Job Openings Gen AI Engineer

About the job Gen AI Engineer

  • Role: Gen AI Engineer
  • Location: Remote (US)
  • Number of roles: 3
  • Type: Fulltime or Contract

Job Description

Solution Engineering & Delivery

  • Translate business requirements into robust, scalable AI solutions using RAG, embeddings, vector search, and fine-tuning.
  • Design, prototype, and implement LLM-driven applications with multi-step agent workflows and orchestration frameworks (e.g., LangGraph, LangChain, LlamaIndex).
  • Build and maintain APIs, services, and reusable components in Python to support AI applications.
  • Deploy and monitor AI models in cloud-native environments (GCP, Azure) leveraging Kubernetes, serverless, and MLOps pipelines.
  • Continuously evaluate model/system performance and implement improvements.

Architecture & Standards

  • Contribute to the design of modular and reusable AI architectures across projects.
  • Establish and follow engineering best practices for GenAI development, testing, deployment, and monitoring.
  • Support the creation of documentation, templates, and playbooks for consistent solution delivery.

Collaboration & Integration

  • Partner with cross-functional teams to integrate AI capabilities into enterprise applications.
  • Work closely with business stakeholders to translate challenges into AI-powered solutions.
  • Share lessons learned and help drive adoption of AI practices across teams.
  • Ensure AI applications align with security, compliance, and responsible AI standards.

Minimum Requirements

  • Bachelors or Masters degree in Computer Science, AI/ML, or related technical field.
  • 5+ years of software development experience, with strong proficiency in Python.
  • 3 - 5+ years hands-on experience building GenAI/LLM-based applications, with proven success from PoC to production deployment.
  • Proficiency in designing retrieval pipelines (document loaders, chunking strategies, embeddings, vector databases like FAISS, Pinecone, ChromaDB).
  • Expertise in LLM APIs (OpenAI, Claude, Gemini, etc.), prompt engineering, and fine-tuning.
  • Experience with cloud platforms (GCP, Azure), containerization (Docker, Kubernetes), and MLOps (CI/CD, monitoring).
  • Strong understanding of API design, microservices, and enterprise integration patterns.
  • Familiarity with version control systems (e.g., Git, Azure DevOps).
  • Demonstrated ability to build and scale AI solutions in production.


Preferred Qualifications

  • Experience with orchestration frameworks (LangGraph, LangChain, LlamaIndex).
  • Familiarity with DevOps practices such as IaC (Terraform), YAML pipelines, and automation.
  • Strong communication skills with ability to collaborate across teams and articulate technical concepts clearly.
  • Proactive, self-motivated problem solver with a track record of delivering high-value solutions.
  • Leverage vibe and agentic coding tools such as Cursor, Claude Code, and similar frameworks to accelerate AI solution development and orchestrate multi-agent workflows.


Additional Attributes

  • Analytical mindset with focus on measurable outcomes.
  • Collaborative team player who thrives in cross-functional environments.
  • Curiosity and drive to stay current with emerging GenAI technologies.

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