Senior AI Engineer (LLM Integration) : Remote Project (Full Time, USC or GC Only)

Hello,

My name is Dharmendra Tiwari. I just received details on a great job that I believe you would be a great fit for. Please take a look below and share your interest. If not interested, I would also appreciate it if you can recommend someone looking for a similar role.

Role Title: Senior AI Engineer (LLM Integration)

Location: Remote Project

Duration: Long Term

Interview: Webex

Job Type: Full Time

Job Description-

• Key in on “Experience applying AI/ML or LLMs in real products (not just playground demos)”.
• Evaluate and deploy LLMs, embeddings, and other AI tools to solve real business problems
• Collaborate cross-functionally with engineers, designers, and product managers to align on goals and execution
• Own projects from prototype to production-including testing, deployment, and monitoring
• Guide architectural decisions around integrating AI systems into core product infrastructure
• Share best practices, mentor engineers, and stay current with the evolving AI ecosystem
• Think critically about when and how to use AI-prioritizing real value over buzzword appeal
• You’ll lead initiatives that apply LLMs to tailor user experiences in a fast-moving SaaS environment.
• From identifying personalization opportunities to building prototypes with techniques like RAG or fine-tuning
• You’ll turn complex AI capabilities into intuitive product features.
• Working closely with cross-functional teams, you’ll ensure the solutions you build are reliable, performant, and meaningfully enhance the user journey.

What You Bring:-

• 7 14 years of experience building full stack web applications
• Fluency in modern JavaScript/TypeScript and Python, with deep understanding of production systems
• Proven history of independently delivering full features-backend to frontend
• Experience applying AI/ML or LLMs in real products (not just playground demos)
• Strong communication skills and the ability to operate in a fast-moving, ambiguity-rich environment
• Comfortable balancing technical depth with business tradeoffs
• Bonus: exposure to vector databases, fine-tuning workflows, or AI infrastructure tools
• Masters/PHD in CS required