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Added 2 mins ago
Software Quality Engineer, Secure Firewall
Cisco
Fulton, MD
Design, implement, maintain, and troubleshoot automated tests using Python-based frameworks and supporting tools.
Added 2 mins ago
AI Security Engineer
Fisher & Phillips LLP
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Automate security validation, testing, monitoring, and enforcement using Python, PowerShell, APIs, CI/CD, infrastructure-as-code, or orchestration tools.
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AI Engineer
SAIC
College Park, MD
Strong Python, SQL, API development, and software engineering skills.
Added 2 mins ago
O
[Remote] Principal Software Developer - Oracle Health
Oracle
Annapolis, MD
- $114,600 to $234,600 USD / year
The OHDS team is looking for a Principal Software Developer to drive the data platform forward. In this role you will collaborate with software architects on system design, serve as the…
Added 2 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Annapolis, MD
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 2 mins ago
Tester (Remote)
GovCIO
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…teams building and modernizing federal digital services on AWS…
Added 2 mins ago
Full Stack Developer (Remote)
GovCIO
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A GovCIO Frontend Developer works inside a cross-functional product team with designers, backend developers, DevOps engineers, and test engineers. The developer builds and maintains modern…
Added 2 mins ago
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Software Engineer 1
Pacific Northwest National Laboratory
Annapolis, MD
- $83,100 USD / year
…successful candidate will design and develop RESTful APIs using Python and FastAPI, build and maintain PostgreSQL databases, implement role-based access control (RBAC) across platform…
Added 3 mins ago
Data Engineer II
Deloitte
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2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
Added 3 mins ago
Lead Integration Engineer II
Deloitte
Baltimore, MD
Experience with Java, Spring Boot, JavaScript, Python, .NET, and/or Microsoft technologies.
Added 9 mins ago
Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
Prologis Management LLC
Denver, CO
Design, operate, and troubleshoot AWS and Azure infrastructure using infrastructure-as-code, serverless, event-driven, and cloud-native architectures.
Added 10 mins ago
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Full Stack Software Engineer
Robert Half
Monroe, NY
- $130,000 to $170,000 USD / year
Back-end experience with Node.js, .NET/C#, Java, Python, or similar.
Added 10 mins ago
Principal Engineer - Java Full Stack
Wells Fargo Bank, N. A.
IRVING, TX · ISELIN, NJ
7+ years of experience in Java 17+, Spring Boot 3.x, Spring Security, Spring Cloud, Hibernate, JPA, Python, Scala REST APIs, and Microservices Architecture
Added 13 mins ago
Software Engineering Manager I
Happy Returns LLC
Atlanta, GA
Expertise in multiple server-side languages such as Go or Python
Added 17 mins ago
Cloud Finops Analyst
Virtasant
Remote, United States
Working knowledge of AWS or GCP billing data and Kubernetes cost allocation
Added 18 mins ago
Senior Cloud Operations Engineer
nCino, Inc.
Wilmington, NC
Someone with several years of hands on AWS experience and comfort scripting in Python or Bash will feel at home here. Sound instincts for securing cloud systems matter just as much, and so…
Added 21 mins ago
Staff Data Platform Engineer - Virtual
Alight Solutions LLC
United States
· Extensive Python engineering skills and experience creating extensible frameworks, reusable abstractions and developer tooling.
Added 21 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Des Moines, IA
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 22 mins ago
AI ML Engineer 6564206
Accenture Flex LLC Company
Dallas, TX
Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
Added 25 mins ago
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Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
Advanced programming expertise in Python, Java, or C++, with a strong grasp of data structures and cloud systems such as AWS, Google Cloud, or Azure.
Added 26 mins ago
Global Cloud Migration Developer
AGFA
Home based, HI
Your primary focus will be building and validating the testing capabilities for migration tools and features supporting customer transitions to our AWS-based cloud platform.
Added 26 mins ago
Data Scientist
Federal Express Corporation
Memphis, TN
Exposure to Machine Learning modeling, including scripting and Machine Learning libraries in R, Python, or similar. Exposure with Cloud platforms, including storage, querying, and advanced…
Added 32 mins ago
Security Engineer, Security for Employee and Legal Systems (SEALS)
Amazon.com Services LLC
Seattle, WA
● Execute security assessments and code reviews for HR and Legal applications using your team's established processes and tooling, primarily in Java, Python, and JavaScript.
Added 32 mins ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
…the highest performance and maximize efficiency running on AWS Trainium. Strong software development in Python, system-level programming, and ML knowledge are all critical to this role. Our…
Added 34 mins ago
Senior Data and AI Integrator
CACI
Offutt AFB, NE · Offutt AFB
Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.

