Senior Software Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, deploy, and manage AI agents using Amazon Bedrock AgentCore.

• Integrate foundation models, Knowledge Bases, Agents, Guardrails, prompts, and select models.

• Develop on the Oracle AI Data Platform utilizing Master Catalog assets, Spark notebooks, workflows, medallion data patterns, knowledge bases, and agent flows.

• Implement capabilities of the Oracle AI Database, including AI Vector Search, hybrid retrieval, Select AI, in-database ML, embedding pipelines, and PL/SQL.

• Link Oracle data services with AWS-hosted AI applications via secure APIs and interchangeable service interfaces.

• Oversee chunking, embedding, metadata filtering, reranking, retrieval tuning, and systematic retrieval evaluations.

• Enforce IAM least privilege, database-controlled access, PII management, prompt-injection safeguards, unsafe-output guardrails, and audit trails.

• Create evaluation and regression suites for LLM outputs and confirm end-to-end functionality against actual services.

• Deploy Python services on AWS utilizing Lambda, API Gateway, S3, ECS/EKS, Step Functions, and Secrets Manager.

• Monitor latency, quality, and costs through CloudWatch and AgentCore Observability.

• Engage in sprint ceremonies, code reviews, and design assessments.

• Maintain documentation, runbooks, and knowledge transfer materials.

⛳️ Requirements

• 4–8 years of experience in software, data, or AI/ML engineering.

• Practical experience in delivering generative AI or LLM-based applications in production or nearly production settings.

• Demonstrated expertise in constructing RAG pipelines and agentic workflows, including tool invocation and multi-step orchestration.

• Familiarity with Amazon Bedrock and AWS-native deployment.

• Experience with Oracle Database or Oracle AI Database.

• Strong skills in debugging and root-cause analysis, including tracing non-deterministic model behavior.

• Excellent written and verbal communication abilities.

• Capacity to work autonomously within a distributed team environment.

• A Bachelor's degree or higher in Computer Science, AI, or a related field is preferred.

• Experience with AgentCore Identity and Gateway for secure, tool-enabled agents is preferred.

• Familiarity with Oracle Cloud Infrastructure, Apache Spark, or medallion-architecture data pipelines is preferred.

• Experience with infrastructure as code and Kubernetes is preferred.

• Familiarity with agent frameworks such as Strands Agents or migrating Bedrock Agents to a code-first framework is preferred.

• Experience with LLM gateways, token and cost tracking, and usage analytics is preferred.

• Relevant AWS or Oracle Cloud Infrastructure Generative AI certifications are preferred.

🏝️ Benefits

• Remote work arrangement.

• Equal opportunity employer.

• Reasonable accommodations for individuals with disabilities.