Matoffo

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

We are looking for a hands-on Mechanical Design Engineer to develop enclosures and physical product designs for interactive robotics and electronic devices.

This role is ideal for an engineer who enjoys turning ideas into real physical products — from early concepts and CAD models to functional prototypes and designs ready for small-batch manufacturing.

You will work on products of different sizes and form factors for both consumer and commercial environments, combining mechanical engineering, industrial design, prototyping, and design for manufacturing.

We highly value a practical engineering mindset and hands-on experience: building prototypes, testing different solutions, identifying mechanical issues, and improving designs through iteration.

What you will do

• Develop enclosure concepts, external styling, and internal layouts that balance appearance, usability, durability, manufacturability, and cost.
• Create parametric 3D CAD models, assemblies, and technical drawings.
• Design mounting features, fasteners, structural elements, and service access.
• Integrate PCBs, displays, microphones, speakers, sensors, cables, and other electronic components into mechanical designs.
• Account for tolerances, ventilation, thermal requirements, cable routing, and assembly constraints.
• Produce and test 3D-printed prototypes.
• Evaluate prototypes and iteratively improve fit, surface finish, stability, durability, and ease of assembly.
• Select appropriate materials and manufacturing processes based on product requirements.
• Adapt designs for repeatable fabrication and small-batch production.
• Apply Design for Manufacturing and Assembly (DFMA) principles.
• Collaborate closely with electronics engineers and fabrication partners to resolve integration and manufacturing issues.
• Maintain CAD revisions and prepare clear manufacturing and assembly documentation.
   

What we are looking for

• A portfolio of physical products, electronic enclosures, robotics, or similar devices that you have personally designed and helped build.
• Strong experience with a parametric CAD tool such as SolidWorks, Fusion 360, Inventor, or Onshape.
• Practical experience with 3D printing and physical prototyping.
• Good understanding of wall thickness, tolerances, part orientation, fastening methods, and material behaviour.
• Experience designing assemblies and integrating electronic components into physical products.
• Understanding of Design for Manufacturing and Assembly (DFMA) principles.
• Ability to combine good industrial design judgement with sound mechanical engineering decisions.
• Ability to troubleshoot physical prototypes and improve designs through practical iteration.
• Strong attention to detail and a proactive, problem-solving mindset.
• Ability to clearly explain and document technical and design decisions.

Formal commercial experience is not the only thing we value. If you have designed and built your own robotics, electronics, consumer devices, enclosures, or other physical products, we would be interested in seeing your work.
 

Nice to have

• Experience with injection moulding.
• CNC machining.
• Silicone moulds or vacuum casting.
• Surface finishing techniques.
• Acoustic enclosure design.
• Thermal enclosure design and ventilation.
• Experience developing compact consumer electronics.
• Experience with robotics or connected devices.
• Experience preparing mechanical designs for small-batch or serial production.

We are looking for an Electronics Hardware Engineer to join the development of interactive robotics and connected devices.

This role is ideal for an engineer who enjoys working hands-on with hardware: building and testing prototypes, integrating electronic components, designing circuits and PCBs, and troubleshooting hardware issues.

You will work with Raspberry Pi, microcontrollers, sensors, displays, audio modules, and other off-the-shelf components, while also designing custom electronic boards when standard solutions are not sufficient.

We highly value a practical engineering mindset. Personal electronics or robotics projects, maker experience, amateur radio, or other strong hands-on electronics experience will be considered a significant advantage.
 

What you will do

• Select and integrate single-board computers, microcontrollers, displays, audio modules, sensors, and other electronic components.
• Work with Raspberry Pi and similar hardware platforms.
• Design electrical schematics and custom PCBs, including carrier boards, interface boards, and power circuits.
• Create PCB layouts using KiCad or comparable EDA tools.
• Develop reliable power distribution and connectivity, including voltage levels, current budgets, protection, and thermal behaviour.
• Assemble, solder, bring up, test, and debug hardware prototypes.
• Troubleshoot hardware using a multimeter, oscilloscope, bench power supply, and logic analyser.
• Work with GPIO, I2C, SPI, UART, USB, and other hardware interfaces.
• Prepare BOMs, fabrication and assembly files, wiring diagrams, and test procedures.
• Coordinate PCB manufacturing and assembly.
• Perform hardware bring-up, debugging, and systematic fault-finding.
• Collaborate with mechanical and software engineers to resolve integration issues.
• Improve hardware reliability, cost efficiency, maintainability, and serviceability.
   

What we are looking for

• Proven hands-on experience building, assembling, and troubleshooting electronic devices.
• Personal or commercial hardware projects that you can explain and demonstrate.
• Strong understanding of analogue and digital circuit fundamentals.
• Experience selecting electronic components and working confidently with datasheets.
• Experience creating schematics and PCB layouts.
• Understanding of footprints, grounding, decoupling, and electrical/design-rule checks.
• Practical experience with Raspberry Pi or similar platforms.
• Experience working with microcontrollers and hardware interfaces such as GPIO, I2C, SPI, UART, and USB.
• Confident soldering skills and basic SMD rework experience.
• Strong troubleshooting and systematic fault-finding skills.
• Ability to write simple test code or scripts to validate hardware functionality.
   

Formal commercial experience is not the only thing we value. If you have built your own electronics, robotics, or connected-device projects, designed PCBs, worked with amateur radio, or have a strong maker background, we would be very interested in hearing from you.
 

Nice to have

• Experience with microphones, speakers, and audio circuits.
• Battery charging and protection circuits.
• ESP32 or STM32.
• Embedded Linux.
• EMC/ESD-aware hardware design.
• Small-batch production experience.
• Experience developing test fixtures.
• Practical experience in robotics, IoT, or connected devices.