AI Software Engineer with Security Clearance

Oteemo Inc.

Reston (VA)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Oteemo Inc. in Reston, VA is seeking an exceptional AI Software Engineer to build enterprise AI applications end to end from database to UI. You will work with cutting-edge LLM technology, RAG systems, and production ML infrastructure to ship reliable, scalable AI features.

This role emphasizes full-stack capabilities, responsible for backend services in Python/FastAPI and frontend in React/Next.js, plus cloud, containers, and observability tooling to ensure performance and cost efficiency.

Qualifications

  • Experience building production AI applications.
  • Strong full-stack development experience with Python and JavaScript.

Responsibilities

  • Design and implement end-to-end RAG pipelines for enterprise knowledge bases.
  • Integrate with leading LLMs (GPT-4, Claude, Gemini) for contextual responses.
  • Develop prompt strategies and evaluation frameworks for high-quality AI outputs.
  • Create agent systems with tool integration to autonomously complete tasks.
  • Implement vector search solutions for semantic retrieval across datasets.
  • Build scalable backend services with Python/FastAPI and secure APIs.
  • Develop frontend apps using React/Next.js with real-time LLM streaming.
  • Design databases across PostgreSQL, MongoDB, and Redis for high-throughput workloads.
  • Set up WebSocket servers and event-driven architectures for real-time UX.
  • Create comprehensive testing strategies: unit, integration, and end-to-end tests.
  • Deploy and manage ML/AI services with Docker and Kubernetes.
  • Build CI/CD pipelines and infrastructure as code with Terraform.
  • Monitor systems using Datadog and Prometheus/Grafana; use LangSmith and Weights & Biases for experimentation.

Skills

Python
FastAPI
React
Next.js
LLM integration
Cloud platforms
Docker
Kubernetes
PostgreSQL
MongoDB
Redis
CI/CD pipelines
Security/compliance

Tools

Docker
Kubernetes
Terraform
Datadog
Prometheus
Grafana
LangSmith
Weights & Biases
Pinecone / Weaviate

Job description

Company Description Oteemo is an industry-leading technology consulting firm at the forefront of cloud native, enterprise DevSecOps, and AI-driven transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting-edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core. We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong. Job Description

We're seeking an exceptional AI Software Engineer to build and scale enterprise AI applications end to end from database to UI. In this role, you'll work with cutting-edge LLM technology, RAG systems, and production ML infrastructure, combining full-stack development expertise with hands-on AI/ML engineering to ship intelligent systems that deliver real business value at scale. You'll be a key technical contributor, shipping production-ready AI features that users love while ensuring reliability, performance, and cost-effectiveness.

Key Responsibilities

Design and implement end-to-end RAG (Retrieval-Augmented Generation) pipelines for intelligent document search and question-answering across enterprise knowledge bases.

  • Build production-ready integrations with leading LLMs (GPT-4, Claude, Gemini) for accurate, contextual responses to user queries.
  • Develop prompt engineering strategies and evaluation frameworks to ensure consistent, high-quality AI outputs.
  • Create agent systems with tool integration capabilities that can autonomously complete complex tasks.
  • Implement vector search solutions using Pinecone, Weaviate, or similar technologies for semantic similarity and knowledge retrieval.
  • Build scalable backend services using Python/FastAPI with type-safe APIs, authentication, and robust error handling.
  • Develop responsive, performant frontend applications using React/Next.js with real-time streaming for LLM responses.
  • Design and optimize database schemas across PostgreSQL, MongoDB, and Redis to support high-throughput AI workloads.
  • Implement WebSocket servers and event-driven architectures for real-time user experiences.
  • Create comprehensive testing strategies covering unit, integration, and end-to-end tests.
  • Deploy and manage ML/AI services using Docker containers and Kubernetes orchestration.
  • Build and maintain CI/CD pipelines for rapid, safe deployment of AI features.
  • Implement infrastructure as code using Terraform to manage cloud resources (AWS, Azure, or GCP).
  • Set up monitoring and observability using Datadog, Prometheus/Grafana, and LLM-specific tools (LangSmith, Weights & Biases).
  • Optimize costs through intelligent caching, batching strategies, and model selection algorithms.
  • Ensure enterprise-grade security through authentication, authorization, secrets management, and compliance measures.
  • Ensure enterprise-grade security through authentication, authorization, secrets management, and compliance measures.
  • Ensure enterprise-grade security through authentication, authorization, secrets management, and compliance measures.
  • Clear technical communication and documentation abilities. Additional Information All your information will be kept confidential according to EEO guidelines. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
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