AI Engineer - Remote
Role overview
You’ll design, build, and integrate advanced AI models into real software systems. This role sits at the intersection of software engineering, data science, and MLOps — turning research into robust, scalable, production-ready AI services.
Responsibilities
- check_circle Build functional AI services from architectural designs
- check_circle Orchestrate data ingestion, inference flows, and output pipelines
- check_circle Optimise latency, memory, and throughput
- check_circle Implement testing, validation, and error/bias analysis
- check_circle Design multi-agent systems using LangChain, LangGraph, or Microsoft Agent Framework
- check_circle Implement reasoning loops (e.g., ReAct)
- check_circle Integrate tools, APIs, databases, and memory systems
- check_circle Develop safety and reliability checks for agent behaviour
- check_circle Build scalable ETL/ELT pipelines
- check_circle Perform feature engineering and advanced data prep
- check_circle Integrate SQL/NoSQL, data lakes, warehouses, and streaming APIs
- check_circle Ensure compliance with GDPR/CCPA and internal governance
- check_circle Deploy AI services on Azure using REST APIs
- check_circle Use Docker + Kubernetes for scalable production workloads
- check_circle Build ML-focused CI/CD pipelines
- check_circle Implement monitoring, drift detection, logging, alerting, and retraining
- check_circle Manage infrastructure with Terraform
Basic qualifications
- 2+ years as an AI Engineer or Software Engineer with strong AI/ML exposure
Preferred qualifications
- Advanced Python (asyncio, type hinting, Pydantic)
- Backend/API development with FastAPI/Flask/Django
- Agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework)
- LLM orchestration, RAG, prompt engineering
- Cloud (Azure preferred), Docker, Kubernetes
- IaC (Terraform)
- PostgreSQL, plus exposure to NoSQL and vector databases
- CI/CD, monitoring, observability, ML-specific drift detection
- Work effectively with data scientists, PMs, and stakeholders
- Communicate technical decisions clearly
- Maintain strong documentation across pipelines and architectures
About the company
Attercop is a knowledge engineering and agentic AI company built specifically for private equity and professional services. We turn fragmented, hard to use information into structured intelligence and deploy autonomous AI agents that make decisions, not just recommendations. Our systems deliver faster insights, operational efficiency gains, and real value creation across the PE lifecycle — from diligence and data organisation to portfolio wide transformation.
Tags & Focus Areas
About Attercop
Ready to Join the Team?
Apply once with DevFound — we route your profile to Attercop and keep you posted on matching AI roles.