AI Engineer
- Fixity Technologies
2 Days Ago
80-90 per Hourly
W2
Concord-CA
9-15 Years
Required Skills: AI, ML, Python, LLM, API design
Job Description
Seeking a Forward-Deployed AI Engineer to support the design, development, and deployment of enterprise-scale Artificial Intelligence solutions. This role sits at the intersection of advanced AI platforms, enterprise technology, and business problem-solving. The engineer will work closely with business partners, product teams, and engineering organizations to translate complex and often ambiguous requirements into secure, scalable, and production-ready AI solutions that deliver measurable business outcomes. This is a hands-on, customer-embedded engineering role that requires strong technical depth, a product-oriented mindset, and the ability to operate effectively in a regulated enterprise environment.
Required Qualifications
· 7+ years of software engineering experience, including designing and delivering production-grade systems.
· 7 + experience with API design, integration, and distributed systems in an enterprise environment.
· 2+ Years of Hands-on experience building and integrating AI or ML-powered applications, including experience with large language models (LLMs).
· 2+ Years of experience in Python programming language.
Desired Qualifications
· Demonstrated ability to translate ambiguous business requirements into well-architected technical solutions.
· Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.
· Experience working with AI platforms and services such as OpenAI, Anthropic, or similar technologies.
· Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, or internal workflow systems.
· Familiarity with enterprise security, privacy, governance, and risk management practices, particularly in regulated industries.
· Experience delivering solutions in large, matrixed organizations with multiple stakeholders.
· A product-minded approach with a focus on user experience, business value, and operational impact.
