Senior AI Engineer

About Intellectsoft

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact. Together, our team delivers solutions that make a difference. Learn more at https://www.intellectsoft.net/

Job Description

You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing.

This role is for engineers who thrive in 'high-unknown' environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality.

Requirements

Technical Excellence:

• Python Mastery: Expert-level Python with experience in FastAPI or Django.
• Agentic Frameworks: Proven experience with LangGraph and LangChain for building complex LLM pipelines.
• Production-Grade Engineering: Deep understanding of TDD, linters, and ensuring high test coverage within CI/CD processes.
• Data Proficiency: Experience in data processing using tools like Pandas, Polars, or PySpark.
• API Development: Ability to build scalable backends for real-time interactions, including WebSockets.

Soft Skills & Mindset:

• Extreme Ownership: Ability to take a project from business requirements through to implementation with minimal oversight.
• Analytical Decision-Making: Ability to justify architectural choices (e.g., Vector DB vs. Corporate Standard) using data-driven Proof of Concepts.
• High Velocity: Comfortable working in a small, fast-paced team where rapid delivery is essential.
• Defined Execution: Strong commitment to establishing a clear 'Definition of Done' for every task.

Nice to have skills

• Familiarity with .NET to align with existing corporate standards and facilitate cross-team integration.
• Cloud-Native AI Guardrails: Experience with Azure Content Safety or AWS Bedrock Guardrails to manage model compliance.
• Advanced Monitoring: Experience with Arize Phoenix or similar tools for debugging agent behavior and tool-calling efficiency.
• LLM Fine-Tuning/Prompting: Knowledge of few-shot learning and structured prompting using XML, JSON, or Markdown.
• Enterprise Databases: Familiarity with Azure Cosmos DB, MongoDB, or MSSQL.

Responsibilities

• Core Platform Development: Responsible for the development of the core agent platform components.
• Architecture Transition: Lead the transition from a JavaScript prototype to a segregated Python application with dedicated Management APIs and Agent Execution Backends.
• Agent Orchestration: Build and manage complex agent workflows using LangChain and LangGraph to handle multi-step interactions and tool calls.
• No-Code & Pro-Code Tooling: Develop a platform that allows administrators to build agents via a 'no-code' approach while enabling advanced users to execute custom code scripts.
• RAG & Search Optimization: Implement advanced retrieval strategies, including hybrid search and rerankers, while justifying database choices through proof-of-concept metrics.
• Guardrails & Compliance: Ensure AI safety by implementing logits masking, context managers, and content guardrails to prevent harmful or off-brand generation.

Benefits

• Udemy courses of your choice
• Team-buildings, events, marathons & charity activities to connect and recharge
• Workshops, trainings, expert knowledge-sharing that keep you growing
• Clear career path
• Absence days for work-life balance
• Flexible hours & work setup - work from any of listed locations and organize your day your way