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Remote Rf Engineer Jobs in Northampton, MA (NOW HIRING)

Knak Digital

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

Remote (US only) Compensation: $130,000 to $150,000 A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade ...

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Remote Rf Engineer information

See Northampton, MA salary details

$36.9K

$117.2K

$182.3K

How much do remote rf engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote rf engineer in Northampton, MA is $117,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a Remote RF Engineer job?

A Remote RF Engineer is a professional who designs, analyzes, and optimizes radio frequency (RF) systems while working remotely. They focus on tasks such as network planning, signal analysis, interference mitigation, and equipment testing for industries like telecommunications, aerospace, and defense. Using specialized software and tools, they ensure effective wireless communication without being physically present at a work site. This role requires knowledge of RF principles, antenna design, and wireless standards. Strong problem-solving skills and experience with RF simulation tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Remote Rf Engineer position, and why are they important?

To thrive as a Remote RF Engineer, you need a strong background in radio frequency theory, wireless communication, circuit design, and a relevant engineering degree. Familiarity with RF simulation tools (such as CST, HFSS, or ADS), spectrum analyzers, and certifications like a Professional Engineer (PE) license or relevant vendor certifications are highly valued. Excellent problem-solving, self-management, and clear written and verbal communication skills distinguish top candidates. These skills are crucial as RF Engineers must independently analyze, design, and troubleshoot complex wireless systems while effectively collaborating with distributed teams.

What are the typical daily responsibilities of a Remote RF Engineer?

As a Remote RF Engineer, your daily responsibilities often include designing, simulating, and testing RF circuits and systems, diagnosing performance issues, and optimizing wireless networks from a remote location. You may collaborate virtually with cross-functional teams, prepare technical reports, and participate in project meetings. Many remote RF Engineers also support field teams by analyzing remote test data and providing guidance on troubleshooting. The role requires strong self-discipline and proactive communication to ensure timely project delivery and effective teamwork.
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AI Engineer

Knak Digital

Becket, MA • Remote

$130K - $150K/yr

Full-time

Posted 15 days ago

Job description

AI Engineer Location: Remote (US only) Compensation: $130,000 to $150,000

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance