Senior AI Software Engineer (Generative AI AWS Bedrock)

F2F interview

Senior AI Software Engineer (Generative AI / AWS Bedrock)

Reston VA 3 days onsite

Description:

6 years software engineering experience

3 years building AI/ML-powered applications

Experience deploying AI systems into production

Python Programming is must

About the Role

We are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation this role you will develop scalable commercial solutions using AWS Bedrock and other AI model providers integrating advanced AI capabilities into real-world products and platforms.

You will work at the intersection of AI engineering cloud architecture and product development building intelligent systems that leverage multiple foundation models for reasoning automation and data-driven insights.

This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust scalable commercial applications.

What Youll Do

Technology Stack and AI/LLM Programming Expertise

Hands-on experience with LLM APIs or foundation models

Experience building:

o RAG systems

o AI copilots

o conversational agents

o automated workflows

o AI-driven analytics

o document AI solutions

Python

Java / TypeScript / Go (any backend language)

Design and develop production AI applications using models available via AWS Bedrock and external providers

o AWS Bedrock

Anthropic Claude

Amazon Titan

Meta Llama

Cohere

OpenAI

o OpenAI

o Open-source LLMs

o S3 API Gateway Step Functions Lambda / ECS / EKS Docker / Kubernetes

o FastAPI

o Terraform

Create pipelines for:

o embeddings

o document ingestion

o knowledge indexing

o model evaluation

Vector databases (pg-vector S3-vector OpenSearch FAISS)

Embeddings and semantic search

Prompt engineering

Tracing hallucination detection cost monitoring prompt performance drift detection

Model evaluation frameworks

Experience with LangChain LangGraph LlamaIndex or AI orchestration frameworks

LLM Monitoring and Observability

Experience with multi-model routing systems

Experience building AI agents or tool-using LLMs

Knowledge of AI safety guardrails and prompt management

Experience deploying models with Docker and Kubernetes

MCP FastMCP

Reinforcement Learning

AWS SageMaker with MLOPs

Experience with Bedrock API Like from Lambda or Other services

Design high-performance AI APIs and microservices

Optimize latency reliability and cost of model inference

Implement evaluation pipelines and monitoring for AI systems

What Were Looking For

The ideal candidate:

Thinks like a systems architect and builder

Has shipped real AI products to production

Understands tradeoffs between models

Can design robust AI pipelines

Is comfortable working with rapidly evolving AI technologies

Example Problems Youll Work On

Build an enterprise knowledge assistant using Bedrock

Create AI agents that automate complex workflows

Develop document intelligence pipelines for financial or operational data

Design multi-model orchestration frameworks

Optimize LLM cost latency and reliability