What are the responsibilities and job description for the W2 Senior AI Software Engineer (Generative AI / AWS Bedrock) position at Cliff Services Inc?
Job Description : Senior AI Software Engineer (Generative AI / AWS Bedrock)
Location, Reston, VA
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 models. In 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 You'll 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 We're 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 You'll 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
Required Qualifications
Experience
6 years software engineering experience
3 years building AI/ML-powered applications
Experience deploying AI systems into production