AI/ML Engineer

ABOUT EVERGREEN

Evergreen is the professional services division of Insight Global. At our core, we are innovative problem solvers who add value through talent and technology. We hire for long-term growth and fulfillment while fostering a people-first culture that supports one another and strives to Be the Light to the world around us. With access to talent in 50+ countries and delivery capabilities globally, we deliver world-class technical and talent services to Fortune 500 clients to power innovation and transformation.

We hire for people who embody our Shared Values: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character and Hard Work Above All Else, Always Know Where You Stand, Unity in Diversity, and Hustle & Grit.

These values are the fabric of our company. This is who we are, this is what we live by, and this is what shapes everything we do.

ABOUT THIS ROLE

Evergreen’s AI Foundry team is hiring senior engineers to build production-grade AI systems at scale. In this single requisition, we’re hiring across three specializations and will match candidates to the best fit through the interview process:

• Track A — Generative AI (LLMs & RAG)

• Track B — AI Agent Engineering (Multi Agent Orchestration)

• Track C — Computer Vision (OCR, Detection, Video Analytics)

You’ll design, ship, and optimize AI solutions that integrate with enterprise platforms and data, leveraging one of the hyperscaler cloud services. Please indicate your primary track(s) in the application.

WHAT YOU’LL DO

Core (Applies to all Tracks)

• Design and deliver production AI services with clear SLOs for latency, cost, reliability, and scalability.

• Partner across data, security, and product teams to integrate AI into real enterprise workflows with proper governance, guardrails, and human-in-the-loop controls.

• Establish evaluation frameworks and telemetry for model quality, groundedness, and safety; turn insights into continuous improvements.

• Write high-quality Python and build robust pipelines on Azure (plus cross-cloud integration as needed).

• Document architectures, patterns, and runbooks; mentor engineers and contribute to reusable components.

Track Options (Role-Specific Additions)

Track A — Senior Generative AI Engineer (LLMs & Advanced RAG)

• Design and implement LLM based applications using Azure OpenAI and frameworks such as LangChain, LangGraph, CrewAI.

• Develop prompt engineering strategies and maintain prompt registries.

• Build retrieval augmented generation (RAG) with vector databases for domain grounding (e.g., FAISS, Pinecone).

• Define and automate LLM evaluation for accuracy, groundedness, and safety.

• Collaborate with agent and ML teams to embed LLM capabilities across workflows.

Track B — Senior AI Agent Engineer (Multi Agent Orchestration)

• Build multi agent systems with frameworks like LangGraph, AutoGen, or Semantic Kernel.

• Integrate tools, APIs, and ML services; manage state, memory, and planning.

• Implement guardrails, safety checks, RBAC, and human in the loop mechanisms.

• Develop monitoring/observability for agent reliability and outcomes; tune for cost and latency.

• Leverage workflow engines, queues, and distributed systems patterns.

Track C — Senior Computer Vision Engineer (OCR, Detection, Video)

• Build and deploy CV models with PyTorch using YOLO / Detectron2 (and related libraries).

• Implement OCR and document understanding pipelines for structured data extraction.

• Optimize inference using ONNX, TensorRT, and GPU acceleration.

• Integrate CV outputs with LLMs/agents for end to end multimodal solutions.

• Ensure privacy and security for image/video data.

WHAT YOU’LL NEED TO SUCCEED

• Bachelor’s in computer science, AI/ML, or related field; or equivalent practical experience.

• 5+ years of hands on software development in at least one of:

•AI/ML (incl. LLMs/RAG), backend/distributed systems, or computer vision.

• Strong Python; production experience with at least one of: LangChain / LangGraph / Semantic Kernel (or equivalent), PyTorch, and modern orchestration patterns.

• Cloud ML experience with Azure AI Foundry / Azure ML; familiarity with Google Vertex AI and/or AWS SageMaker is a plus.

• Working knowledge of evaluation/telemetry for model quality, safety, and groundedness; commitment to responsible AI.

• Track record of shipping secure, compliant solutions in enterprise settings.

Preferred Qualifications

• Advanced degree (Master’s) in AI/ML or related field.

• Generative AI: Experience with fine tuning (e.g., LoRA, PEFT), vector DBs (FAISS, Pinecone), and RAG optimization.

• Agent Engineering: Familiarity with reinforcement learning basics or structured planning; experience with workflow engines, message queues, and state management; understanding of enterprise security and RBAC.

• Computer Vision: Experience with vision language/multimodal models; Azure Cognitive Services for Vision; synthetic data generation for CV tasks.