Job description

Role Overview We are seeking a highly skilled AI Application Engineer to design, develop, and integrate enterprise-grade agentic AI applications. The ideal candidate will have hands-on experience working with large language models (LLMs), multi-agent architectures, and cloud-native technologies. This role requires strong Python and AWS engineering expertise to build scalable, secure, observable, and reliable AI agents and enterprise tool integrations. Key Responsibilities • Collaborate with cross-functional teams to define AI agent requirements, integration patterns, and implementation plans. • Design and develop orchestration agents and domain-specific agents using Python 3.12, LangChain, LangGraph, or Strands. • Integrate LLMs and foundation models for reasoning, structured responses, tool calling, and workflow automation. • Deploy and operate AI agents using Amazon Bedrock AgentCore Runtime and Azure OpenAI. • Implement agent-to-agent communication using A2A 1.0 and the official Python a2a-sdk. • Build secure agent-to-tool integrations using the Model Context Protocol (MCP) and Amazon Bedrock AgentCore Gateway. • Use PostgreSQL for task persistence, workflow status, agent state, and idempotency management. • Store and manage generated documents and artifacts using Amazon S3 and secure credentials with AWS Secrets Manager. • Implement logging, metrics, and distributed tracing using AgentCore Observability, OpenTelemetry, and Amazon CloudWatch. • Develop unit, integration, and A2A contract tests using pytest, and troubleshoot complex AI application issues. • Document agent frameworks, integration patterns, development standards, and operational best practices. Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proven experience developing AI applications and integrating LLMs or foundation models with enterprise systems. • Strong proficiency in Python, asynchronous programming, API development, and object-oriented design. • Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks. • Strong understanding of prompt engineering, tool calling, structured outputs, context management, and LLM response validation. • Experience with AWS services, relational databases, REST APIs, and cloud-native application development. • Familiarity with multi-agent orchestration, distributed systems, task persistence, and asynchronous workflows. • Strong problem-solving, debugging, communication, and collaboration skills. AI Application Engineer Preferred Skills • Experience with Amazon Bedrock AgentCore Runtime, Gateway, and Observability. • Knowledge of A2A protocols, MCP clients and servers, and enterprise tool integration. • Experience with PostgreSQL, Amazon S3, AWS Secrets Manager, OpenTelemetry, CloudWatch, Hashicorp, and pytest. • Experience deploying secure, scalable, and highly available AI applications in production environments. • Familiarity with Docker, Kubernetes, CI/CD pipelines, retrieval-augmented generation, LLM evaluation, and AI guardrails Salary Range: $95,000-$145,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1 </div

Requirements

Must-haves

We are seeking a highly skilled AI Application Engineer to design, develop, and integrate enterprise-grade agentic
AI applications. The ideal candidate will have hands-on experience working with large language models (LLMs),
multi-agent architectures, and cloud-native technologies. This role requires strong Python and AWS engineering
expertise to build scalable, secure, observable, and reliable AI agents and enterprise tool integrations.
Collaborate with cross-functional teams to define AI agent requirements, integration patterns, and implementation
Design and develop orchestration agents and domain-specific agents using Python 3.12, LangChain, LangGraph,
Integrate LLMs and foundation models for reasoning, structured responses, tool calling, and workflow automation.
Deploy and operate AI agents using Amazon Bedrock AgentCore Runtime and Azure OpenAI.
Implement agent-to-agent communication using A2A 1.0 and the official Python a2a-sdk.
Build secure agent-to-tool integrations using the Model Context Protocol (MCP) and Amazon Bedrock AgentCore
Use PostgreSQL for task persistence, workflow status, agent state, and idempotency management.
Store and manage generated documents and artifacts using Amazon S3 and secure credentials with AWS
Secrets Manager.
Implement logging, metrics, and distributed tracing using AgentCore Observability, OpenTelemetry, and Amazon
Develop unit, integration, and A2A contract tests using pytest, and troubleshoot complex AI application issues.
Document agent frameworks, integration patterns, development standards, and operational best practices.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience developing AI applications and integrating LLMs or foundation models with enterprise
Strong proficiency in Python, asynchronous programming, API development, and object-oriented design.

Nice-to-haves

Experience with Amazon Bedrock AgentCore Runtime, Gateway, and Observability.
Knowledge of A2A protocols, MCP clients and servers, and enterprise tool integration.
Experience with PostgreSQL, Amazon S3, AWS Secrets Manager, OpenTelemetry, CloudWatch, Hashicorp, and
Experience deploying secure, scalable, and highly available AI applications in production environments.
Familiarity with Docker, Kubernetes, CI/CD pipelines, retrieval-augmented generation, LLM evaluation, and AI

Application prep

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Keywords to mirror

aipythonawsazureapillmrestdockerkubernetesci/cd

Platform: careers-page
Effort: medium

Benefits

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Dental

Vision

401k

Parental Leave