Senior AI Engineer

Infinite Computer Solutions; Sunnyvale (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading AI consulting firm in Sunnyvale, CA is seeking a Mid-Senior level Artificial Intelligence Engineer with expertise in Generative AI and Python. The role demands collaboration with clients to identify AI opportunities, design tailored solutions, and ensure effective project delivery. Ideal candidates have over 10 years of experience in software or ML engineering and possess strong communication skills. This full-time position is based onsite in Sunnyvale.

Qualifications

• 10+ years of experience in software engineering, ML engineering, or technical consulting.
• Strong hands-on experience with Python and modern AI/ML frameworks.
• Deep understanding of generative AI concepts, including LLMs and prompt engineering.

Responsibilities

• Collaborate with clients to uncover root business challenges.
• Design and implement generative AI solutions using Python.
• Lead the end-to-end delivery of client projects.

Skills

Python

Generative AI

ML Engineering

Communication skills

Solution architecture

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Hugging Face

LangChain

OpenAI

AWS

Azure

GCP

MLOps tools

Job description

Location: Sunnyvale, CA (Onsite Mon - Fri)

Job Type: Full-time with Infinite Computer Solution

Overview

We are seeking expertise in Generative AI and Python to work directly with enterprise clients. In this highly technical and consultative role, you will help customers identify high-impact generative AI opportunities, design tailored solutions, and implement them using our enterprise AI platform. You’ll serve as a trusted advisor, hands-on engineer, and delivery lead — driving real-world AI adoption from ideation to production.

Responsibilities

• Client Engagement & Business Discovery: Collaborate with clients to uncover root business challenges and identify high-value generative AI use cases; translate business needs into technical requirements and solution architectures; educate clients on the capabilities and best practices of our AI platform and the broader generative AI ecosystem.
• Solution Design & Delivery: Design and implement generative AI solutions using Python, LLMs, and platform APIs; develop prompt engineering strategies, RAG pipelines, and fine-tuning workflows; directly implement change requests and customizations into the platform to meet client-specific needs.
• Project Execution: Lead the end-to-end delivery of client projects — from discovery and prototyping to deployment and iteration; collaborate with internal product and engineering teams to escalate issues and influence roadmap priorities; ensure timely, high-quality delivery of solutions that meet both technical and business requirements.
• Technical Leadership: Stay current with the latest advancements in generative AI (e.g., LLMs, diffusion models, vector databases); contribute to internal knowledge sharing and reusable solution patterns; help shape the evolution of the platform based on real-world client feedback.

Qualifications

• 10+ years of experience in software engineering, ML engineering, or technical consulting.
• Strong hands-on experience with Python and modern AI/ML frameworks (e.g., Hugging Face, LangChain, OpenAI, etc.).
• Deep understanding of generative AI concepts, including LLMs, prompt engineering, embeddings, and fine-tuning.
• Proven ability to discover business needs and translate them into scalable technical solutions.
• Strong communication and interpersonal skills — able to engage with both technical and non-technical stakeholders.
• Experience delivering projects in fast-paced, client-facing environments.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice to Have

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Knowledge of data privacy, security, and compliance in AI applications.
• Prior experience in a startup or high-growth environment.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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