Senior Software Engineer

Role Overview

As a Senior AI Engineer at Fluxon, you will lead the design, development, and deployment of AI-powered applications for clients, focusing on system architecture, generative AI, and production engineering. You'll work in a product development team, collaborating with engineers and product managers to integrate AI capabilities and optimize models for performance and cost. This senior role involves significant impact through building scalable AI systems that transform client products.

Perks & Benefits

This role is remote-friendly, based in Bengaluru, India, with flexibility typical of tech jobs, likely including remote work options and a collaborative, innovative culture. You'll gain exposure to cutting-edge AI technologies and projects with high-profile clients like Google and Stripe, offering strong career growth in AI engineering. Benefits may include professional development opportunities and a dynamic, product-focused team environment.

Full Job Description

Who we are We are Fluxon, a product development team founded by ex-Googlers and startup founders. We offer full-cycle software development: from ideation and design to build and go-to-market. We partner with visionary companies, ranging from fast-growing startups to tech leaders like Google and Stripe, to turn bold ideas into products with the power to transform the world. The role is open to candidates based in Bengaluru, India. About the role As an AI Engineer at Fluxon, you'll take the lead in designing, building and deploying AI-powered applications for our clients. You'll be responsible for:

System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

You'll work with technologies including: Languages

Python (Preferred) Java / C++ / Scala / R / JavaScript

AI / ML

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