Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 170 days ago

Python / AI Solutions Full-Stack Developer

Total Performance Consulting6 open roles

Where
Manila, Philippines
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPython / AI Solutions Full-Stack DeveloperTotal Performance Consulting · Manila, Philippines

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Total Performance Consulting's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Total Performance Consulting postings stay open a median of 32 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 170 days ago

Total Performance Consulting median: 32 days open

The posting

Role Overview

We are looking for a creative, hands-on Python / AI Solutions Full-Stack Developer to help design, build, and deploy AI-powered solutions for customers. This person will work across the full delivery lifecycle: understanding customer needs, designing technical approaches, building Python services and full-stack applications, integrating with third-party systems, and delivering reliable solutions that create measurable business value.

The ideal candidate is comfortable moving quickly in a small team, thinking creatively through ambiguous problems, and connecting AI capabilities with real-world systems through APIs, MCP, data workflows, and modern application development.

Key Responsibilities

  • Design, develop, and deploy Python-based AI applications, automation workflows, and customer-specific software solutions.
  • Build full-stack applications, including backend services, frontend interfaces, databases, authentication flows, and deployment pipelines.
  • Create, consume, and maintain APIs, including REST, GraphQL, webhooks, SDK-based integrations, and enterprise authentication patterns such as OAuth.
  • Develop and integrate Model Context Protocol (MCP) servers, tools, resources, and client workflows that connect AI systems with external applications and data sources.
  • Translate customer requirements into practical technical designs, prototypes, proofs of concept, and production-ready implementations.
  • Integrate AI solutions with customer systems such as CRMs, ERPs, ticketing platforms, data warehouses, collaboration tools, and custom internal applications.
  • Work with LLMs, agentic workflows, retrieval-augmented generation, structured outputs, prompt orchestration, and evaluation approaches where appropriate.
  • Collaborate closely with product, engineering, customer success, and leadership in a small-team environment where ownership and flexibility matter.
  • Write clean, maintainable, well-tested code and contribute to reusable components, integration patterns, and internal technical standards.
  • Participate in customer demos, technical discovery conversations, solution reviews, and post-deployment support as needed.

Required Qualifications

  • Strong professional experience with Python and modern backend frameworks such as FastAPI, Flask, or Django.
  • Full-stack development experience, including JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, or similar.
  • Proficiency designing and integrating APIs, including authentication, authorization, pagination, rate limits, error handling, and observability.
  • Hands-on experience with MCP or comparable tool/plugin protocols used to connect AI assistants, agents, and applications to external systems.
  • Experience building AI-enabled applications using LLM APIs, orchestration frameworks, vector databases, RAG patterns, or agent-based workflows.
  • Solid understanding of databases, including SQL and at least one NoSQL or search/vector-oriented data store.
  • Experience with Git, Docker, automated testing, CI/CD concepts, and deploying applications to cloud or cloud-adjacent environments.
  • Ability to break down ambiguous customer problems and propose creative, practical technical solutions.
  • Strong communication skills and comfort explaining technical tradeoffs to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with cloud platforms such as AWS, Azure, Digital Ocean, or Google Cloud, especially serverless, containerized, or managed AI services.
  • Experience with AI platforms and tooling such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, semantic search, embeddings, or evaluation frameworks.
  • Background integrating with common business platforms such as Salesforce, HubSpot, ServiceNow, Jira, Confluence, Slack, Microsoft 365, Google Workspace, or custom enterprise systems.
  • Experience with data engineering, ETL/ELT, workflow automation, event-driven systems, or queue-based architectures.
  • Familiarity with security, privacy, and governance considerations for customer-facing AI solutions.
  • Consulting, agency, startup, or customer-facing software delivery experience.

What Makes Someone Successful in This Role

  • Creative problem-solver who can move from idea to prototype to production without needing a large team around them.
  • Systems thinker who understands how APIs, data, user experience, and AI capabilities fit together.
  • Comfortable with ambiguity, changing requirements, and fast iteration based on customer feedback.
  • Pragmatic builder who balances innovation with reliability, maintainability, security, and cost.
  • Collaborative teammate who communicates openly, shares context, and helps raise the technical bar for the team.

Representative Technology Stack

Python, FastAPI/Flask/Django, JavaScript/TypeScript, React/Next.js, REST/GraphQL APIs, MCP, Docker, Git, SQL, NoSQL, vector databases, LLM APIs, cloud services, CI/CD, and modern integration tooling.

Working Style

This is a hands-on role in a small team. The right person will be expected to contribute across architecture, coding, integration, troubleshooting, customer communication, and delivery. They should enjoy building useful AI solutions in the real world, where creativity, technical judgment, and follow-through matter as much as raw coding ability.

Your partner for AI, consulting, software development, and nearshore staffing.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Total Performance Consulting's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Total Performance Consulting's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Total Performance Consulting's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.