Gen AI Software Engineer

Overview

On Site
USD 79.00 - 85.00 per hour
Full Time

Skills

FOCUS
IaaS
Collaboration
Regulatory Compliance
Innovation
Generative Artificial Intelligence (AI)
Vector Databases
Artificial Intelligence
Deep Learning
Natural Language Processing
NLTK
TensorFlow
Keras
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Development Testing
Amazon SageMaker
Big Data
Apache Spark
Apache Kafka
Apache Hadoop
Data Science
Pandas
scikit-learn
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Programming Languages
Python
Java
Scala
R
Shell Scripting
MongoDB
ATLAS
NoSQL
Apache HBase
Apache Cassandra
Redis
SQL
PostgreSQL
MySQL
DevOps
Docker
Kubernetes
Ansible
Terraform
Git
Linux
Microsoft
Dynamics
Software Engineering
Military
Performance Tuning
Database
Mentorship
Privacy
Marketing

Job Details

Location: Concord, CA
Salary: $79.00 USD Hourly - $85.00 USD Hourly
Description:
Job Title: Software Engineer - AI/ML & Distributed Systems (Contingent Assignment)
Location: Concord, CA (Hybrid/On-site)
Job Type: Contingent Resource Assignment
About the Role

We are seeking a highly skilled Software Engineer to support complex, large-scale software engineering initiatives with a focus on AI/ML, distributed systems, and cloud infrastructure. In this role, you will consult on strategic projects, analyze multifaceted technical challenges, and collaborate with cross-functional teams to deliver scalable, high-impact solutions.
Responsibilities
  • Lead and consult on large-scale software engineering initiatives with broad technical and business impact.
  • Analyze and resolve complex engineering challenges involving novel or unprecedented factors.
  • Design, develop, and deploy scalable AI/ML solutions using modern frameworks and cloud platforms.
  • Collaborate with stakeholders to ensure alignment with compliance, policy, and delivery requirements.
  • Mentor and guide engineering teams to drive technical excellence and innovation.
  • Optimize performance and reliability of distributed systems and applications.
Technical Expertise
  • Generative AI: LLMs, vector databases, embedding models, vector search, Retrieval-Augmented Generation (RAG)
  • AI/ML: Machine Learning, Deep Learning, NLP (spaCy, NLTK), Scikit-learn, TensorFlow, Keras, Spark ML
  • MLOps: Model development, testing, deployment using AWS SageMaker, Ray
  • Big Data & Distributed Systems: Apache Spark, Kafka, Hadoop, HBase, Cassandra
  • Data Science: Python ecosystem (Pandas, Scikit-learn, etc.)
  • Cloud Platforms: AWS, Google Cloud Platform (Google Cloud Platform), Microsoft Azure
  • Programming Languages: Python, Java, Scala, R, Shell scripting
  • Datastores: Vector stores (MongoDB Atlas, Milvus), NoSQL (HBase, Cassandra, Redis), SQL (PostgreSQL, MySQL)
  • DevOps & Tooling: Docker, Kubernetes, Ansible, Terraform, Git, Linux
  • Microsoft Ecosystem: Copilot Studio, Power Platform, Dynamics 365
Minimum Qualifications
  • 5+ years of experience in Software Engineering or equivalent experience through a combination of work, consulting, military service, or education.
  • Proven experience building and optimizing scalable distributed systems.
  • Strong background in performance tuning of applications and databases.
  • Demonstrated ability to lead and mentor engineering teams.

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