Python Agentic AI Engineer
Pelham, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Pelham, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Yonkers, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Yonkers, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Cresskill, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Cresskill, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Yonkers, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Yonkers, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Bronx, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Bronx, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Queens, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Queens, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Demarest, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Demarest, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Dumont, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Dumont, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Flushing, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Flushing, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Bronx, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Bronx, NY · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Cresskill, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Python Agentic AI Engineer
Cresskill, NJ · On-site
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. * Develop RAG solutions using embeddings and vector databases.
Prompt Engineering information
See Norwalk, CT salary details
$32.6K - $38.4K
9% of jobs
$38.4K - $44.1K
6% of jobs
$48.3K is the 25th percentile. Wages below this are outliers.
$44.1K - $49.9K
14% of jobs
$49.9K - $55.6K
10% of jobs
The median wage is $61.4K / yr.
$55.6K - $61.4K
12% of jobs
$61.4K - $67.1K
9% of jobs
$71.6K is the 75th percentile. Wages above this are outliers.
$67.1K - $72.9K
21% of jobs
$72.9K - $78.6K
5% of jobs
$78.6K - $84.4K
6% of jobs
$84.4K - $90.1K
4% of jobs
$90.1K - $95.9K
4% of jobs
$32.6K
$63.2K
$95.9K
How much do prompt engineering jobs pay per year?
As of Sep 4, 2026, the average yearly pay for prompt engineering in Norwalk, CT is $63,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $72,300.00 per year, depending on experience, location, and employer.
What is prompt engineering?
A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.
What skills and qualifications are needed for prompt engineering?
To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.
What are the most common challenges faced by prompt engineers in their daily work?
Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.
Is prompt engineering still in demand?
Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.
What do you do as a prompt engineer?
A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.
What are popular job titles related to Prompt Engineering jobs in Norwalk, CT?
For Prompt Engineering jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Norwalk, CT look for?
The top searched job categories for Prompt Engineering jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Prompt Engineering jobs?
Cities near Norwalk, CT with the most Prompt Engineering job openings:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications.
Roles and Responsibilities
- Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK.
- Build agent workflows, tool calling, orchestration, and context management capabilities.
- Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques.
- Develop RAG solutions using embeddings and vector databases.
- Build and integrate REST APIs, microservices, and event-driven architectures.
- Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL.
- Deploy and manage cloud-native applications on AWS.
- Support data pipelines/ETL, application security, scalability, and resilience.
- Implement AI observability, evaluation, security, governance, and guardrails.
- Apply Domain-Driven Design (DDD), agile methodologies, testing, and code-review best practices.
- Collaborate with product, engineering, data science, design, and business teams.
Required Skills & Experience
- 7+ years of professional software engineering/system architecture experience.
- Strong expertise in Python, particularly Django and GraphQL.
- Hands-on experience with AI agent development using Google ADK or Agent SDK.
- Strong experience with LLM integration, prompt engineering, and agent orchestration.
- Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding.
- Hands-on experience building RAG applications, vector databases, and embeddings.
- Strong experience with AWS cloud-native application development.
- Experience with REST APIs, microservices, SOA, and event-driven architectures.
- Experience with PostgreSQL and data pipelines/ETL.
- Knowledge of AI observability, evaluation, security, governance, and guardrails.
- Strong understanding of scalable, resilient, and production-ready system architecture.
- Strong collaboration and communication skills.
Preferred Skills
- React and Apollo GraphQL
- Domain-Driven Design (DDD)
- Agile methodologies
- AI evaluation frameworks
- CI/CD and automated testing
- Experience working in collaborative, in-person engineering environments
About 2T Consulting
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US