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Agentic Developers Jobs in Vermont (NOW HIRING)

Agentic AI Engineer Location: US - Remote / Hybrid (multiple locations) Type: Full-time or Contract (W2/C2C) Level: Mid Senior ConglomerateIT (CGIT) is building out its agentic AI bench to meet ...

Software Engineer, Backend

Montpelier, VT · On-site

$152K - $219K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

Agentic Developers information

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

What are the key skills and qualifications needed to thrive as an Agentic Developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Vermont? For Agentic Developers jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Vermont look for? The top searched job categories for Agentic Developers jobs in Vermont are:
Agentic AI Engineer

Agentic AI Engineer

ConglomerateIT

Georgia, VT • On-site

Other

Posted 13 days ago


Job description

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

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 Google Cloud Platform)

  • 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, 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.