Skip to content

Open nowPosted 272 days ago

Senior Full Stack Engineer

Tarento Technologies37 open roles

Where
Bengaluru
Get the CV for this job

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

Your applicationOpen nowSenior Full Stack EngineerTarento Technologies · Bengaluru
  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 Tarento Technologies'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.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 272 days ago

The posting

About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Role Overview:

We are seeking a Senior Full Stack Engineer to lead the development of high-performance, AI-driven web applications. You will be responsible for building responsive React frontends and a high-throughput backend architecture using Python (FastAPI) and Rust.

A key focus of this role will be the integration of Natural Language Processing (NLP) and Generative AI features into our product ecosystem—leveraging Rust for performance-heavy inference tasks and Python for rapid AI prototyping and orchestration.

Key Responsibilities

  • End-to-End Development: Design and implement scalable features using React (frontend), FastAPI (orchestration), and Rust (performance).
  • AI Integration: Build and deploy AI-powered features such as semantic search, automated summarization, and agentic workflows.
  • Hybrid Backend Architecture: Maintain a dual-backend strategy—using Python for its rich AI/ML ecosystem and Rust (via PyO3/Maturin) for high-speed data processing and model inference kernels.
  • Modern UI/UX: Create sophisticated user interfaces that effectively visualize AI outputs and handle complex user-agent interactions.
  • Mentorship & Best Practices: Lead architectural discussions, promote type safety across the stack, and mentor junior engineers in modern AI-integrated development.

Technical Requirements:

Frontend (Modern React Stack)

  • Core: Expert-level React (18/19+), Javascript/ TypeScript, and ESNext.
  • Frameworks: Experience with Next.js (App Router), React Server Components (RSC), Node.js frameworks with REST/GraphQL APIs.
  • Latest Tools: Proficiency with Vite, Tailwind CSS, and TanStack Query.
  • AI Interaction: Experience building "streaming" UIs for LLM responses (e.g., Vercel AI SDK).

Backend (Python & Rust)

  • Python Mastery: Expert in Python 3.12+ and FastAPI. Proficient in asynchronous programming and Pydantic v2.
  • Rust Excellence: Proficiency in Rust for building low-latency services or extensions. Familiarity with crates like Axum, Tokio, and Serde.
  • The Bridge: Experience using PyO3 or Maturin to optimize Python applications with Rust.
  • Data: Advanced PostgreSQL (relational) and Redis (caching).

Mandatory Skills:

  • Python, Fast API, JavaScript &React

Good to Have" (AI & NLP Skills)

  • NLP & LLMs: Experience integrating Large Language Models (GPT-4, Claude 3.5/4, Llama 3) via APIs or local hosting (Ollama/vLLM).
  • AI Frameworks: Familiarity with orchestration tools like LangChain, LlamaIndex, or CrewAI for building agentic workflows.
  • Vector Databases: Hands-on experience with Pinecone, Weaviate, Chroma, or Milvus for Retrieval-Augmented Generation (RAG).
  • ML Libraries: Basic knowledge of PyTorch or Hugging Face Transformers for fine-tuning or implementing NLP models (Sentiment Analysis, NER, etc.).
  • AI Tooling: Experience using AI-first development tools like Cursor, GitHub Copilot, or Windsurf to accelerate the development lifecycle.

Preferred Qualifications

  • Experience with WebAssembly (Wasm) to run Rust/AI logic directly in the browser.
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 Tarento Technologies'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 Tarento Technologies'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

    Tarento Technologies'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.

By hand5–10
With CV Rocket100
applications a day

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.