Senior Ai Engineer

Overview Intellectsoft is a software development company delivering innovative solutions since ****.
We operate across North America, Latin America, the Nordic region, the UK, and Europe.
We specialize in 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.
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Role 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