Software Engineer
3 days ago
Company Description
Xperion is an innovative technology company focused on delivering transformative digital solutions that drive business growth and operational excellence. With expertise in intelligent, scalable, and adaptive technologies, we empower organizations to navigate the evolving digital landscape.
Our team of skilled engineers and consultants collaborates closely with clients to build tailored solutions that create measurable value. At Xperion, we pride ourselves on being a strategic technology partner—fostering long-term relationships through trust, innovation, and exceptional results.
Role Overview
The
AI Engineer
will design, implement, and optimize the information flows (context) that empower AI models to automate complex tasks across systems. You will work at the intersection of data engineering, prompt design, integration, and AI orchestration—ensuring that AI solutions are robust, efficient, and aligned with our clients' needs.
Key Responsibilities
1. Context Analysis & Design
- Deconstruct complex user stories and business workflows into actionable data flows and prompts.
- Design and implement RAG (Retrieval-Augmented Generation) architectures to securely integrate private datasets, documentation, and databases.
2. Integration Engineering (The Glue)
- Develop and maintain scalable API integrations between core systems (CRM, ERP, Databases) and AI services (OpenAI, Vertex AI, Anthropic, etc.).
- Ensure integrations are resilient, fault-tolerant, and monitorable.
3. Resource Optimization (The Savings)
- Optimize for token efficiency—use the right model for the right task.
- Implement caching, reuse prompt components, and reduce redundant API calls.
4. Risk & Quality Management
- Implement AI guardrails to prevent hallucinations, prompt injection, and bias.
- Collaborate with QA to define measurable success metrics (accuracy, relevance, latency).
5. Research & Continuous Improvement
- Stay ahead of the curve by exploring the latest in AI agents, RAG methods, and fine-tuning strategies.
- Develop proofs of concept to test new techniques and improve internal workflows.
Required Skills & Experience
Technical Knowledge (Hard Skills)
- 2+ years of experience
in AI engineering, machine learning engineering, backend development, or data engineering. - Advanced proficiency in
Python
; familiarity with
Go
,
, or
Java
is a plus. - Strong understanding of RESTful and gRPC API design and debugging.
- Hands-on experience with
OpenAI
,
Anthropic
,
Google Vertex/Gemini
, and frameworks like
LangChain
or
LlamaIndex
. - Experience with vector databases such as
Pinecone
,
Chroma
, or
Weaviate
for RAG implementations. - Working knowledge of
Docker
,
Kubernetes
, CI/CD pipelines, and monitoring tools (Prometheus/Grafana).
Management & Process Skills
- Agile mindset
– able to break down ambiguous ideas into clear, deliverable sprint tasks. - Systems thinking
– understands how changes affect cost, latency, scalability, and user experience. - Strong communication skills for both technical and non-technical stakeholders.
- Pragmatic approach—delivering simple, robust, maintainable solutions over overly complex ones.
Why Join Xperion?
- Work on cutting-edge AI systems that redefine automation.
- Collaborate with a tech-driven, innovation-focused team.
- Freedom to explore, experiment, and grow your technical expertise.
- Flexible work environment with global exposure.
Equal Opportunity Statement
Xperion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members—regardless of race, color, religion, gender, sexual orientation, age, disability, or any other protected status.
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