AI / ML Developer

Peraton Inc.; United States; Remote; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

Peraton is seeking a Software Engineer to advance agentic AI systems and production‑grade AI solutions in a cloud analytics setting. You will design and implement MCP‑based integrations, work with LangChain/LlamaIndex, and mentor developers across cross‑functional teams.

You will translate complex requirements into scalable AI workflows, ensure robust CI/CD practices, and collaborate closely with product and engineering teams to deploy secure, governance‑driven AI capabilities across cloud

Qualifikationen

• Software engineering background with production‑grade apps
• Experience building agentic AI systems (planning, tool-use, multi‑step reasoning)
• Hands‑on MCP‑based integrations, tool interfaces, or model‑driven service frameworks
• Translate ambiguous business requirements into scalable AI solutions
• LLM development practices incl. fine‑tuning, RAG, prompts, and agent workflows
• Strong Python development and familiarity with distributed compute, APIs, microservices, cloud‑native architectures
• Experience integrating agents/LLM components into cloud platforms (Azure, AWS, GCP) or large‑scale data ecosystems
• Understanding of LLMOps/MLOps: versioning, testing, deployment automation, monitoring, governance
• Lead solution design, mentor developers, communicate AI architectures to stakeholders
• Version control and CI/CD (Git/GitHub), automated testing, deployment pipelines, release management

Aufgaben

• Develop and validate AI/LLM proof‑of‑concepts in cloud analytics environments
• Collaborate with product and engineering teams to design integrations and demos
• Build scalable data workflows and governed MLOps practices
• Communicate platform updates to technical and non‑technical stakeholders

Kenntnisse

Agentic AI systems development

Python development

LLM deployment & MLOps

Cloud platforms (Azure AWS GCP)

MCP-based integrations design

CI/CD & GitHub

Distributed compute & microservices

Mentoring developers

Stakeholder communication

Ausbildung

BS/BA in Computer Science or related

MS/MA in related field

Tools

LangChain

LlamaIndex

Databricks

Snowflake

Kubernetes

Jobbeschreibung

5 years with BS/BA; 3 years with MS/MA; 0 years with PhD

Mandatory Requirements:

• 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, balancing technical feasibility with real-world impact.
• Proficiency with LLM development practices including fine‑tuning, RAG integration, prompt engineering, and interaction models for agent workflows.
• Strong Python development skills and familiarity with distributed compute environments, APIs, microservices, and cloud‑native architectures.
• Experience integrating agents or LLM‑driven components into cloud platforms (Azure, AWS, GCP) or large‑scale data ecosystems.
• Understanding of LLMOps/MLOps principles including versioning, testing, deployment automation, monitoring, and governance for agentic systems.
• Demonstrated 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 (e.g., Git/GitHub), including automated testing, deployment pipelines, and release management for production systems.
• US Citizen with the ability to obtain/maintain a Public Trust clearance.

Preferred Requirements:

• Experience building or contributing to multi‑agent systems or coordinated agent workflows.
• Familiarity with frameworks such as LangChain, LlamaIndex, Strands Agents, LangGraph, CrewAI.
• Knowledge of evaluating agent performance, implementing guardrails, or designing safe action‑execution patterns.
• Hands‑on work with vector databases, embedding models, or advanced retrieval techniques.
• Experience integrating agentic components into large‑scale analytics or data platforms (e.g., Databricks, Snowflake).
• Background in data exploration or data modeling to support agent‑driven decision processes.
• Experience building AI‑focused prototypes or experimenting with emerging agentic patterns in rapid‑iteration environments.
• Familiarity with optimization techniques such as model routing, response validation layers, or inference acceleration.
• Familiarity with systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows.

The Software Engineer will operate in a fast‑paced innovation environment, rapidly developing and validating proof‑of‑concepts for advanced AI and machine learning use cases. The role centers on experimenting with cutting‑edge analytics tools, integrating them into a cloud‑based analytics ecosystem, and helping move successful concepts toward operational deployment. Responsibilities include hands‑on data exploration, prototyping, workflow automation, and contributing to secure, well‑governed MLOps practices. The Software Engineer will work closely with engineering and product teams to evaluate emerging tools, build technical demonstrations, document integrations, and communicate platform updates in a highly collaborative setting. data platform fluency, and agility to support cross‑functional teams.