AI Engineer

Job Description

Job Description

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off

Company Overview

Wisetek Providers, Inc. is a business and Information Technology (IT) consulting firm, located in Fairfax, Virginia. We specialize in providing innovative business and IT services to our clients by leveraging our diverse expertise in business, technology, finance, and management consulting.
 
We collaborate with our clients to identify their needs and explore new growth opportunities, create innovative and integrated solutions to solve their problems, and optimize their overall performance. In addition to providing IT and business consulting services we also specialize in managing software development projects for our clients.

 
4 TO 6 YEARS OF EXPERIENCE

Salary Range: Based on the experience

Essential Job Functions:
Architect and Implement AI Solutions

• Design and build RAG pipelines using Azure AI/Search and vector databases: chunking, embeddings, hybrid/semantic ranking, re-ranking, evaluation, and citation display.
• Build enterprise conversational systems (multi-turn, retrieval-grounded) with prompt lifecycle management, guardrails, audit logging, and telemetry.
• Support multiple LLMs and modalities: Azure OpenAI, Llama (Meta), Claude, etc.., and task-specific OSS models (vision, speech), with policy-driven model routing for performance, safety, and cost.

 
Integrate and Operate AI Infrastructure

• Implement Model Context Protocol (MCP) servers integrating with project related areas.
• Provide tool functions with RBAC scopes, schema versioning, rate limiting, request/response validation, and audit trails.
• Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent telemetry and policy enforcement.
• Use Azure Batch for large-scale, parallel inferencing/vectorization jobs; leverage AWS EMR for distributed data/feature processing in AI pipelines.

 
Develop and Manage Data Pipelines

• Build ingestion and enrichment for RAG connectors and ETL/ELT: document normalization, PII redaction, metadata enrichment, SLA/SLO monitoring, and lineage.
• Operate large-scale vectorization with quality gates and drift monitoring.
• Use Azure Data Factory (ADF) and Azure Databricks for orchestrated, scalable data processing; use AWS EMR for Hadoop/Spark workloads supporting AI features.

 
Build Agentic AI Solutions

• Design secure tool-calling and multi-agent orchestration using Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, and LangChain or others.
• Know how to apply agent governance and MCP-based controls across heterogeneous agents and runtimes (register, observe, govern, retire).

 
Model Evaluation and Optimization

• Evaluate and fine-tune open-source and proprietary models; optimize for quality, latency, safety, and cost with A/B and offline eval suites.
• Implement CI/CD with automated tests, security scans. Have knowledge on how to secure model workloads.