Luxoft
Senior Python AI Engineer – Agentic AI & Investment Intelligence
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Senior Python AI Engineer
We're looking for an experienced Senior Python AI Engineer to join a cutting-edge programme focused on transforming how investment professionals prepare for client engagements. Working within a high-profile initiative, you will help build an advanced AI-powered solution that generates investment insights from sales and research materials. Leveraging Agentic AI, LLMs, and Retrieval-Augmented Generation (RAG), the platform will dramatically reduce preparation time for client meetings while improving the quality and relevance of investment recommendations. This is an opportunity to work at the forefront of AI innovation, building production-grade systems that deliver real business value within the financial services sector.
The Role
As a Senior Python AI Engineer, you will work closely with business stakeholders, architects, business analysts, and development teams to design and deliver intelligent AI solutions. You'll play a key role in shaping the architecture, developing scalable backend services, integrating LLM technologies, and driving engineering best practices across the software development lifecycle. You will also provide technical leadership, contribute to architectural decisions, and help evolve the platform as new capabilities and requirements emerge.
Key Responsibilities
- Design, develop, and enhance AI-driven applications using Python and modern cloud technologies.
- Collaborate closely with business teams, architects, and analysts to understand requirements and translate them into robust technical solutions.
- Build and maintain production-grade APIs and backend services.
- Develop Agentic AI workflows capable of generating high-value investment insights.
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Integrate and optimise Large Language Models (LLMs), including commercial and open-source solutions.
- Drive technical design discussions and contribute to architectural decisions.
- Perform code reviews, design reviews, and unit testing activities.
- Identify opportunities for code optimisation, process improvements, and system enhancements.
- Support CI/CD, deployment automation, and operational excellence initiatives.
- Contribute to development standards, engineering best practices, and continuous improvement activities.
- Collaborate with cross-functional teams including developers, designers, content specialists, and business stakeholders.
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Required Skills & Experience
- Strong commercial experience developing backend solutions in Python.
- Proven ability to write clean, maintainable, scalable, and testable production code.
- Strong experience designing, building, and supporting production APIs, ideally using FastAPI.
- Experience with:
- API versioning
- OpenAPI / Swagger documentation
- Monitoring and observability
- Performance optimisation
- Strong cloud engineering experience, preferably AWS.
- Experience with:
- Event-driven services
- Queues and messaging
- Serverless architectures
- Logging and monitoring platforms
- Secrets management
- Experience with Git-based development workflows.
- Experience building and maintaining CI/CD pipelines.
- Strong troubleshooting, debugging, and problem-solving skills.
- Demonstrated ownership across the full software development lifecycle.
Generative AI & Agentic AI Experience
We are specifically seeking candidates with hands-on experience building production AI solutions. This includes:
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- Agentic AI application development.
- Retrieval-Augmented Generation (RAG) implementation.
- Vector database technologies.
- Embeddings, indexing, chunking, and retrieval strategies.
- Integrating Large Language Models including:
- OpenAI
- Azure Open AI
- Anthropic
- Open-source LLMs
- Prompt engineering and optimisation.
- AI safety controls and guardrails.
- Cost, latency, and performance optimisation for AI workloads.
Desirable Skills
- Experience with Agent Core.
- AWS Neptune.
- Amazon API Gateway.
- Understanding of machine learning concepts including:
- Embeddings
- Tokenisation
- Model evaluation
- Fine-tuning
- LoRA
- Prompt and retrieval evaluation
- Frontend development experience using React and TypeScript.
- Experience designing and implementing event-driven architectures.
What We're Looking For
You'll be a passionate engineer who enjoys solving complex problems and building innovative AI-powered products. You will be comfortable working with both technical and non-technical stakeholders and capable of influencing architecture, design, and delivery decisions. Success in this role requires a combination of strong software engineering fundamentals, a deep interest in Generative AI, and the ability to turn emerging technologies into scalable production solutions.
Why Join?
- Work on a genuinely innovative Agentic AI platform.
- Build next-generation investment intelligence solutions.
- Exposure to modern AI, cloud, and software engineering technologies.
- Collaborate with experienced architects, engineers, and business stakeholders.
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