Senior Full Stack Engineer

ESP Engineered; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ESP Engineered is looking for a Senior Full Stack Engineer to lead the development of high-performance, AI-driven web applications. The role involves building responsive React frontends, and a backend architecture using Python (FastAPI) and Rust. You'll integrate Natural Language Processing and Generative AI features into products. Proficiency in React, Python, and Rust along with AI integration experience is essential. This position is on-site in Bengaluru, India.

Qualifications

• Expert in Python 3.12+ and FastAPI with asynchronous programming proficiency.
• Proficient in Rust for building low-latency services.
• Experience with AI frameworks and NLP integration.

Responsibilities

• Design and implement scalable features using React, FastAPI, and Rust.
• Build and deploy AI-powered features like semantic search.
• Create sophisticated user interfaces that visualize AI outputs.

Skills

React frontends

Python (FastAPI)

Rust

Natural Language Processing (NLP)

Generative AI

PostgreSQL

Redis

Tools

Vite

Tailwind CSS

PyO3

Maturin

Job description

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)

• 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).
• 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

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.