Top 12 algorithms prompt engineering reinforcement learning from human feedback Jobs

Agentic AI Engineer
Hoffman & Hoffman Inc —Charlotte, NC
- Azure
- Databases
- AWS
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Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
ByteDance —Seattle, WA
- $202,160 - $368,220 a year
- Computer Science
- Doctor of Philosophy
- Fair chance
- Paid parental leave
- Paid holidays
ML Postdoc Researcher - LLMs & Generative AI
Truveta —Seattle, WA
- $50 - $60 an hour
- Full-time
- Remote
- Computer Science
- Analysis skills
- Doctor of Philosophy
Staff Applied AI Agent Developer
Google —New York, NY
- $207,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- System design
AI Researcher (Agentic AI System Architecture)
GenScript/ProBio —Piscataway, NJ
- $85,000 - $145,000 a year
- Computer Science
- System design
- 3 years
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Staff AI/ML Engineering Manager (TS/SCI) {S}
ARKA Group, L.P. —Aurora, CO
- $160,000 - $200,000 a year
- Email
- Background check
- Computer science
- Computer Science
- Paid parental leave
- Health savings account
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Senior Machine Learning Engineer – Engineering Intelligence Systems
Keysight Technologies, Inc. —Calabasas, CA
- $156,740 - $261,230 a year
- Full-time
- Computer Science
- 5 years
- System design
- Health savings account
- Employee stock purchase plan
Senior Architect – Agentic Orchestration Frameworks
Keysight Technologies, Inc. —Calabasas, CA
- $156,740 - $261,230 a year
- Full-time
- Computer Science
- 5 years
- System design
- Health savings account
- Employee stock purchase plan
Sr. Engineer Data Science & Agentic AI
Niagara Bottling —Diamond Bar, CA
- $111,766.36 - $159,267.07 a year
- Full-time
- Microsoft Outlook
- 3 years
- AWS
- Health savings account
- AD&D insurance
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Agentic AI Engineer

Hoffman & Hoffman Inc -
Charlotte, NC

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Job Details

Qualifications

AI models
Performance monitoring
Software engineering
Reinforcement learning
Data privacy management
Azure
Tooling
Workflow management (operations management method)
Enterprise software
Design of experiments
Generative models
Cost control
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Prompt engineering
Databases
Microservices
Event-driven architecture
Key Performance Indicators
Machine learning cloud services
AWS
Model deployment
Continuous integration
REST
Production monitoring
Monitoring system implementation
GraphQL APIs
GraphQL
1 year

Full Job Description

Agentic AI Engineer

What you'll be doing

You'll design, build, and implement autonomous AI agents that reason, plan, and take action across our business — agents that turn messy real-world goals into executable steps, plug into our systems, and deliver an industry-leading experience for our employee-owners and our customers.

Day to day, you will:

Architect agentic systems from the ground up — perception, planning, memory, and tool-use components that complete multi-step workflows autonomously across APIs, internal services, and enterprise applications.
Turn LLM capability into business leverage by integrating frameworks like LangChain, Semantic Kernel, AutoGen, CrewAI, and LangGraph with our data hub and operational systems.
Make agents trustworthy in production — build the monitoring, observability, evaluation pipelines, logging, and safety controls that let us deploy with confidence instead of crossed fingers.
Sit at the table with leadership, sales, and operations, translate what they actually need into agentic workflows, and prove impact with KPIs that move the business — not vanity metrics.
Run experiments, gather feedback, and iterate fast to keep pushing agent performance forward.
Document the craft — architectures, design decisions, limits, and lessons — so the whole company compounds on what you build.

Who you'll be doing it with

This is a team sport, and we play it with people we genuinely like working with.

You'll be part of a small, tight-knit crew of working directly with HVAC and construction industry experts, and business leaders who are passionate about our customers, teammates and business. The kind of team that whiteboards together, creates together, celebrates wins together, and gives each other real feedback without ego. We share ideas openly, pressure-test each other's thinking, and cover for each other.

Our leadership is hands-on and accessible — not a layer of management you escalate to, but teammates you build with. Sales and operations aren't on the other side of a wall; they're in the room helping you figure out what to build and then using what you ship. Because everyone here is an employee-owner, we all work for each other.

If you do your best work around smart, curious, low-drama people who care as much about the mission as the code, you'll fit right in.

What you bring

A strong software engineering foundation with real production chops in Python and backend or data systems.
Hands-on generative AI / agentic AI experience, including at least 1 year building with LLM-based agents, tool use, or multi-agent systems.
Working fluency with one or more agentic/LLM stacks (LangChain, Semantic Kernel, AutoGen, CrewAI, LangGraph) and a major cloud AI platform (Azure OpenAI, Google Cloud, AWS, or equivalent).
Solid grasp of prompt engineering, RAG, and context/memory management for LLM applications.
Experience integrating AI with REST/GraphQL APIs, databases, message buses, and event-driven or microservices architectures.
Familiarity with MLOps/AIOps — CI/CD, monitoring, cost controls, and lifecycle management for AI workloads.

Bonus points

You've designed or operated autonomous agents in complex domains (operations, customer support, finance, healthcare, marketing automation, etc.).
Background in applied ML, reinforcement learning, or planning/decision-making algorithms.
Real-world knowledge of AI safety, governance, and compliance — data privacy, access control, human-in-the-loop workflows.

Why this role is different

You're an owner from day one. We're 100% employee-owned — the tools you build create value you directly share in.
Entrepreneurial, not corporate. Fewer meetings, faster decisions, shorter distance between idea and production.
Real problems, real users. Your agents will be used by your own colleagues and our customers — you'll see the impact, hear the feedback, and produce the fix the same week.
Industry-leading ambition. We're not chasing AI trends. We're building the tools our industry will wish it had — alongside teammates who are as fired up about it as you are.

"As an Agentic AI Engineer here, you'll own the end-to-end lifecycle of AI agents that turn high-level goals into concrete action — connecting LLMs with our data, tools, and products to deliver measurable impact for the people who own this company and the customers who count on us."

This job description is intended to provide information regarding the essential functions and basic duties of this position. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and duties that could be assigned. Additional functions and requirements may be assigned by management as it deems appropriate. This document does not constitute a contract and is subject to change at the discretion of Hoffman & Hoffman, Inc.

EEO Employer/Vets/Disabled

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algorithms prompt engineering reinforcement learning from human feedback jobs

Agentic AI Engineer

Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

ML Postdoc Researcher - LLMs & Generative AI

Staff Applied AI Agent Developer

AI Researcher (Agentic AI System Architecture)

Staff AI/ML Engineering Manager (TS/SCI) {S}

Senior Machine Learning Engineer – Engineering Intelligence Systems

Senior Architect – Agentic Orchestration Frameworks

Sr. Engineer Data Science & Agentic AI

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