; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Bread Financial seeks a Senior Agentic AI Engineer to design and build core platform capabilities for secure, scalable GenAI and Agentic AI solutions. You will develop foundational services like agent orchestration, vector search, LLM interfaces, and observability and security frameworks that keep products reliable and compliant.

You will work with platform, security, and application teams to ensure AI components are production-ready and aligned with enterprise standards, applying strong

Qualifications

• Bachelor’s degree or equivalent with relevant work experience.
• 8+ years of software engineering experience.
• 3+ years building AI platform components.
• 4+ years implementing LLM-based services: prompts, tool calls, retrieval-augmented generation, latency management.

Responsibilities

• Design and build orchestration layers for LLM workflows and multi-step agent pipelines with SLAs, retries, rate limiting, and tracing.
• Implement vector data infrastructure including indexing strategies, embeddings management, and data lifecycle controls.
• Develop LLM interfaces & SDKs that abstract providers, standardize prompts, enable guardrails, and support evaluation harnesses and A/B testing.
• Integrate logging, tracing, metrics, prompt/response analytics, eval pipelines, and SLO dashboards.
• Enforce data classification, redaction, PII controls, prompt injection defenses, content filtering, and secrets management.
• IaC (Terraform/CDK), CI/CD for model and prompt artifacts, environment promotion, and cost monitoring/optimization.
• Partner with cross-functional teams to productionize new capabilities and drive platform adoption with templates and enablement.
• Participate in on-call rotations and continuous improvement of performance, reliability, and developer experience.

Skills

LLM workflows

Agentic AI

Vector data infra

Observability

Security controls

Infrastructure as Code

CI/CD

Education

Bachelor’s Degree in CS/Engineering

Master’s Degree (preferred)

Tools

Bedrock

Azure/OpenAI

OpenTelemetry

Terraform

CDK

Job description

The Senior Agentic AI Engineer will design and build core platform capabilities that enable secure, scalable GenAI and Agentic AI solutions across Bread Financial. This role will develop foundational services such as, agent orchestration, vector search, LLM interfaces, and observability and security frameworks that allow product teams to deliver reliable AI features quickly and safely. The Lead Engineer will work closely with platform, security, and application teams, ensuring AI platform components are production-ready, well-governed, and aligned to enterprise standards. The Lead Engineer will apply strong technical judgement, contribute to platform design decisions, and help evolve shared AI infrastructure that accelerates innovation while maintaining trust, reliability, and compliance.

Essential Job Functions

• Design and build orchestration layers for LLM workflows and multi-step agent pipelines (tool use, retrieval, grounding, function calling), with clear SLAs, retries, rate limiting, and tracing. - (20%)
• Implement vector data infrastructure (e.g. Chroma, OpenSearch) including indexing strategies, embeddings management, RAG patterns, and data lifecycle controls. - (15%)
• Develop LLM interfaces & SDKs that abstract providers (Bedrock, Azure/OpenAI, etc.), standardize prompts, enable guardrails, and support evaluation harnesses and A/B testing. - (15%)
• Integrate logging, tracing (e.g., OpenTelemetry), metrics, prompt/response analytics, eval pipelines (quality, toxicity, hallucination), and SLO dashboards. - (10%)
• Enforce data classification, redaction, PII controls, prompt injection defenses, content filtering, secrets management, and policy-as-code for model/endpoint access. - (10%)
• IaC (Terraform/CDK), CI/CD for model and prompt artifacts, environment promotion, and cost monitoring/optimization. - (10%)
• Partner with cross-functional teams (data engineering, security, product) to productionize new capabilities and drive platform adoption through documentation, templates, and enablement. - (10%)
• Participate in on-call rotations, root-cause analysis, and continuous improvement of performance, reliability, and developer experience. - (10%)

Minimum Qualifications

• Bachelor’s Degree in Computer Science, Engineering, or related field of study or equivalent, relevant work experience
• 8+ years of overall software engineering experience.
• 3+ years of experience building AI platform components.
• 4+ years of experience implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.

Preferred Qualifications

• Master’s Degree in Computer Science, Engineering, or related field of study or equivalent, relevant work experience
• 5+ years of software engineering experience.
• 3+ years of experience building AI platform components.
• 3+ years of experience implementing LLM-based services: prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.