Senior Technical Developer

$15-25 USD / hour

Closed

Posted 7 days ago

$15-25 USD / hour

MiraModo Inc. Prepared: August 2026 Senior Technical Developer MiraModo Inc. • Product: Insara • Remote • Contract Company Overview MiraModo Inc. (Houston, TX, founded 2024) builds Insara, a project controls platform for capital construction. Insara replaces the spreadsheet-and-email toolchain that dominates megaproject oversight with a single system for earned value management, schedule analysis, field progress tracking, cost forecasting, and change management. The platform is production-live with active enterprise deployments on major capital programs. It directly informs decisions worth millions of dollars, so data accuracy and reliability are table stakes. We're also building our own ML infrastructure: a custom fine-tuned LLM for construction project controls and a custom voice pipeline for field-facing AI interaction. The Role Title Senior Technical Developer (Contract) Commitment 25–40 hours / week Location Remote (global). US Central/Eastern timezone overlap required. Scope Full-stack development + ML/AI infrastructure Reports to Founder (direct collaboration, no management layers) You'll be the founder's primary implementation partner, working directly in a production codebase that serves enterprise clients. The founder handles product direction, AI architecture, and client relationships. You own the building. Growth Path • Months 1–2 (Guided): Founder specs tasks. You design, implement, and submit PRs for review. • Months 3–4 (Semi-Autonomous): You take broader briefs, propose architecture, handle production issues with less oversight. • Months 5+ (Trusted Partner): You independently scope and deliver features and provide input on technical direction. Technical Requirements Detailed architecture and system documentation provided to selected candidates under NDA. Core Stack TypeScript (strict) - 3+ years production; generics, discriminated unions, type inference - Required Python - Production proficiency for ML pipelines, training, evaluation - Required React (latest) - Hooks, server components, component architecture; shipped production apps - Required [login to view URL] App Router - Server vs. client components, route handlers, middleware - Required PostgreSQL (raw SQL) - Complex queries, CTEs, window functions, schema design, migrations; no ORM - Required Type-safe APIs - End-to-end type safety between client and server (e.g. tRPC) - Required Git workflow - Clean commits, PR-based development, code review discipline - Required UI & Visualization Tailwind CSS - Utility-first CSS, responsive, data-dense layouts - Preferred Component libraries - Headless / unstyled component primitives (e.g. Radix) - Preferred Data visualization - Charting libraries, dashboards, S-curve and trend charts - Preferred Report generation - PDF, Excel, Word, PowerPoint export - Preferred ML / AI Infrastructure PyTorch & Hugging Face - Model fine-tuning, PEFT/LoRA, Transformers library - Preferred Voice / speech ML - STT, TTS, end-to-end voice pipeline development - Preferred GPU infrastructure - Self-hosted GPU servers, CUDA, resource monitoring - Preferred Inference serving - High-throughput model serving, quantization, optimization - Preferred Evaluation - Standard and custom domain-specific evaluation harnesses - Preferred Infrastructure & DevOps Docker - Containerization, multi-stage builds, compose - Preferred CI/CD pipelines - Automated build, test, security scan, deployment workflows - Preferred Self-hosted deployment - VPS-based hosting, container orchestration, monitoring - Bonus Testing - Unit and integration testing frameworks - Preferred Note: Strong TypeScript + strong ML is a rare combination. A candidate with solid TS/React/SQL fundamentals and a demonstrated ML learning trajectory (personal projects, coursework, fine-tuning experiments) is an excellent fit. Aptitude and drive matter more than arriving with deep ML expertise. Domain: Construction Project Controls The professional domain is capital construction project controls: measuring, forecasting, and managing cost and schedule performance on large construction programs. You don't need prior domain experience, but you must be willing to learn it. Concepts Earned Value Management - Industry-standard methodology for measuring project performance by comparing planned work, completed work, and actual cost. Schedule Analysis - Critical path analysis, schedule forecasting, delay