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Remote Rf Optimization Engineer Jobs in Philadelphia, PA

Abacum

AI Engineer

Barrington, NJ · Remote

Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system ... Self-motivated with the ability to work independently in a fast-paced, remote-first environment.

A.C. Coy

Field Technician - Philadelphia/NJ based

Medford, NJ · On-site +1

$19.25 - $26.50/hr

Support Senior Field Engineers on site in assembly, programming, troubleshooting, optimization, and ... Basic knowledge of RF theory, networking, and telecommunications, with experience in ...

Agilent

Adobe Target Lead Engineer

Wilmington, DE · On-site +1

$116.80K - $182.50K/yr

In this role, you'll drive digital optimization through experimentation and personalization ... This is a hybrid role: 2 days remote, 3 days in the office Key Responsibilities: * Own the design ...

AscellaHealth

Cloud Solutions Engineer

Berwyn, PA · On-site +1

$53.50 - $71.50/hr

... optimization of secure, scalable, and highly available cloud solutions on Azure. This role is ... We are open to more remote flexibility for the right person. What the position will be doing

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Remote Rf Optimization Engineer information

See Philadelphia, PA salary details

$37.3K

$118.8K

$184.7K

How much do remote rf optimization engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote rf optimization engineer in Philadelphia, PA is $118,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $140,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are the most commonly searched types of Rf Optimization Engineer jobs in Philadelphia, PA? The most popular types of Rf Optimization Engineer jobs in Philadelphia, PA are:
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Remote Rf Optimization Engineer jobs near you
AI Engineer

AI Engineer

Abacum

Barrington, NJ • Remote

Full-time

Medical, PTO

Posted 8 days ago

Job description

About Abacum

Abacum is the leading Business Planning solution for finance teams to drive performance. By automating reporting, enabling collaboration, and simplifying planning and forecasting, we help finance teams shift from number crunching to driving strategic decisions.

Founded in 2020 by two former CFOs, we’ve grown into a global team of 100+ people across 30+ nationalities. Headquartered in New York, we have offices in Toronto and Barcelona. We’re trusted by industry leaders such as Dish Networks, Strava, BetterUp, Kajabi, JG Wentworth, Abridge, Cortex, and hundreds more.

We have raised over $100m, closing in June 2025 our $60M Series B, led by Scale Venture Partners, with the strong participation of Cathay Innovation, Y Combinator, Atomico, Creandum, and angel operators from Adyen, Zapier, and Twitch.

Our mission is ambitious and we can’t do it alone - join Abacum as we build the future of Business Planning!

Who we are looking for

Abacum is seeking a talented AI Engineer to join our dynamic team AI Labs team. In this role, you won’t just be implementing APIs; you’ll be architecting the future of finance by building and deploying autonomous, agentic applications and build the AI core architecture on the platform.

This is a high-impact opportunity to work at the cutting edge of AI, transforming complex customer challenges into intelligent, scalable solutions.

Responsibilities

  • Drive continuous innovation within AI Labs by researching cutting-edge technologies and experimenting with new PoCs.

  • Design and build sophisticated, multi-provider LLM workflows and autonomous agents capable of advanced reasoning and independent decision-making.

  • Building MCP (Model Context Protocol) agents to bridge the gap between LLMs and our proprietary data ecosystems.

  • Integrate AI capabilities into existing product workflows to automate and enhance core functionality.

  • Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system design through RAG pipelines.

Qualifications

  • Bachelor's degree in Computer Science or a related field.

  • Deep understanding of Large Language Models (LLMs) and their practical applications.

  • Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization techniques.

  • 5+ years of Software engineering background with expertise in Python and cloud platforms.

  • Hands-on experience with AI frameworks such as LangChain and LangGraph.

  • Self-motivated with the ability to work independently in a fast-paced, remote-first environment.

  • Experience with AI evaluation frameworks, benchmarking, and performance optimization.

Bonus

  • Strong experience with AI agent orchestration frameworks and architectures.

  • Background in machine learning or predictive modeling to derive insights from large datasets.

  • Knowledge of AI safety, alignment, and responsible AI development practices.

  • Practical experience working with Vector Databases (e.g., pgvector, Pinecone, Qdrant, etc) for RAG implementations.

Benefits

- Competitive compensation including equity package

- Competitive vacation policy

- Medical Insurance

- L&D budget

- Access to Meditopia (wellbeing platform)

- Language courses (English / Spanish)

Our Values

Customer Obsession: We share the understanding that Abacum's sole purpose is to create value for customers and relentlessly deploy all creativity and energy to that end.

Audacious Ambition: We dream big and embrace discomfort. We assume risks, make on-time mistakes and learn how to methodically accomplish our goals.

Good People: We are self-reflective and praise diversity of thought. We don't justify the end with the means and know where to draw the line. We have fun every day.

Tough Love: We truly care for everyone in the team and embrace honest feedback and radical candor as ways to genuinely help each other.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.