The Role
Develop and integrate AI/ML capabilities into operational software, including large language models, retrieval-augmented generation, agentic workflows, prompt engineering, and inference pipelines. Evaluate, test, document, and communicate AI system performance, reliability, design decisions, and technical contributions. Preferred experience includes secure development, DevSecOps, Kubernetes, OpenShift, CI/CD, containerized delivery, and classified or regulated environments.
Summary Generated by Built In
Required Skills:
- A master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field, along with demonstrated experience working on or developing AI/ML capabilities.
- At least four years of relevant AI/ML experience that includes work with large language models, retrieval-augmented generation, and prompt engineering.
- Hands-on experience integrating LLM-enabled software and RAG capabilities into applications or workflows.
- Developing or supporting agentic-AI capabilities and multi-step AI workflows.
- Designing, building, or supporting inference pipelines.
- Ability to evaluate AI-enabled capabilities and clearly document findings, design decisions, and results.
- Testing and documenting AI-enabled software capabilities.
- Ability to clearly explain your personal technical ownership and contributions.
- Strong collaboration and technical-communication skills.
Preferred Background
Experience with several of the following can strengthen your fit:
- Moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software workflows.
- Evaluating grounding, reliability, output quality, hallucinations, or other limitations of AI-enabled systems.
- Integrating AI services with backend APIs or established software applications.
- Secure software-development lifecycle and DevSecOps practices.
- OpenShift, Kubernetes, CI/CD, or containerized application delivery.
- Secure, restricted, disconnected, on-premises, or classified development environments.
- Defense, government, aerospace, mission-planning, or other regulated environments.
- Collaboration with software-engineering, cybersecurity, platform, and customer-facing technical teams.
Skills Required
- Master's degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field
- At least four years of relevant AI/ML experience
- Experience with large language models, retrieval-augmented generation, and prompt engineering
- Hands-on experience integrating LLM-enabled software and RAG capabilities into applications or workflows
- Experience developing or supporting agentic AI capabilities and multi-step AI workflows
- Experience designing, building, or supporting inference pipelines
- Ability to evaluate AI-enabled capabilities and document findings, design decisions, and results
- Experience testing and documenting AI-enabled software capabilities
- Ability to explain personal technical ownership and contributions
- Strong collaboration and technical communication skills
- Experience moving AI capabilities into operational software workflows
- Experience evaluating grounding, reliability, output quality, hallucinations, or other AI system limitations
- Experience integrating AI services with backend APIs or established software applications
- Experience with secure software development lifecycle and DevSecOps practices
- Experience with OpenShift, Kubernetes, CI/CD, or containerized application delivery
- Experience in secure, restricted, disconnected, on-premises, or classified development environments
- Experience in defense, government, aerospace, mission-planning, or other regulated environments
- Collaboration with software engineering, cybersecurity, platform, and customer-facing technical teams
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The Company
What We Do
Maania Consultancy Services is a recruitment company specializing in talent acquisition for IT, Engineering, Financial services, Defense, and Aviation, aiming to provide recruiting solutions for small to medium-sized businesses.