identification, forensic scheduling. Field Progress Measurement - Objective methods for quantifying physical completion using predefined measurement criteria. Cost Management - Budgeting, cost tracking, forecasting, variance analysis, S-curve trend visualization. Change Management - Scope change tracking, information requests, deficiency management and their impact on cost/schedule. Work Packaging - Organizing construction activities into executable packages across engineering, procurement, and construction. Each concept maps directly to platform features. Domain knowledge is trained during onboarding with documentation, guided tasks, and founder mentorship. Working Model Hours - 25–40 hrs/week (close to full-time expected) Timezone - Global candidates welcome; must overlap US Central/Eastern daytime (~9 AM to 5 PM CT) Communication - Async daily (Slack/Discord) + video calls as needed for architecture discussions Code workflow - Feature branch ? PR ? founder review ? merge ? automated deployment Tooling - AI-assisted IDE, GitHub, Docker, PostgreSQL client Ramp-Up Milestones 30 Days - Environment running. - 5–8 PRs merged. - Can trace data from database to UI. - Basic domain familiarity. 60 Days - Independently implementing features. - Writing SQL migrations confidently. - Handling production bugs. - First ML fine-tuning experiments. 90 Days - Decomposing feature briefs into tasks. - Proposing architecture. - Full-stack comfort. - Contributing to voice pipeline and ML infrastructure. Candidate Profile Must-Have Attributes • 3+ years production TypeScript/[removed] strict mode, generics, type inference • Python proficiency for ML pipeline work (training, evaluation, data prep) • Production React experience. Must have shipped and maintained real applications. • [login to view URL] App Router understanding (server components, route handlers, middleware) • SQL fluency with raw PostgreSQL; no ORM dependency • Experience with (or strong interest in) LLM fine-tuning and ML infrastructure • Clean Git workflow and PR-based development discipline • Clear written English for code review, docs, and occasional client communication • Can learn independently across a specialized domain and fast-moving ML engineering Differentiating Attributes • Hands-on PyTorch / Hugging Face model fine-tuning • GPU infrastructure management (provisioning, CUDA, monitoring) • Voice/speech ML: STT, TTS, or voice pipeline development • Inference optimization (quantization, high-throughput serving) • Data visualization and chart-heavy dashboard development • Docker, CI/CD, and container-based deployment • Construction, engineering, or industrial domain exposure What We Offer • Direct impact: Your code serves live clients on active capital programs • Production ML: Fine-tune LLMs, build voice pipelines, manage inference. Real systems, not demos. • Domain depth: Learn a specialized, high-value field most developers never touch • Growth path: From guided implementation to trusted technical partner • Modern stack: Current tools applied to real problems, not CRUD apps • Founder-direct: No management layers, no ticket theater How to Apply 1. Brief introduction (2–3 paragraphs): Who you are, why this role interests you, relevant experience. 2. Links to your work: GitHub, portfolio, or production application examples. 3. Availability: Weekly hours, timezone, earliest start date, rate expectations. Screening Questions SQL Question (required, 4–8 sentences): You have a PostgreSQL table work_items (id, category_id, discipline, budgeted_hours) and a table progress_entries (id, work_item_id, milestone_index, completed_at, credit_percent). Write a SQL query that calculates total earned hours per discipline for a given category_id. Explain your approach. ML Question (optional, 4–8 sentences): You are fine-tuning an LLM for a specialized technical domain where the base model frequently produces incorrect terminology. Describe your approach: training data preparation, fine-tuning strategy, and how you would evaluate whether the model has measurably improved. Selected candidates will receive detailed technical documentation under NDA during onboarding. Insara is where full-stack engineering meets ML infrastructure meets a specialized domain that actually matters. We're building our own LLM and voice AI, not just wrapping APIs. If that sounds interesting, we want to hear from you. Construction and ML are both learnable. What isn't optional is caring about getting it right.

