AI/ML Developer

Peraton

. Rapidly develop and validate proof-of-concepts for advanced AI and machine learning use cases .

Posted 11/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $86,000 - $138,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI and machine learning solutions, with a strong focus on MLOps practices, cloud-based integrations, and advanced analytics tools. Proficient in Python development and capable of translating complex requirements into scalable AI-driven applications.

Highest-signal resume keywords

AI System DevelopmentMLOps PracticesPython DevelopmentCloud IntegrationData Exploration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DevelopmentMachine LearningPythonMCP-Based IntegrationsLLM Development PracticesVersion ControlCI/CD PracticesData ModelingPrototypingAutomated Testing

Soft Skills

CollaborationCommunicationMentoringProblem-SolvingLeadership

Tools & Technologies

AzureAWSGCPGit/GitHubDatabricksSnowflakeLangChainLlamaIndexStrands AgentsCrewAI

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

MLOpsLLMOpsData EcosystemsHIPAA ComplianceSecurity StandardsAnalytics ToolsAgentic SystemsMulti-Agent SystemsEmbedding ModelsRetrieval Techniques

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservicesPythonSnowflake

About the role

Key responsibilities & impact

Rapidly develop and validate proof-of-concepts for advanced AI and machine learning use cases
Experiment with cutting-edge analytics tools
Integrate analytics tools into a cloud-based analytics ecosystem
Help move successful concepts toward operational deployment
Perform hands-on data exploration
Prototype AI and machine learning solutions
Automate workflows
Contribute to secure, well-governed MLOps practices
Work closely with engineering and product teams to evaluate emerging tools
Build technical demonstrations
Document integrations
Communicate platform updates in a collaborative setting

Requirements

What you’ll need

5 years of experience with BS/BA; 3 years with MS/MA; 0 years with PhD
Software engineering background with deep experience building production-grade applications and services
Expertise developing agentic AI systems, including planning, tool use, multi-step reasoning, workflow execution, or autonomous decisioning logic
Hands-on experience designing and implementing MCP-based integrations, tool interfaces, or model-driven service frameworks
Ability to translate ambiguous business or mission requirements into scalable AI-driven solutions
Proficiency with LLM development practices including fine-tuning, RAG integration, prompt engineering, and agent workflow interaction models
Strong Python development skills
Familiarity with distributed compute environments, APIs, microservices, and cloud-native architectures
Experience integrating agents or LLM-driven components into Azure, AWS, GCP, or large-scale data ecosystems
Understanding of LLMOps/MLOps principles including versioning, testing, deployment automation, monitoring, and governance
Ability to lead solution design, mentor developers, and communicate complex AI architectures to technical and non-technical stakeholders
Experience with version control and modern CI/CD practices such as Git/GitHub, automated testing, deployment pipelines, and release management
US citizenship
Ability to obtain and maintain a Public Trust clearance
Preferred: experience with multi-agent systems or coordinated agent workflows
Preferred: familiarity with LangChain, LlamaIndex, Strands Agents, LangGraph, or CrewAI
Preferred: knowledge of agent performance evaluation, guardrails, or safe action-execution patterns
Preferred: hands-on work with vector databases, embedding models, or advanced retrieval techniques
Preferred: experience integrating agentic components into Databricks, Snowflake, or other large-scale analytics/data platforms
Preferred: background in data exploration or data modeling
Preferred: experience building AI-focused prototypes or experimenting with emerging agentic patterns
Preferred: familiarity with model routing, response validation layers, or inference acceleration
Preferred: familiarity with HIPAA and federal security standards, including encryption, access controls, auditability, and governance for PHI within AI/LLM workflows

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Health savings account
Short-term and long-term disability
Employee assistance program (EAP)
Parental leave
401(k)
Paid time off (PTO) for vacation
Company-paid holidays
Potential overtime eligibility
Potential shift differential
Discretionary bonus eligibility