[Hiring] AI/ML Software Engineer @Mfinite Consulting LLC

Role Description

Mfinite Consulting is seeking an experienced AI/ML Software Engineer to join our team. The successful candidate will build software tools that incorporate AI/ML techniques to automate tasks, assist internal users, and improve user-facing services. This includes work in RPA, chatbot development, knowledge retrieval, translation, transcription, redaction, document analysis, document generation, agentic coding, and data processing.

• Design and build software systems integrating AI/ML techniques for automation and user assistance.
• Collaborate with team members to define agent architectures, workflows, and system design decisions.
• Evaluate and select appropriate approaches for tasks, including LLM-based and non-LLM techniques.
• Develop and implement testing and evaluation pipelines for AI/ML systems.
• Generate and utilize synthetic data for evaluation and benchmarking.
• Support deployment of AI/ML applications in hybrid cloud environments.
• Work with containerized applications (Docker) for reliable deployment and updates.
• Optimize systems for environments with limited computational resources.
• Document system designs, workflows, and technical decisions.
• Stay informed on advancements in AI/ML and apply them within project constraints.

Sample Deliverables by Year:

• Internal and external chatbot development and refinement
• RPA tools for local LLM analysis and reporting
• Knowledge retrieval improvements (vector/hybrid search, case management integration)
• Translation and transcription agents
• Redaction tools for PII and sensitive data
• Document analysis and generation scripts

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related field

Requirements

• At least 3 years of experience in data science, machine learning, or applied AI development
• At least 3 years of experience in software engineering, architecture, or web development

Preferred Skills and Experience

• SQL and relational database systems (e.g., PostgreSQL)
• Fine-tuning small language models or embedding models
• Open-source software project contributions
• Graph databases (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
• Version control (Git), containerization (Docker), service-oriented architectures
• LLM integration (API-based and local deployment)
• Validating AI-generated outputs and integrating AI tools into production pipelines
• Proficiency in Python for backend services, APIs, middleware, and data pipelines
• Hybrid cloud environments and distributed systems
• Threading, asynchronous processing, and queues in backend servers
• React and Microsoft Teams Toolkit for chatbot UI development
• Classical NLP and LLM-based approaches
• Data science and LLM-related libraries in Rust or other performance-oriented languages

Work Schedule

• Monday through Friday, 8:00AM to 4:30PM Eastern Time
• Flexibility for extended hours, including evenings, weekends, and holidays as needed

Remote Work Policy

• Work is primarily remote within the United States
• Onsite presence required for the first two days and as designated by project needs
• Remote work from outside the United States requires prior approval

Interview Process

• Panel interview (1 hour) via Microsoft Teams or Zoom (camera required)

Application Instructions

Submit your resume, degree/certificate, and references documenting your ability to provide the services specified. Please ensure your application demonstrates your skills, experience, and qualifications relevant to the responsibilities outlined above.

NO 3RD PARTY RECRUITERS!