Forte Group is looking for a Senior Software Engineer to join a publicly traded global media and technology project formed in early 2026 as a spin-off from one of the world's largest entertainment conglomerates. The portfolio spans cable television networks, digital media properties, sports technology platforms, and consumer-facing digital products used by millions of people. The company’s digital platforms serve thousands of business operators and tens of millions of consumers across sports, entertainment, and media.

The product you will work on sits within the company’s sports technology division. It includes a revenue optimization platform that ingests booking data, seasonal trends, and customer segments, then uses AI to generate dynamic pricing strategies, targeted marketing campaigns, and promotional recommendations for facility operators. A current priority is building an AI agent that provides a simple, chat-based interface to multiple backend services, database data, and charts. The agent replaces several complex legacy interfaces with a single unified experience, giving operators faster access to the information and actions they need.

The tech stack runs on AWS with .NET 10 backend services. AI capabilities are powered by AWS Bedrock, Anthropic Claude, and AWS foundation models. pg_vector (PostgreSQL extension) handles vector storage and semantic search. A key part of the current roadmap is an AI agent that provides a chat-based interface to multiple services, database data, and charts, replacing several complex legacy interfaces with a single unified experience. The AI layer is the product, not an add-on.

Responsibilities:

Build and extend AI-powered features using AWS Bedrock, Anthropic Claude, and AWS foundation models
Design and build the conversational AI agent: a chat-based interface that unifies access to multiple services, database data, and visualizations, replacing legacy interfaces.
Develop .NET 10 backend services that integrate with AI orchestration layers, handle business logic, and serve APIs
Design and maintain vector search and retrieval pipelines using pg_vector for semantic matching across large datasets
Train, fine-tune, and evaluate ML models for domain-specific tasks including classification, recommendation, and prediction
Implement agentic workflows and multi-step AI pipelines that coordinate across data sources, services, and user interactions
Write and maintain automated tests using Playwright and Claude for AI-assisted test generation
Contribute to data pipeline design, transformation logic, and infrastructure-as-code on AWS
Participate in code reviews, architecture discussions, and sprint planning

Requirements:

3 to 5 years of professional software engineering experience with production-deployed code
Strong backend development skills in .NET (C#) with experience building APIs and services
Working experience with AWS (EC2, Lambda, RDS, or similar services)
Hands-on experience integrating LLM APIs (Claude, AWS Bedrock, or similar) into applications
Familiarity with vector databases or semantic search (pg_vector, Pinecone, or equivalent)
Experience with SQL databases (PostgreSQL preferred) and data pipeline fundamentals
Comfort working in a small team with high ownership and minimal hand-holding

Preferred:

Experience training or fine-tuning ML models (classification, NLP, recommendation systems)
Familiarity with AWS Bedrock, including model selection, prompt management, and guardrails
Experience building conversational AI agents or chat-based interfaces over structured data
Exposure to agentic AI patterns (tool use, multi-step orchestration, retrieval-augmented generation)
Experience with Playwright or similar test automation frameworks
Infrastructure-as-code experience (Terraform, CloudFormation, or CDK)

Technology Stack:

The team works across the following stack. You do not need experience with every tool, but you should be comfortable learning what you do not already know.

AI / LLM AWS Bedrock, Anthropic, Claude, AWS foundation models
ML / Training Model fine-tuning, evaluation pipelines, domain-specific classifiers
Vector Search pg_vector (PostgreSQL extension)
Agent / UX Conversational AI agent, chat-based interface, data visualization
Backend .NET 10 (C#), REST APIs
Data PostgreSQL, data pipelines, transformation logic
Testing Playwright, AI-assisted test generation (Claude)
Infrastructure AWS

How We Work:

Small team, high ownership. You ship features, not tickets
AI is a tool in the workflow, not a topic for slide decks. The team uses AI-assisted development daily
Code reviews are real conversations, not rubber stamps
Sprint cycles are short. Feedback from production informs the next iteration
Quality matters. Automated testing, CI/CD, and observability are expected, not aspirational

We offer

Work your way — anywhere, anytime. Our remote-first approach lets you choose where and how you work best!
Experience working with diverse teams and gaining international expertise
A friendly, supportive team and an enjoyable work environment where your ideas matter
A chance to work on exciting, challenging projects using cutting-edge technologies that make a real impact
Comprehensive health insurance, corporate psychologist access, and partial sports activity coverage
Free training programs, reimbursement for certifications, and access to online learning platforms to fuel your growth
Free group English classes and discounted individual lessons
Paid vacation, public holidays, and sick leave are fully covered by Forte Group
Referral bonuses, regular performance reviews, and full support for business trips
Corporate events and holiday presents

Join a team that invests in your well-being, growth, and success!