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AI/ML Software Engineer

• Posted 2 days ago • Updated 1 day ago

Contract Corp To Corp

Contract Independent

Contract W2

CCS Global Tech

Fitment

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Job Details

Skills

Information Technology
Network
Tier 1
Recruiting
Training
Partnership
Communication
SANS
Privacy
UI
Database QA
User Experience
Analytical Skill
Documentation
Analytics
Scalability
Onboarding
Database
Translation
Forms
Extraction
Proposal Writing
PDF
Presentations
Scripting
Test Cases
Regulatory Compliance
Transcription
Reporting
Robotic Process Automation
Research
Science
Computer Science
Mathematics
Software Engineering
Web Development
SQL
RDBMS
PostgreSQL
Language Models
Open Source
Graph Databases
Neo4j
Apache HTTP Server
Version Control
Git
Docker
Large Language Models (LLMs)
API
Data Structure
Algorithms
Testing
Evaluation
Python
Middleware
Artificial Intelligence
Machine Learning (ML)
Collaboration
Systems Architecture
Workflow
GPU
Oracle Linux
Cloud Computing
Distributed Computing
Thread
Servers
React.js
Microsoft
Interfaces
Data Analysis
Unstructured Data
Natural Language Processing
Data Science
Rust
Programming Languages

Summary

CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.

we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.

We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.

If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.

Roles/Responsibilities:

Year 1

Internal Chatbot Refinement: UI improvements, user history & feedback 240 hours.

Deliverables: Application code + Docker build; user profile & history DB; test cases & privacy/compliance pipeline. "UI improvements, enable user history and feedback "

External Chatbot Development: Initial conversational bot (non-analytical) 480 hours.

Deliverables: Application code + Docker build; conversation DB; test cases & compliance pipeline; UX/agency scoring. "Goal is conversational but not analytical. Must point users to resources "

RPA: Local LLM analysis tools with batching 240 hours.

Deliverables: Application code; integration documentation; usage & process reporting.

Knowledge Retrieval (RAG & Search): Improve vector/hybrid search & case mgmt. integration 520 hours.

Deliverables: Comparative RAG results; agent code/prompts; test pipeline; recommendations for knowledge store updates.

Translation: MD-specific terminology & guidelines 80 hours.

Deliverables: Translation agent code/prompts; test cases & pipeline.

Transcription: Refine deployment based on feedback 160 hours.

Deliverables: Comparative pipeline results; updated code/prompts; test cases & pipeline.

Redaction (PII & Sensitive Data): Build detection agent 240 hours.

Deliverables: Application code; test cases & pipeline for PII/sensitive data identification.

Year 2

Internal Chatbot Refinement: Personalization & workflow integration 160 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

External Chatbot Development: Improvements from feedback 160 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

RPA: Reporting pipelines & analytics; automate tasks 160 hours.

Deliverables: Application code; integration docs; usage & process reporting.

Knowledge Retrieval: Expand case mgmt integration & permission-based indexing - 240 hours.

Deliverables: Comparative RAG results; agent code/prompts; test pipeline; knowledge store recommendations.

Deep Research Capabilities: graphRAG for case statute interaction 520 hours.

Deliverables: Web/file crawler to graph format; agent code/prompts; test pipeline; knowledge store recommendations.

Translation: Quality & accuracy improvements 80 hours.

Deliverables: Translation agent code/prompts; test cases & pipeline.

Transcription: Improve diarization & speaker ID 160 hours.

Deliverables: Transcription agent code/prompts; test cases & pipeline.

Redaction: Accuracy improvements & workflow integration 160 hours.

Deliverables: Application code; test cases & pipeline.

Document Analysis: NLP + graphRAG to reduce token use 320 hours.

Deliverables: Scripts for universal intermediary format; extraction scripts to graph store.

Year 3

Internal Chatbot Refinement: Improvements from feedback 160 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

External Chatbot Development: County-specific deployments & scalability 200 hours.

Deliverables: County data ingestion; agent/bot revisions; onboarding; county-specific test pipeline.

RPA: Case update review & flagging 320 hours.

Deliverables: Application code; integration docs; usage & process reporting.

Knowledge Retrieval: Centralize statutes/ordinances for counties 320 hours.

Deliverables: Document data sources; standardization recommendations; supporting code/database.

Deep Research Capabilities: Combine retrieval + case mgmt for complex research 320 hours.

Deliverables: Agent code/prompts; test pipeline; knowledge store recommendations.

Translation: Expand language support 80 hours.

Deliverables: Translation agent code/prompts; test cases & pipeline.

Transcription: Expand language support 80 hours.

Deliverables: Transcription agent code/prompts; test cases & pipeline.

Document Analysis: Extract structured data from forms 160 hours.

Deliverables: Extraction scripts; standardized process proposal; supporting tools.

Document Generation: Initial PDF generation features 320 hours.

