AI Engineer
Primary stack
Nice to have's
Job description
About the Position
AI Engineer
Location: Remote / Hybrid
About the Project
We are looking for an AI Engineer to join a team building AI-powered automation features for a customer support and operations platform. The product uses LLMs to classify requests, extract structured data from conversations and documents, suggest replies, summarize cases, and route tasks to the right teams.
The stack includes Python 3.11+, FastAPI, OpenAI/Azure OpenAI or similar LLM providers, LangChain or lightweight custom orchestration, PostgreSQL, Redis, and evaluation tooling. The role involves frequent communication with international product, engineering, and business stakeholders, so strong spoken English is essential.
Responsibilities
- Build AI-assisted backend features for classification, summarisation, data extraction, routing, and draft generation.
- Design prompts, tool calls, structured outputs, validation rules, and fallback flows for production use.
- Integrate LLM features into existing backend APIs and operational workflows.
- Work with document parsing, text normalisation, metadata extraction, and confidence scoring.
- Create evaluation datasets and measure quality, latency, cost, and failure modes of AI features.
- Implement guardrails, observability, trace logs, and safe handling of sensitive customer data.
- Collaborate with product managers and domain experts to turn ambiguous use cases into testable AI workflows.
Requirements
- 3+ years of commercial software engineering experience, preferably with Python backend development.
- Hands-on experience building LLM-powered features or AI automation workflows.
- Experience with Python, FastAPI, REST APIs, PostgreSQL, and background processing.
- Understanding of prompt design, structured outputs, model limitations, evaluation, and hallucination risk.
- Ability to design practical AI workflows that can be monitored, tested, and improved in production.
- Experience with Git, Docker, CI/CD, and standard engineering practices.
- Strong spoken English - B2+ or higher for discussing AI behaviour, requirements, and trade-offs with international teams.
Nice to Have
- Experience with Azure OpenAI, OpenAI APIs, Anthropic, Gemini, or similar providers.
- Experience with OCR, document intelligence, embeddings, or semantic search.
- Experience with LangSmith, MLflow, prompt evaluation tools, or custom AI QA pipelines.
- Background in customer support, operations automation, document workflows, or SaaS products.
Apply
If you enjoy turning LLM capabilities into reliable product features rather than demos, we would be glad to hear from you. Send us your CV and we will contact you to discuss relevant opportunities.
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Infinity Technologies, headquartered in London, specializes in creating global R&D hubs to help businesses achieve their goals. Promoting fully remote teams and a lean approach, we eliminate unnecessary office costs, sales, marketing expenses, and overheads for our customers. Our innovative fractal model ensures each R&D hub functions as a self-contained ecosystem tailored to the unique needs of each customer, acting as an extension of their team to develop products, maintain services, or execute strategic objectives.We leverage over 20 trademarked frameworks for building teams, developing software products, and designing outsourcing strategies, focusing on startups andmid-sizedcustomers. Our goal is to help them globalize their R&D efforts efficiently. Infinity Technologies also maintains a library of reusable components, enabling rapid prototyping, idea validation, and faster time to market—all while reducing costs. Since 2003, we have built 81 R&D hubs and currently operate 12 active hubs with distributed teams in 21 countries.With our expertise in cost-effective practices, economies of scale, and lean methodologies, Infinity Technologies empowers businesses to innovate, grow, and succeed in a global marketplace.
