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Senior AI Engineer
inventYOU IT ConsultingSenior AI Engineer developing next-generation AI applications leveraging AI frameworks. Collaborating with teams on scalable, secure, and intelligent AI solutions in a remote setting.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI-powered applications, utilizing Large Language Models, and implementing AI workflows. Proficient in backend development, REST API design, and optimizing AI solutions for performance and scalability.
Highest-signal resume keywords
Python ProgrammingLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)REST API DevelopmentAI Application Development
ATS Keywords
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Hard Skills
PythonAI Application DevelopmentRetrieval-Augmented Generation (RAG)REST API DesignSQLFastAPIDjangoGitCI/CD PipelinesAnalytical Skills
Soft Skills
Problem-SolvingCommunication Skills
Tools & Technologies
LangChainLangGraphPydanticAIOpenAIAzure OpenAIAnthropic ClaudePostgreSQLMySQLDockerKubernetes
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Artificial IntelligenceBachelor's Degree in Software EngineeringBachelor's Degree in Data Science
Industry Keywords
AI-Powered ApplicationsAI WorkflowsAI Observability ToolsVector DatabasesAI Copilots
Tech Stack
Tools & technologiesAzureDjangoDockerKubernetesMySQLPostgresPythonSQL
About the role
Key responsibilities & impact- Design, develop, and deploy AI-powered applications and intelligent services
- Build and optimize solutions using Large Language Models (LLMs)
- Develop Retrieval-Augmented Generation (RAG) pipelines and AI workflows
- Design and implement AI agents and orchestration frameworks
- Develop backend services and REST APIs supporting AI applications
- Integrate AI capabilities into enterprise software solutions
- Collaborate with cross-functional teams to define and deliver AI use cases
- Optimize the performance, scalability, and reliability of AI solutions
- Contribute to technical architecture, documentation, and engineering best practices
- Stay up to date with emerging AI technologies and industry trends
Requirements
What you’ll need- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field
- 5+ years of professional software development experience
- Strong programming experience in Python
- Experience developing AI applications using Large Language Models (LLMs)
- Hands-on experience building Retrieval-Augmented Generation (RAG) solutions
- Experience with Agentic AI frameworks such as LangChain, LangGraph, or PydanticAI
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, or similar AI platforms
- Experience developing backend applications using FastAPI or Django
- Experience designing and developing REST APIs
- Experience with SQL and relational databases such as PostgreSQL or MySQL
- Experience with Git and CI/CD pipelines
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills in English
- Nice to Have
- Experience with vector databases such as Pinecone, Weaviate, or Milvus
- Experience with Docker and Kubernetes
- Experience with AI observability tools such as LangSmith or Arize Phoenix
- Experience with prompt engineering and LLM evaluation
- Experience building AI copilots or intelligent assistants
Benefits
Comp & perks- Work on innovative AI and Generative AI solutions
- Build production-grade applications using modern AI technologies
- Collaborate with experienced engineering teams on cutting-edge projects
- Gain exposure to the latest AI frameworks, platforms, and cloud technologies
- Be part of impactful projects that drive innovation and digital transformation