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Agent To Agent Engineer Jobs

2 jobs found

1mo ago

AI Engineer

Rockland Trust Massachusetts

Massachusetts

1mo ago Closed

Full time Python Agent To Agent AI

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Rockland Trust is seeking an experienced AI Engineer to design, develop, and deploy advanced machine learning and generative AI solutions. The role centers on building intelligent systems that blend traditional ML methods with cutting edge generative technologies to drive business value. The position is onsite in Massachusetts and calls for a minimum of five years of relevant experience.

Responsibilities

Design, develop, and deploy production‑grade machine learning models and generative AI applications using modern frameworks and methodologies
Build and optimize Retrieval Augmented Generation pipelines for enterprise knowledge systems and intelligent document processing
Implement Model Context Protocol and agent-to-agent context engineering solutions to orchestrate complex AI workflows
Develop feedback loops and monitoring systems to continuously improve model performance and ensure reliability
Architect and maintain MLOps pipelines for model training, versioning, deployment, and monitoring
Create AI agents using LangChain and LangGraph to enable autonomous decision making and workflow automation
Collaborate with data engineering teams to construct robust data pipelines and feature engineering workflows
Mentor junior data scientists and contribute to the development of AI best practices and standards

Requirements

5+ years of experience in data science, machine learning, or a related field
Strong expertise in generative AI technologies including large language models, prompt engineering, and context management
Hands-on experience building RAG systems with vector databases and semantic search
Proficiency with LangChain, LangGraph, and agent-based architectures
Experience with Model Context Protocol and A2A context engineering patterns
Deep understanding of traditional machine learning algorithms such as regression, classification, clustering, and time series
Strong MLOps experience including CI/CD pipelines, model versioning, and monitoring frameworks
Proficiency with the Hugging Face ecosystem (Transformers, Datasets, Hub)
Experience with TensorFlow and/or PyTorch for model development
Strong Python programming skills with production‑grade code development experience
Experience designing and implementing feedback loops for continuous model improvement
Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment
Excellent communication skills with the ability to explain complex technical concepts to non‑technical stakeholders

Technologies

Python, SQL, TensorFlow, PyTorch, scikit-learn
LangChain, LangGraph
Hugging Face, Transformers, Datasets, Hub
Docker, Kubernetes
MLflow, Weights & Biases
AWS, Azure, GCP
Pandas, NumPy
Pinecone, Weaviate, Chroma
OpenAI API, Anthropic Claude API
Transformers, Datasets, Hugging Face Hub
Git

Benefits

Competitive compensation with performance incentive awards
Health Insurance
Dental Insurance
401K plan
DC Plan
Long-term Disability Insurance
Life Insurance
Day Care Reimbursement
Tuition Assistance for graduate and undergraduate programs
Award-winning Wellness program

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1mo ago

Agentic AI Engineer

Booz Allen Hamilton McLean, VA

McLean, VA

1mo ago Closed

$113k - $257k/yr Full time Agent Orchestration Agent To Agent AI

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Onsite Agentic AI Engineer role at Booz Allen Hamilton in McLean, VA, focused on designing and deploying agentic AI solutions across enterprise environments.

Responsibilities

Embed agentic AI capabilities into existing enterprise systems and workflows, covering API integration, process automation, and end-user adoption.
Architect intelligent agents that can reason, plan, and act within complex environments.
Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
Build advanced retrieval augmented generation pipelines that fuse unstructured data with Knowledge Graphs to improve reasoning and context retention.
Fine-tune Small Language Models for domain-specific tasks and optimize performance on edge devices.

Requirements

6+ years of software development experience.
3+ years in cloud environments (AWS and Azure), evaluating architectural tradeoffs, delivering scalable service-based software, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
Experience with Model Context Protocol (MCP) for tool integration, A2A for collaboration, RAG architectures and Knowledge Graphs, memory architectures for long-running agents (episodic, semantic, and working memory), and agent benchmarking frameworks such as GAIA, SWE-bench, or custom eval harnesses.
Experience with tool or function calling patterns across multiple LLM providers.
Experience fine-tuning LLMs or Small Language Models.
Knowledge of modern software design patterns, including microservice design or edge computing.
Ability to translate agentic AI capabilities into practical enterprise workflows bridging technical implementation and business processes.
Adaptability in a rapidly changing environment and the ability to navigate ambiguity.
Ability to obtain a Secret security clearance.
Bachelor’s degree in Computer Science or Computer Engineering.

Technologies

AWS, Azure
LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, LlamaIndex
Model Context Protocol (MCP), Agent-to-Agent (A2A)
Knowledge Graphs, Small Language Models (SLMs)
TensorFlow, PyTorch, llama.cpp, vLLM
Cursor, Windsurf
GAIA, SWE-bench

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Work model

Remote: May require in-person work at Booz Allen or customer facilities on occasion.
Hybrid: Frequent in-office work at Booz Allen facilities, with possible customer visits as needed by the role.
Onsite: Primary work performed at Booz Allen offices or customer facilities, with direct collaboration as required.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

Salary range USD 112,800 to 257,000 per year, determined by location, education, experience, skills, and contract-specific considerations.

Identity verification

As part of the hiring process, candidates may undergo identity verification that uses biometrics and artificial intelligence. Interviews and assessments may require being on camera, and Booz Allen may capture images to verify identity and prevent fraud.

Candidate AI usage policy

AI tools are part of Booz Allen's daily work, with an emphasis on responsible use. Use of AI to assist with interview responses is prohibited unless explicit permission is provided.

Non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

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