Project ID: 40670520

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151 freelancers are bidding on average $25 USD/hour for this job

@denisSolution

Hi, I'm Denis, a full-stack developer with experience building production systems that combine AI infrastructure with real-time data workflows. Your focus on earned value management, schedule analysis, and custom ML pipelines aligns well with work I've done integrating TypeScript backends with Python-based data processing and visualization dashboards. I understand the need for end-to-end type safety between client and server, strict PostgreSQL queries for financial calculations, and the careful deployment of fine-tuned LLMs in production environments. My approach would prioritize clean architecture that scales from MVP to enterprise, with particular attention to data accuracy and reliability—critical for systems handling million-dollar decisions. For the ML side, I'd focus on creating efficient fine-tuning workflows that maintain inference quality while managing GPU resources responsibly. The voice pipeline work would follow similar optimization principles, ensuring low-latency interactions in field environments. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

$15 USD in 40 days

5.0

(34 reviews)

6.2

@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand the critical importance of data accuracy and reliability in a project like Insara by MiraModo Inc. As a Senior Technical Developer, my background in scaling systems for over 1 million users and working on high-security FinTech projects directly applies to the challenges of developing a platform for earned value management, schedule analysis, and AI infrastructure in a construction context. One strategic insight I can offer is the importance of end-to-end type safety in ensuring the reliability and scalability of the platform. Drawing from my experience in building Telegram Mini Apps for a large user base, I know the impact that a robust type-safe API can have on overall system performance. I encourage you to reach out so we can discuss how I can contribute to the success of Insara. Let's collaborate on designing and implementing features, ensuring data accuracy, and fine-tuning ML models to meet the unique needs of your project. I look forward to the opportunity to work together on this cutting-edge endeavor.

$20 USD in 15 days

5.0

(9 reviews)

6.4

@gutibs

Hi! This is something we can definitely take on — the stack aligns well and the ML side is right in our lane. One thing worth clarifying before we go further: the post is structured as a role (contract hire, 25–40 hrs/week, ramp-up milestones, growth path) rather than a scoped project. Are you looking for a dedicated individual contractor to embed long-term, or would a small team taking on defined deliverables also work for you? That changes how we'd propose the engagement. On the SQL question: to calculate earned hours per discipline for a given category_id, I'd join work_items and progress_entries, filter by category_id, and aggregate — something like `SUM(wi.budgeted_hours * pe.credit_percent / 100.0)` grouped by discipline, using a CTE to keep it readable. If multiple progress entries exist per work item, I'd handle deduplication or summation depending on whether milestones are cumulative or additive — worth confirming in the schema docs. Happy to go deeper on the ML question or walk through how we'd approach the voice pipeline once we know which engagement model fits better. Gustavo & the DoTheCode team

$27 USD in 29 days

5.0

(8 reviews)

6.0

@juanestebana17

Hello! @Project@ I understand you need a Senior Technical Developer to contribute to MiraModo's Insara platform, blending full-stack development with ML infrastructure. @Why I'm a good fit@ I have extensive experience with TypeScript, React, and PostgreSQL, ensuring robust and scalable solutions. My background includes working with AI pipelines using Python and PyTorch, fine-tuning models with Hugging Face, and managing ML infrastructure, aligning perfectly with your needs. I’ve spent the last several years solving complex software and ML challenges, especially in construction and industrial domains, making me well-prepared to learn your domain-specific concepts. I am ready to start working immediately. Thanks!

$25 USD in 18 days

5.0

(3 reviews)

5.3

@abdf2010

Hi, I am a professional web developer and I can do this project "Senior Technical Developer", I have 5 years of experience in web development. I have done many projects like this. I can do this job for you. I can start right now. Please contact me. Thanks

$15 USD in 2 days

4.9

(3 reviews)

4.4

@venplura

Hi there, I'm drawn to this role because you're not building another SaaS layer—you're replacing spreadsheet chaos with systems that directly affect multimillion-dollar decisions. That's a different class of problem, and it requires precision in both the code and the domain understanding. I have five years shipping production TypeScript and React, including two years working with raw PostgreSQL on data-dense dashboards where correctness in queries directly impacts user decisions. More recently, I've been focused on ML infrastructure: fine-tuning models on domain-specific data with PyTorch and Hugging Face, managing GPU resources, and optimizing inference pipelines. I haven't worked in construction project controls specifically, but I've learned adjacent industrial domains quickly and I approach domain knowledge as part of the craft. One thing that stands out: your voice pipeline is a genuine technical bet. Most teams outsource STT/TTS. You're building it in-house, which means inference latency and accuracy directly affect field usability. That's where architecture decisions in preprocessing, model serving, and error handling matter early. How far along is the voice pipeline? That would shape how I'd prioritize the first 30 days between backend features and infrastructure work. kind regards, Corné

$15 USD in 40 days

5.0

(1 review)

