AI engineer

Job Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->

Job Overview

Job ID: J53185

Posted Date: 02/03/2026

--> Specialized Area: other

--> Job Title: AI engineer

Location: Sunnyvale, TX

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Domain Exposure: IT/Software

--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C Bench Recruiter: Blessy roy

-->

View All Jobs Similar Jobs

Embedded Software Engineer - Alpharetta, GA

Embedded Software Engineer - sanfransico, CA

Quality Assurance Engineer - Cincinnati, OH

AI engineer - chicago, IL

AI engineer - dallas, TX

Job Description -->

JD:

Key Responsibilities

Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.

Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.

Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.

Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.

Write clean, maintainable code and build reusable modules to streamline future deployments.

Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.

Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.

Required Qualifications

10+ years of experience in software engineering or solutions engineering , ideally in a customer-facing capacity.

Proven expertise in Python , Langchain , LangGraph , and SQL .

Deep experience with engineering architecture , including APIs, microservices, and event-driven systems

Demonstrated success in designing and deploying GenAI applications into production environments

Strong proficiency with cloud services such as AWS , GCP , and/or Azure .

Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.

Comfortable working autonomously and managing multiple deployment tracks in parallel.

Preferred Qualifications

• Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).

• Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI /ML operations.

• Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.

• Apply Now