AI Engineer

We are seeking an AI Engineer to design and build intelligent applications leveraging Generative AI technologies within an AWS ecosystem. This role involves developing enterprise-grade conversational systems, retrieval-driven AI solutions, and workflow automation capabilities.

You will work on integrating language models into scalable backend services, building data-aware assistants, and implementing automation pipelines that combine AI-driven and conventional approaches., * Architect and implement AI-powered solutions using AWS services such as Bedrock, Lambda, API Gateway, S3, DynamoDB, Step Functions, and CloudWatch.

• Develop conversational assistants that utilize internal data sources through retrieval-based techniques.
• Design and implement pipelines for document ingestion, segmentation, embedding generation, and semantic retrieval.
• Build and manage prompt strategies, structured tool usage, and multi-step execution flows for AI-driven tasks.
• Integrate AI services with enterprise systems, APIs, and databases.
• Develop backend components and service layers using Python and/or Node.js.
• Create automation workflows for operational tasks, selecting AI-based or rule-based approaches as appropriate.
• Perform testing, prompt optimization, and iterative improvements to enhance response quality and system performance.
• Implement observability practices including logging, monitoring, and fault handling.
• Collaborate with cross-functional teams to translate business requirements into technical implementations.

• Minimum 2 years of experience in software development, backend engineering, or applied AI roles.
• Hands-on experience with AWS services relevant to application development and deployment.
• Experience building APIs, microservices, or workflow-driven systems.
• Solid understanding of large language model applications, prompt design, and conversational systems.
• Familiarity with retrieval-based architectures, embeddings, vector similarity search, and document-driven QA systems.
• Strong programming skills in Python.
• Working knowledge of Node.js or TypeScript is advantageous.
• Experience integrating external services using REST APIs, handling authentication, and working with structured data formats like JSON.
• Familiarity with version control systems, CI/CD pipelines, and software engineering best practices.
• Strong analytical and debugging capabilities.

Preferred:

• Experience working with Amazon Bedrock or similar managed LLM platforms.
• Familiarity with orchestration frameworks such as LangChain, LangGraph, CrewAI, or comparable tools.
• Exposure to agent-based or multi-step AI workflows.
• Experience with vector databases or search platforms (e.g., OpenSearch, Pinecone, FAISS).
• Understanding of serverless architectures and cloud-native design patterns.
• Basic knowledge of cloud security, IAM roles, and monitoring strategies.
• Experience in automating internal processes or business workflows.

Typical Projects

• Development of internal AI assistants and conversational interfaces
• Retrieval-based knowledge systems and enterprise search solutions
• Integration of AI capabilities into API-driven workflows
• Automation of routine business processes
• Implementation of early-stage agentic or multi-step intelligent systems