AI Engineer

Job Description

We are looking for a skilled AI Engineer with experience in Generative AI, LLMs, AWS cloud services, and enterprise AI integrations. The ideal candidate will work on developing, deploying, and supporting AI-powered applications, multi-agent systems, and cloud-native AI solutions.

Key Responsibilities

AI/LLM Development & Engineering

• Develop and implement AI/LLM-based applications using LangChain, LangGraph, and Model Context Protocol (MCP)
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions
• Work on prompt engineering, agent orchestration, and AI workflow automation
• Implement AI agent patterns such as ReAct, Chain-of-Thought, and multi-agent collaboration
• Integrate enterprise data sources for AI-powered solutions across structured and unstructured data

AWS AI & Cloud Implementation

• Develop and deploy AI solutions using Amazon Bedrock, SageMaker, Bedrock Agents, and Bedrock Knowledge Bases
• Build and maintain cloud-native applications using AWS services such as Lambda, ECS Fargate, EKS, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, OpenSearch, and Athena
• Support infrastructure automation using Terraform, CloudFormation, and AWS CDK
• Monitor application performance, observability, and cloud resource utilization using CloudWatch and related AWS monitoring tools

MLOps & AgentOps

• Support MLOps and AgentOps processes for model deployment, monitoring, evaluation, and continuous improvement
• Implement CI/CD pipelines and automated testing for AI applications
• Ensure secure development practices including dependency scanning, logging, and API security controls

Salesforce & SaaS Integration

• Integrate AI solutions with Salesforce Agentforce, Einstein, Data Cloud, and Service Cloud
• Develop API integrations and support data exchange between Salesforce, AWS, and third-party platforms
• Work with Apex, Flow, and Platform Events for AI-enabled business workflows

Collaboration & Support

• Collaborate with architects, developers, security teams, and business stakeholders to deliver AI solutions
• Participate in architecture discussions, code reviews, and technical troubleshooting
• Create technical documentation and support knowledge-sharing initiatives across teams

Required Skills

• Strong experience with Python and AI/ML frameworks
• Hands-on experience with Generative AI, LLMs, LangChain, LangGraph, and RAG architectures
• Experience with AWS AI/ML and cloud-native services
• Knowledge of API integration, microservices, and distributed systems
• Experience with DevOps, CI/CD, Terraform, and containerized deployments
• Familiarity with Salesforce integrations is a plus
• Good understanding of AI security, governance, and monitoring best practices