AI Resume Builder
JOIN NOW Post Job
Anchor Point Technology Resources
AI

Artificial Intelligence Engineer

Anchor Point Technology Resources · Carmel, IN

Actively hiring Posted 6 months ago
  • **6 month contract to hire onsite 3 days weekly

Summary

The Artificial Intelligence (AI) Engineer will report to the AI Operations Team Lead and will be responsible for the development and implementation of AI-powered applications, tools, and systems, with a specific focus on generative AI. This role requires strong software development skills and a passion for AI. The Applied AI Engineer will collaborate with team members and business partners to design, build, test, and deploy innovative AI solutions that drive business growth and enhance customer satisfaction.

Required Skills and Competencies:**

  • Intermediate to Advanced proficiency in Python and JavaScript
  • Experience with cloud-based platforms (e.g., Azure, GCP, AWS)
  • Experience building web-based services and RESTful API’s
  • Experience supporting production services and triaging issues
  • Strong problem-solving abilities and analytical thinking
  • Excellent communication skills to effectively collaborate with technical and non-technical stakeholders
  • Ability to work in a team and contribute to the development of AI solutions
  • **Self-motivated and eager to stay updated with the latest advancements in AI and generative AI technologies

Preferred Skills and Competencies (not mandatory):**

  • Proficiency in applying AI technologies, with a focus on generative AI
  • Familiarity with prompt engineering techniques to generate high-quality and contextually relevant AI outputs
  • Proficiency in working with large-scale datasets and distributed computing frameworks (e.g., Azure Synapse, Apache Spark, Databricks)
  • **Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or CloudFormation

Knowledge of DevOps practices and tools including:**

  • CI/CD pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions)
  • Configuration management tools (e.g., Ansible, Chef, Puppet)
  • Monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack)
  • Version control workflows and GitOps principles
  • **Experience with automated testing and deployment strategies for AI/ML models

Major Job Duties and Responsibilities:**

  • Collaborate with Data Scientists, AI Architect, Cloud Engineering, and cross-functional teams to understand business requirements to design and build end-to-end AI-powered software solutions
  • Implement generative AI technologies to develop innovative solutions for business problems
  • Utilize prompt engineering techniques to generate high-quality AI outputs aligned with the desired context and purpose
  • Conduct experiments and iterate on AI models to optimize their performance and generate valuable insights
  • Collaborate with the team to integrate AI solutions into existing systems and workflows
  • Collaborate with team members to exchange knowledge and stay updated with the latest AI trends and techniques
  • Collaborate with external partners or vendors to explore opportunities for AI technology adoption
  • **Follow best practices in code development, documentation, and version control to ensure maintainable and scalable AI implementations

Tags & focus areas

Used for matching and alerts on DevFound
Contract Ai Ai Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support