Sr AI Application Developer
Rite Hite
United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Software Applications
Microsoft Azure
Cloud Computing
Cloud Engineering
JSON
Python (Programming Language)
Performance Tuning
Software Safety
Salesforce.Com
+15 more
Software Engineering
Systems Integration
Management of Software Versions
Workflow Management Systems
Extensible Markup Language (XML)
Data Logging
Enterprise Software Applications
Large Language Models
Prompt Engineering
Generative AI
Build Management
Data Lakes
AI Platforms
Restful APIs
Microservices
Job description
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
- Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
- Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
- Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
- Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
- Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
- Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
- Mentor and upskill existing developers on AI concepts, patterns, and best practices.
Requirements
- 5+ year of full stack development experience.
- Strong software engineering background with experience building production-grade applications.
- Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Practical experience building RAG pipelines using vector databases and embedding models.
- Experience with prompt engineering, prompt versioning, and evaluation techniques.
- Solid Python experience for AI development.
- Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
- Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
- Understanding of data formats such as JSON, XML, and document-based data.
- Ability to translate business problems into AI-driven technical solutions., * Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
- Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
- Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
- Exposure to video or image models and multimodal AI use cases.
- Experience working in enterprise environments with security, compliance, and change management considerations.
- Prior experience mentoring or leading developers in new technical domains.
Benefits & conditions
At Rite-Hite, we take care of our people - because when you’re supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
- Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
- Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
- Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you’re supported - at work and beyond.
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