Hi Vendors,
Job Title: AI Engineer (Generative AI &
Agentic AI)
Location: Malvern, PA
(Hybrid/Onsite)
Duration: Contract
Job Summary
We are seeking an
experienced AI Engineer with expertise in Generative AI, Agentic AI,
and Large Language Models (LLMs) to design, develop, and deploy intelligent
AI-powered solutions. The ideal candidate will have hands-on experience
building autonomous AI agents, implementing Retrieval-Augmented Generation
(RAG) architectures, integrating enterprise systems, and deploying scalable AI
applications on cloud platforms.
This role requires
strong programming skills, experience with modern AI frameworks, and the
ability to build secure, production-ready AI solutions that deliver measurable
business value.
Key Responsibilities
- Design, develop, and deploy AI-powered
applications using Large Language Models (LLMs) and Agentic AI frameworks.
- Build autonomous AI agents capable of
executing multi-step workflows and interacting with enterprise
applications.
- Develop prompt engineering strategies,
reasoning workflows, memory management, and agent orchestration for
reliable AI responses.
- Build Retrieval-Augmented Generation (RAG)
pipelines using embeddings, vector databases, and enterprise knowledge
sources.
- Design AI agents capable of invoking APIs,
querying databases, and integrating with enterprise systems.
- Implement orchestration logic, asynchronous
workflows, exception handling, and scalable AI services.
- Develop multi-agent systems with task
decomposition, state management, event-driven execution, and workflow
automation.
- Deploy AI applications on AWS or Azure using
containers and CI/CD pipelines.
- Optimize AI model performance, scalability,
reliability, and operational efficiency.
- Implement AI security best practices including
prompt injection protection, guardrails, data privacy, and compliance
controls.
- Monitor AI systems using logging, feedback
loops, performance metrics, and continuous model improvement.
- Collaborate with business stakeholders to
design AI solutions that deliver measurable business outcomes and ROI.
Required Qualifications
- Bachelor's degree in Computer Science,
Artificial Intelligence, Data Science, Engineering, or a related field.
- 4–6 years of software engineering or AI
development experience.
- Hands-on experience with Generative AI and
Large Language Models (LLMs).
- Experience with enterprise AI platforms such
as:
- Microsoft
Copilot
- AWS
AI Services (including Amazon Q/Quick Suite)
- Claude
- UiPath
AI
- Strong prompt engineering and LLM
orchestration experience.
- Experience building autonomous AI agents and
workflow automation.
- Knowledge of:
- Retrieval-Augmented
Generation (RAG)
- Embeddings
- Vector
Search
- Vector
Databases
- Strong programming skills in Python and modern
backend development.
- Experience integrating REST APIs, databases,
and enterprise applications.
- Experience deploying AI solutions on AWS or
Azure.
- Experience with Docker, Kubernetes,
containers, and CI/CD pipelines.
- Understanding of AI security, governance,
compliance, and responsible AI practices.
- Excellent analytical, communication, and
problem-solving skills.
Best
Regards
Rohit
Kumar (Sr.Technical Recruiter)
roh...@intellisofttech.com|
www.intellisofttech.com
www.linkedin.com/in/rohit-pal-965a1a190