AI Engineer | MD
Rajesh C2C Requirements
Need Genuine Profiles
AI Engineer
Location: Frederick, MD 21701. Onsite 5
days a week
Role Descriptions: Job description We are seeking an AI Engineer specializing
in Generative AI and Agentic AI systems. This role focuses on designing|
developing| and operationalizing intelligent AI agents| Large Language Model
(LLM)-based applications| Retrieval-Augmented Generation (RAG) systems| and
autonomous multi-agent workflows.
Key Responsibilities
1. GenAI Development LLM EngineeringBuild and deploy LLM-based applications leveraging frameworks like LangChain.
Develop RAG pipelines using vector databases for enterprise knowledge retrieval.Develop data pipelines to create structured and unstructured datasets for LLM and agent workflows.
Optimize prompts| system instructions| and memory architectures for robust| domain-specific reasoning.Evaluate model performanceaccuracy| hallucination mitigation| latency| and safety compliance.
2. Agentic AI Design Autonomous Workflow Engineering Implement agentic systems capable of planning| reasoning| tool usage| and multi-step decision-making.Build multi-agent ecosystems (task agents| planning agents| critic agents| evaluation agents) to automate complex workflows.Integrate agents with APIs| enterprise systems| and external tools to create end-to-end autonomous solutions.Ensure agent alignment with Responsible AI principles traceability| guardrails| human oversight.
3. AI Systems Integration Deployment Build scalable microservices and APIs for GenAI and agentic components.
Deploy
models and agents using Azure ML or Kubernetes-based stacks.4. Collaboration
InfluenceEngage with business and product stakeholders to convert ambiguous use
cases into technical solutions.Support internal capability buildingAI best
practices| prompt engineering| GenAI safety| and evaluation frameworks.Required
Skills QualificationsStrong hands-on expertise in Python| LLM frameworks| and
MLDL libraries (Transformers| PyTorch| TensorFlow| scikit-learn).Experience
with API development| microservices| Docker| and Kubernetes.Experience building
RAG systems with vector databases and embeddings.Experience with agentic
frameworks or building custom autonomous agents.Strong understanding of LLM
safety| hallucination mitigation| and evaluation techniques.Cloud proficiency
in Azure (or any other hyperscalers - AWS| GCP etc)Soft SkillsStrong analytical
reasoning| problem-solving| and design thinking skills.Comfortable working in
fast-paced| agile| innovation-driven environments.Curiosity and a passion for
emerging AI research| prototyping| and experimentation.
Skills: AI & Gen AI - Products & Tools
Experience Required: 8-10
• Top 3 Required Skills:
o Python & Backend AI Service Development : Strong proficiency in Python
with hands-on experience building and deploying backend services for AI
applications.
o Generative AI & Prompt Engineering : Practical experience with GenAI
models, including prompt engineering, model tuning, and optimization for
enterprise use cases.
o AI Deployment & Integration : Proven ability to deploy, integrate, and
scale AI solutions in production environments, particularly within enterprise
systems.
• Top 3 Preferred Skills:
o AI Agent-Based Solution Development : Experience building or integrating AI
agents and GenAI-enabled applications.
o Azure Data & AI Services : Hands-on experience using Azure AI, Azure
OpenAI, Azure data services, or similar cloud-native AI platforms.
o Unstructured Data Handling ; Expertise in processing, managing, and preparing
unstructured data (text, documents, etc.) for GenAI applications.
• Education Requirements:
o Masters in computer science
• Years of Experience:
o Required: Python, GenAI & prompt engineering, AI deployment/integration
o Preferred: AI agents, Azure AI services, unstructured data processing
o Education: Degree in CS/AI or related field (preferred)
o Experience: Mid to senior level AI engineer