The Role
Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.
Summary Generated by Built In
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.
Skills Required
- Expert-level React 18/19+, JavaScript or TypeScript, and ESNext
- Experience with Next.js App Router and React Server Components
- Experience with Node.js frameworks and REST or GraphQL APIs
- Proficiency with Vite, Tailwind CSS, and TanStack Query
- Experience building streaming user interfaces for LLM responses
- Expertise in Python 3.12+ and FastAPI
- Proficiency in asynchronous programming and Pydantic v2
- Proficiency in Rust for low-latency services or extensions
- Familiarity with Axum, Tokio, and Serde
- Experience using PyO3 or Maturin
- Advanced PostgreSQL and Redis experience
- Python
- FastAPI
- JavaScript and React
- Experience integrating large language models such as GPT-4, Claude, or Llama
- Familiarity with LangChain, LlamaIndex, or CrewAI
- Hands-on experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus
- Basic knowledge of PyTorch or Hugging Face Transformers
- Experience with Cursor, GitHub Copilot, or Windsurf
- Experience with WebAssembly
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tarento is a Nordic-Indian IT services company that helps organizations navigate digitalization through enterprise applications, data and information management, mobile and custom solutions. Its offerings span digital, data, AI, cloud, consulting, software development, integration, testing, and application management. The company also builds scalable web and mobile apps, portals, platforms, and products for clients across industries, combining technology expertise with data-management capabilities.







