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Remote Ai Developer Jobs in Burlington, VT (NOW HIRING)

US -- Remote / Hybrid (multiple locations) · Type: Full-time or Contract (W2/C2C) · Level: Mid-Senior (10+ Years) ConglomerateIT (CGIT) is building out its agentic AI bench to meet surging client ...

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Remote Ai Developer information

See Burlington, VT salary details

$40.2K

$129.9K

$159.1K

How much do remote ai developer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote ai developer in Burlington, VT is $129,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $157,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Developer vs Data Scientist?

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges Remote AI Developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

What are the key skills and qualifications needed to thrive as a Remote AI Developer, and why are they important?

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What are Remote AI Developers?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.
What job categories do people searching Remote Ai Developer jobs in Burlington, VT look for? The top searched job categories for Remote Ai Developer jobs in Burlington, VT are:

Agentic AI Engineer

ConglomerateIT LLC

Georgia, VT • Remote

Contractor

Re-posted 2 days ago


Job description

Title: Agentic AI Engineer
Location: US — Remote / Hybrid (multiple locations) ·
Type: Full-time or Contract (W2/C2C) ·
Level: Mid–Senior (10+ Years)

ConglomerateIT (CGIT) is building out its agentic AI bench to meet surging client demand. We're looking for engineers who have actually shipped AI agents to production — not just prototyped them — and can own the agent loop end to end.

What you'll do

  • Design and build agentic systems: planning loops, tool/function calling, agent memory, and multi-step reasoning

  • Build and tune RAG pipelines (chunking, embeddings, retrieval, re-ranking, grounding)

  • Integrate LLM APIs (OpenAI, Anthropic, Gemini) into reliable, production-grade workflows

  • Deploy agents to cloud, with evals, observability, guardrails, and cost/latency controls

  • Partner with client teams to take agents from PoC to production at scale

Must have

  • Strong Python

  • LangChain and/or LangGraph

  • RAG + a vector DB (Pinecone, Weaviate, pgvector, Qdrant, or similar)

  • Hands-on LLM API experience (OpenAI / Anthropic / Gemini)

  • One cloud (AWS, Azure, or GCP)

  • Demonstrated experience taking at least one agent/LLM system to production

Nice to have

  • MCP, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel

  • LangSmith / LangFuse, FastAPI, Docker/Kubernetes, MLOps/CI-CD

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.