3.6

@carlosv116

Hi. I have extensive experience successfully leading full-stack development projects with a focus on ML infrastructure, making me confident in my ability to execute this role effectively. The project description is well-defined, but it’s crucial to clarify specifics regarding the expected collaboration dynamics and feature prioritization during the initial months. I will approach the project by establishing a robust architecture from the start, ensuring type-safe APIs, and maintaining a clean Git workflow for efficient collaboration. My extensive background with TypeScript, Python, and React, combined with my eagerness to learn about construction project management, aligns perfectly with your requirements. As we progress, what are the key success metrics you envision for the first few months? Carlos

$25 USD in 40 days

5.0

(4 reviews)

3.4

@cuyodigital

:) Hello, I'm Ricardo from Buenos Aires. :) What you have is not a stack problem, it's a reliability problem. Insara runs live for enterprise clients, so every feature, query and ML step must behave predictably or the whole workflow breaks. First I work inside your TS/React/Next/Postgres codebase with clean PRs, then I support ML pipelines in Python, and as trust grows I take broader briefs, propose architecture and handle production issues without slowing the founder down. Straight answer – if you want someone who only does CRUD, I'm not right. If you want a disciplined partner who can learn your domain fast and ship reliably, I'm your guy. Do you prefer early tasks focused on SQL-heavy features or UI flows? I can walk through a sample PR structure before you decide anything. Free, no commitment

$17 USD in 40 days

5.0

(2 reviews)

3.0

@rofeald

Hello, With 9 years of experience in Python, Docker, and Data Visualization, I am well-equipped to tackle the technical requirements of your Senior Technical Developer role at MiraModo Inc. I understand the importance of accuracy and reliability in data management and am ready to provide a professional solution tailored to your project needs. I would like to connect with you in chat to discuss the project further and explore how my expertise aligns with your requirements. Your detailed technical documentation will be invaluable in ensuring a seamless collaboration. Looking forward to delving deeper into your project and how I can contribute to its success. Best regards.

$20 USD in 40 days

5.0

(1 review)

2.4

@michaeltorresos9

Hello! I am excited to offer my expertise for the Senior Technical Developer role at MiraModo Inc. Having spent several years working with full-stack development, TypeScript, Python, and ML infrastructure, I bring a comprehensive skill set perfectly aligned with your needs. I understand the critical role accurate data management and robust ML pipelines play in enterprise-grade project controls. I will systematically set up your environment, implement features with clear documentation, and handle production issues efficiently. My experience with TypeScript, React, PostgreSQL, and ML frameworks like PyTorch will ensure seamless integration of your platform's components, from frontend UI to backend ML infrastructure. I am committed to learning the construction domain thoroughly to contribute meaningfully to your innovative platform. Thanks!

$25 USD in 37 days

5.0

(1 review)

2.0

@amadorjay

Hi there, The real challenge here is ensuring data accuracy and reliability in a complex system for capital construction management. With your focus on earned value management and schedule analysis, it’s essential to have a robust Python-based ML pipeline to process and fine-tune models relevant to this domain. I can implement features using TypeScript and React while also developing the AI infrastructure for your specialized LLM. Understanding the project's nuances will be critical, particularly in terms of the SQL queries needed for accurate reporting and insights. What specific features are you looking to prioritize in the first few phases? Looking forward to discussing the details in chat.

$20 USD in 40 days

5.0

(1 review)

1.9

@longngoc2307

==== Hi - Truong here ==== "FULL-STACK DEVELOPMENT + ML/AI INFRASTRUCTURE" — you need someone who can work safely inside a live product while growing into the ML side. I’d keep the production path disciplined: typed feature work, raw PostgreSQL queries, small PRs, tests, and review before deployment. For the ML work, I’d treat data preparation and evaluation as first-class pieces rather than fine-tuning without measurable checks. For your SQL screen, I’d aggregate progress credits against each work item’s budgeted hours, filtered by category, while preserving discipline-level totals. I can also work within the 25–40 hour weekly commitment and your required US Central/Eastern overlap. Could you share the first production feature you expect this developer to own after onboarding? Looking forward to working with you.

$20 USD in 40 days

5.0

(1 review)

2.0

@jeanpatrickr8

Hello! I’m excited about the opportunity to contribute to MiraModo Inc. as a Senior Technical Developer. Your project, Insara, stands out for its innovative approach to transforming capital construction project oversight, and I’m eager to bring my skills to help enhance its capabilities. With over three years of production experience in TypeScript, Python, and React, I have successfully built and maintained complex applications that require precise data management and user interface design. My proficiency in PostgreSQL and my understanding of AI/ML infrastructure align well with your needs, especially in developing robust solutions for earned value management and schedule analysis. To ensure the successful development of Insara, I propose the following approach: - Collaborate closely with the founder to understand the product vision and architectural needs. - Begin with setting up the environment and implementing foundational features, ensuring clean Git practices. - Gradually take on broader responsibilities, including handling production issues and contributing to ML infrastructure. - Focus on creating a seamless user experience through responsive design and efficient data visualization. I am eager to start this journey and confident in delivering high-quality results that align with your goals. I am available to discuss this further and can start immediately. Thank you for considering my proposal!

$15 USD in 40 days

5.0

(1 review)

1.0

@edgardop86

Hello, for the custom fine-tuned LLM, are you focused more on model fine-tuning or the full voice pipeline development? I can deliver robust ML infrastructure and full-stack solutions, having built end-to-end LLM features for TryReplify. My experience ensures we can meet your technical requirements for Insara. Happy to discuss your goals further.

$15 USD in 40 days

0.0

(0 reviews)

0.0

@SidUSA

Hi We are available to take this on and get your Outlook add-in working perfectly. The main issue with partially built manifests is usually the version overrides or resource IDs not lining up for meeting windows specifically. Are you planning to use the newer Office JS Mailbox 1.13 requirement set for better desktop compatibility and do you want the form data appended as a clean table or plain text in the meeting body? We recently fixed a similar Office 365 add-in for a logistics firm that needed custom metadata injected into appointment bodies. We used the Office JS API to hook into the ItemCompose event and built a React based form that validated inputs before using the setBodyAsync method to update the calendar invite. We corrected their manifest XML structure to ensure the icon actually showed up in the ribbon across Mac and Web. Our fix stopped their meeting data from being lost during sync and made the whole scheduling process way faster for their team. We are eager to discuss the project further. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

$40 USD in 40 days

0.0

(0 reviews)

0.0

@andrem939

Hi there, I am an experienced Full Stack Software Engineer with a strong background in TypeScript, Python, and React. My expertise in building scalable applications and integrating AI solutions makes me a great fit for this role, ensuring the successful development of Insara. The Insara project is crucial for streamlining capital construction management through accurate data handling and advanced ML capabilities. I suggest leveraging TypeScript for robust front-end development, Python for ML pipelines, and PostgreSQL for reliable data management. My focus will be on delivering clean, maintainable code, ensuring the platform meets enterprise needs effectively. Please send a message so we can discuss the details further. Looking forward to working with you. Thank you, Andre

$20 USD in 40 days

0.0

(0 reviews)

0.0

@Abdullahcoco

Hi, I have extensive experience in full-stack development and ML/AI infrastructure, with a strong focus on TypeScript, Python, React, and PostgreSQL. I have successfully implemented complex systems similar to Insara, ensuring data accuracy and reliability in high-stakes environments. My unique strength lies in my strategic thinking and outcome-focused approach, allowing me to deliver results quickly and efficiently. I am responsive, timezone-flexible, and committed to exceeding expectations. I am confident in my ability to tackle the challenges presented by Insara and am open to discussing how we can work together to achieve your goals. Let's chat further to explore how I can contribute to the success of your project. Best regards, Abdullah

$20 USD in 40 days

0.0

(1 review)

0.0

@richardb063

ML screening answer For domain fine-tuning, I’d first build a clean dataset from authoritative construction/project-controls material and normalize terminology while preserving realistic task formats. I’d establish a base-model evaluation set before training, including terminology accuracy, factual correctness, structured calculations, and domain-specific failure cases. I’d generally start with PEFT/LoRA rather than full fine-tuning, iterate on data quality and sampling, and keep validation data isolated. After training, I’d compare the tuned and base models on the same frozen evaluation set using automated metrics plus domain-specific rubric evaluation, with particular attention to terminology hallucinations and whether improvements introduce regressions elsewhere. I’d like to win this opportunity and I’m confident I can contribute effectively from production feature work through SQL-heavy analytics and progressively deeper ML/voice infrastructure responsibilities.

$20 USD in 40 days