Deliverables: PDF generation scripts; agent code/prompts; test pipeline.

Year 4

Internal Chatbot Refinement: Low-code custom agent builder 320 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

External Chatbot Development: Workflow-integrated chatbot 320 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

RPA: Expand AI-enhanced reporting & automation 200 hours.

Deliverables: Application code; integration docs; usage & process reporting.

Knowledge Retrieval: Finetune embeddings & small LLM 320 hours.

Deliverables: Finetuning scripts; model weights.

Deep Research Capabilities: Limited web access for research 240 hours

Deliverables: Agent code/prompts; test pipeline; knowledge store recommendations.

Transcription: Finetune model for opt-in user voices 240 hours.

Deliverables: Voice finetuning scripts; model weights.

Document Generation: Expand document types & form-filling 320 hours.

Document/presentation generation scripts; agent code/prompts; test pipeline.

Year 5

Internal Chatbot Refinement: Improvements from feedback 160 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

External Chatbot Development: Feature expansion 160 hours.

Deliverables: Application code + Docker build; test cases & compliance pipeline.

RPA: Integrate retrieval & research into workflows (with manual review) 480 hours

Deliverables: Application code; integration docs; usage & process reporting.

Knowledge Retrieval: Open some retrieval capabilities to public bot 320 hours.

Deliverables: Application code; integration docs; usage & process reporting.

Transcription: Integrate into court recording systems 320 hours.

Deliverables: Application code; integration docs; usage & process reporting.

Document Generation: Modify user documents using RPA/retrieval/research 520 hours.

Deliverables: Document-modification agent code/prompts; test pipeline.

Mandatory Skills/Minimum Qualifications:

Bachelor of Science in Engineering, Computer Science, Data Science, or Mathematics, or a related field (as determined by the AOC).
At least three (3) years' experience in data science, machine learning, or applied AI development.
At least three (3) years' experience in software engineering, architecture, or web development.
Experience with:

SQL and relational database systems (e.g., PostgreSQL)
Fine-tuning small language models or embedding models
Contributing to or maintaining open-source software projects
Graph databases or graph extensions (e.g., Neo4j, Apache AGE)
Designing and implementing multi-agent or task-oriented AI systems
Embedding models, vector similarity, re-ranking, and graph retrieval techniques in RAG systems
Version control systems (e.g., Git), containerization technologies (e.g., Docker), and service-oriented architectures
Collaborating with large language models (LLMs), including both API-based integration and local deployment
Validating AI-generated outputs, mitigating hallucinations, and integrating AI tools into production service pipelines

Ability to:

Understand data structures, algorithms, and clean coding principles
Select and apply appropriate techniques (LLM and non-LLM) based on task requirements
Develop and improve testing and evaluation pipelines for AI systems, including use of synthetic data
Demonstrate proficiency in Python, including the ability to develop production grade backend services, APIs, middleware, and data pipelines.
Design and implement AI/ML systems that operate effectively on complex, inconsistent, or evolving datasets while balancing accuracy, latency, and cost (token consumption)
Collaborate with team members to define system architecture, agent workflows, and data pipelines while working in constrained environments, including limited GPU availability and predefined infrastructure

Knowledge of:

Hybrid cloud environments and distributed system considerations
Threading, asynchronous processing, and queues in backend servers
React and Microsoft Teams Toolkit for developing chatbot user interfaces
Non-llm data analysis techniques for structured, semi-structured, and unstructured data
Classical natural language processing (NLP) techniques in addition to LLM-based approaches
Data science and LLM-related libraries in Rust or other performance-oriented programming languages

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10290999
Position Id: 2026-7261
Posted 2 days ago

Company Info

About CCS Global Tech

Headquartered in Poway, California and eight international offices, CCS Global Tech is a Certified Minority Business Enterprise (MBE) and a leading provider of enterprise solutions. We provide solutions that cover the full business spectrum from application development, data warehouse software, real time data warehousing, business analysis software, and web-based application development. Our clients span the globe and benefit from our comprehensive support capabilities.

Our tools and technical expertise have repetitively proven to reduce the time and costs associated with software and custom solution development. CCS Global Tech begins each project with quality analysis and business due diligence in order to deliver quality solutions for our clients. Our team of international talent asks critical questions that illuminate the fine details of the project scope. Once we have a clear and comprehensive view of the objectives sought, we set to work to bring your vision to life.

We have a complementary matrix of skills and talents across multiple platforms that allow us to identify, target and bridge technical gaps. Regardless of the size and scope of your business application, data warehouse initiative, or enterprise-wide project, our team supports service, technical capabilities and cost effective solutions that are unmatched by our competition. We focus on delivering state-of-the-art technology, application development, warehousing and support to our clients. With the scope and flexibility to optimize development schedules and products to fit any budget requirements, CCS Global Tech is aptly positioned to not only meet unique, strategic IT objectives of diverse organization, but also complement organizational goals.

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