Specialty Software Engineer

Overview

On Site
USD 81.00 - 87.00 per hour
Full Time

Skills

FOCUS
Productivity
Regulatory Compliance
Mentorship
Collaboration
Software Engineering
Generative Artificial Intelligence (AI)
IT Management
Python
Java
C#
Docker
Cloud Computing
Google Cloud Platform
Google Cloud
Microsoft Azure
HTML
Software Development Methodology
Orchestration
Testing
Analytical Skill
Conflict Resolution
Problem Solving
LangChain
Autogen
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Artificial Intelligence
Cyber Security
Privacy
Marketing

Job Details

Location: San Francisco, CA
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description: Lead Software Engineer - GenAI & Cybersecurity (Hybrid)

Locations: San Francisco, CA
Work Type: Hybrid (3 days onsite / 2 days remote)
Employment Type: 6-Month Contract-to-Hire
About the Role

We are seeking a highly experienced Lead Software Engineer with deep expertise in Generative AI (GenAI) and Cybersecurity to join our dynamic team. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment and is passionate about building intelligent, secure, and scalable systems.

You will lead the design and development of AI-driven services, integrating cutting-edge foundation models (e.g., Gemini, Llama, GPT-4) into secure enterprise environments. You'll collaborate across engineering, security, and platform teams to deliver resilient, production-grade solutions.
Key Responsibilities
  • Lead the design, development, and deployment of intelligent services using GenAI and modern software engineering practices.
  • Build and orchestrate services using Python, Java, or C#, with a focus on containerized cloud environments (Google Cloud Platform preferred, Azure acceptable).
  • Integrate and operationalize LLMs and agentic AI frameworks (e.g., LangChain, AutoGen).
  • Drive automation and productivity improvements using foundation models.
  • Ensure code quality, maintainability, and security compliance across the SDLC.
  • Mentor junior engineers and collaborate with cross-functional teams to meet business and risk objectives.
  • Partner with IAM and cybersecurity teams to deliver secure, scalable solutions.
Required Qualifications
  • 10+ years of total software engineering experience.
  • 5+ years of hands-on experience with Generative AI, including recent work with LLMs.
  • 3+ years in a technical leadership role.
  • Proficiency in Python, Java, or C# for service development.
  • Experience with containerization (Docker) and cloud platforms (Google Cloud Platform preferred, Azure acceptable).
  • Familiarity with HTML, SDLC, and service orchestration/testing.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience with agentic AI frameworks such as LangChain, LangGraph, or AutoGen.
  • Familiarity with ML libraries: TensorFlow, PyTorch, scikit-learn, DL4J, or H2O.ai.
  • Background in Cybersecurity or IAM systems.

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