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AI Development Engineer - DevX Platform Fully Remote - US

DS Technologies Inc

AI Development Engineer - DevX Platform

Full Time • Fully Remote - US
About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
 
DS Technologies Inc is looking for AI Development Engineer - DevX Platform role for one of our premier clients.

Job Title: AI Development Engineer - DevX Platform
Location: Remote
Position Type: Full-Time

ROLE OVERVIEW:
Nous Infosystems is seeking a talented AI Development Engineer to contribute to the technical construction of DevX, our internal AI-Native development platform. In this pivotal role, you will bridge the gap between advanced AI capabilities and practical software engineering. working closely with our offshore engineering teams to build a platform that redefines how software is delivered.

This is a builder's role. You will not just be integrating APIs; you will be architecting scalable backend services, designing intelligent agenticworkflows, and embedding AI deep into the Software Development Life Cycle (SDLC).

ABOUT THE DEVX PLATFORM:

DevX is Nous' next-generation engineering platform designed to accelerate time-to-market and improve code quality through intelligence. It goes beyond simple code completion—DevX orchestrates the entire delivery lifecycle with autonomous agents for testing, smart CI/CD pipelines that self-diagnose failures, and automated code review systems that enforce architectural standards.

KEY RESPONSIBILITIES:
  • Platform Core Development: Design and build robust backend services and microservices that power the DevX platform ecosystem.
  • AI/LLM Integration: Integrate Large Language Models (LLMs) and custom AI models to enable features like semantic code search, automated refactoring, and natural language infrastructure provisioning.
  • Offshore Collaboration: Act as a technical liaison and co-developer with our India-based engineering team, participating in daily stand-ups and code reviews to ensure architectural alignment.
  • Intelligent Code Analysis: Implement AI-powered static analysis and code generation tools that improve developer productivity and code safety.
  • Scalable Architecture: Build highly scalable, event-driven backend systems using Python, Node.js, or Go to handle concurrent processing of large codebases.
  • Next-Gen Testing: Design automated testing frameworks where AI agents generate test cases, execute regressions, and analyze root causes of failures.
  • Smart CI/CD: Develop integrations for standard CI/CD tools (Jenkins, GitHub Actions) that use AI to predict build failures and optimize deployment pipelines.
  • Observability: Create comprehensive monitoring dashboards to track platform usage, model latency, and accuracy of AI suggestions.
  • Technical Strategy: Contribute to the technical roadmap, evaluating new AI tools and frameworks to keep DevX at the cutting edge of the industry.
REQUIRED QUALIFICATIONS:
  • Experience: 5-10 years of professional software engineering experience with a focus on backend or full-stack development.
  • Full-Stack Mastery: Strong proficiency in Python and JavaScript/TypeScript, with experience in modern frontend frameworks (React/Vue).
  • LLM Expertise: Hands-on experience integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) into production applications.
  • Platform Engineering: Proven track record of building internal developer platforms, SaaS products, or complex engineering tools.
  • API Design: Expertise in designing and implementing RESTful APIs and microservices architectures.
  • Cloud Native: Proficiency with AWS, Azure, or GCP, including containerization technologies (Docker, Kubernetes).
  • Global Collaboration: Experience working effectively with distributed or offshore engineering teams across time zones.
  • DevOps Mindset: Strong understanding of CI/CD pipelines, infrastructure- as-code, and modern DevOps practices.
  • Education: Bachelor' s degree in Computer Science, Engineering, or equivalent practical experience.
PREFERRED QUALIFICATIONS:
  • Experience with orchestration frameworks like LangChain, LlamaIndex, or Spec Driven Development.
  • Knowledge of vector databases (Pinecone, Weaviate, ChromaDB) and RAG (Retrieval-Augmented Generation) architectures.
  • Familiarity with the developer tool ecosystem (GitHub API, Jira API, GitLab) for deep integrations.
  • Experience with streaming data and real-time processing architectures.
  • Contributions to open-source AI or developer tooling projects.
  • Understanding of prompt engineering techniques and LLM fine-tuning strategies.
TECHNICAL STACK:
  • Languages: Python, TypeScript, Go
  • AI / ML: OpenAI, Anthropic, LangChain, Hugging Face
  • Backend: FastAPI, Node.js, GraphQL
  • Data: PostgreSQL, Redis, Vector DBs
  • Frontend: React, Next.js, Tailwind CSS
  • Cloud & Infra:  AWS/Azure, Kubernetes, Terraform

This is a remote position.

Compensation: $100,000.00 per year

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.





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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.