Senior Agentic AI Engineer / GenAI Engineer - RAG & LangGraph

Job Title: Senior Agentic AI Engineer / GenAI Engineer - RAG & LangGraph

Location: Charlotte, NC

Duration: Contract - 11 months

Pay Range: $65.05/hr (W2)

Job ID: 408004

About BCforward

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description

We are seeking an AI Engineer to join our dynamic team. The ideal candidate will have strong experience in Python-based AI/ML engineering, agentic AI frameworks, and retrieval-augmented generation (RAG), and a proven ability to deliver production-grade, governed AI systems aligned with enterprise risk standards.

Work Arrangement

• Hybrid schedule with a minimum of three days per week onsite (mandatory per GHR).

Responsibilities:

• Design, develop, and deploy advanced AI/ML systems with a focus on agentic AI and RAG architectures, including Graph RAG.


• Build Python-based microservices and APIs that expose AI/ML model capabilities to downstream applications.


• Develop agent systems using LangGraph to enable planning, reasoning, tool orchestration, and multi-agent workflows.


• Integrate Model Context Protocol (MCP) for standardized context sharing and tool interoperability.


• Design and implement RAG pipelines using vector databases, embeddings, knowledge graphs, and hybrid retrieval strategies.


• Create memory systems and contextual state management for agent continuity and long-running workflows.


• Establish evaluation pipelines, prompt strategies, and guardrails to ensure performance, safety, and reliability.


• Apply Model Risk Management (MRM) practices across the AI lifecycle, including validation, explainability, bias detection, monitoring, and documentation.


• Design and develop production-grade Python APIs and services, and integrate with Angular-based front-end applications.


• Deploy and operate containerized applications on OpenShift, including manifests, services, routes, and secrets.


• Automate CI/CD workflows aligned with OpenShift standards and enable observability and monitoring.


• Remediate security and compliance findings in Python dependencies, container images, and deployment configurations.


• Collaborate with AI/ML engineers, UI developers, DevOps, and security stakeholders to productionize model capabilities.

Required Skills & Qualifications:

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.


• Strong proficiency in Python and experience building scalable AI/ML systems and APIs.


• Hands-on experience with agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP).


• Proven expertise in RAG architectures, including Graph RAG, and LLM orchestration frameworks such as LangChain and LlamaIndex.


• Track record of deploying LLM-powered production systems with appropriate guardrails and evaluations.


• Experience with Python ML/AI frameworks such as PyTorch, TensorFlow, and Scikit-learn.


• Hands-on experience with vector databases and semantic retrieval, including FAISS, Pinecone, Weaviate, or Azure AI Search.


• Understanding of agent orchestration patterns, including planning, reflection, tool usage, and multi-agent collaboration.


• Expertise in agent memory architectures, including short-term, long-term, and episodic memory.


• Knowledge of LLMOps/MLOps practices, CI/CD, observability, monitoring, and performance optimization.


• Working knowledge of MRM frameworks, governance, validation, and lifecycle controls, with familiarity in AI safety and alignment techniques.


• Experience with model evaluation, benchmarking, and explainability tools.


• Proficiency with GitHub, VS Code, JIRA, and modern engineering workflows.

Preferred Skills:

• Experience in Agile development environments and cross-functional collaboration.


• Background in deploying and operating services on OpenShift or similar platforms.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.


• Opportunities for growth with global clients.


• A supportive, inclusive culture that values innovation and people.


• Exposure to cutting-edge technologies and projects.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.