Jobgether

Senior Applied AI Engineer

Remote, United States

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Job details

Experience: At least 7 years of professional software engineering experience, including substantial responsibility for designing and delivering production systems.
Posting language: English
Posted: Oct 30, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Applied AI Engineer based in the United States.

Take a leading role in designing and delivering sophisticated AI-powered applications that solve complex business challenges and create meaningful customer impact. As a senior individual contributor, you will combine hands-on software engineering with technical leadership, guiding small engineering teams through the development of production-grade AI capabilities. You will work across agentic workflows, large language models, retrieval systems, and autonomous business processes to build intelligent, reliable product experiences. Beyond implementation, you will shape architectural decisions, translate ambiguous requirements into actionable plans, and drive initiatives from concept through production. You will also strengthen engineering standards through mentorship, code reviews, and technical guidance. This is an opportunity to influence both the evolution of AI products and the technical maturity of a fast-moving, fully remote organization. Accountabilities

You will lead high-impact AI engineering initiatives while remaining actively involved in implementation, ensuring that technical solutions are scalable, reliable, maintainable, and aligned with business objectives.

Technical Leadership and Delivery

• Lead small engineering teams in designing, developing, and delivering complex AI initiatives.

• Own technical execution throughout the project lifecycle, from initial architecture and implementation to testing, deployment, and ongoing operations.

• Translate ambiguous product requirements into clear technical strategies, actionable engineering tasks, and realistic delivery milestones.

• Drive architectural discussions, assess technical trade-offs, and establish effective implementation approaches.

• Coordinate engineering activities, manage dependencies, resolve blockers, and maintain accountability for delivery commitments.

• Contribute production code and work alongside engineers to solve challenging technical problems.

• Collaborate with Product, Engineering leadership, and business stakeholders to ensure solutions deliver measurable value.

Applied AI Engineering

• Design, build, and maintain production-grade AI applications using LLMs, agentic workflows, retrieval architectures, and backend services.

• Develop advanced agent workflows incorporating tool calling, structured outputs, multi-step reasoning, deterministic validation, and human-in-the-loop controls.

• Build and optimize retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic search, and context assembly.

• Integrate foundation models through platforms such as Amazon Bedrock and AWS AgentCore.

• Develop AI evaluation frameworks using regression testing, golden datasets, trace analysis, and quality measurement.

• Improve production AI systems across reliability, accuracy, latency, observability, and cost efficiency.

• Design robust systems capable of handling unpredictable model behavior, edge cases, operational failures, and real-world production constraints.

• Build and improve orchestration systems, infrastructure, backend services, APIs, and integrations that enable AI systems to interact safely with production applications.

Engineering Excellence and Mentorship

• Raise engineering standards through code reviews, architectural guidance, hands-on mentorship, and technical collaboration.

• Mentor engineers in software design, debugging, testing strategies, system architecture, and production engineering practices.

• Establish best practices for code quality, automated testing, documentation, maintainability, and operational readiness.

• Help engineers strengthen their technical judgment, ownership, independence, and problem-solving capabilities.

• Identify recurring technical weaknesses, unnecessary complexity, and process inefficiencies, and implement improvements.

• Promote engineering practices that prioritize reliability, clarity, testability, and long-term maintainability.

• Lead by example through high-quality implementation, constructive feedback, effective collaboration, and personal accountability.

• Improve development tooling and workflows to increase engineering productivity, software quality, and operational reliability.

Requirements

The ideal candidate is an experienced software engineer with deep practical knowledge of production AI systems, strong Python and backend development skills, and the ability to lead technical initiatives while remaining hands-on.

Required qualifications

• U.S. citizenship or authorization to work in the United States.

• At least 7 years of professional software engineering experience, including substantial responsibility for designing and delivering production systems.

• Strong proficiency in Python and modern backend software engineering.

• Demonstrated experience providing technical leadership for engineering projects or small teams, including architecture, implementation, mentorship, and delivery.

• Proven hands-on experience designing, building, and deploying production AI applications using LLMs, agentic workflows, retrieval systems, or related technologies.

• Strong understanding of backend architecture, APIs, distributed systems, databases, and workflow orchestration.

• Experience designing agentic workflows, tool-calling systems, structured outputs, or retrieval-augmented generation architectures.

• Knowledge of production AI challenges, including model reliability, hallucination mitigation, evaluation, observability, latency, and cost management.

• Commitment to software engineering best practices, including automated testing, code reviews, CI/CD, system design, and maintainability.

• Experience working with cloud infrastructure, preferably AWS.

• Ability to mentor engineers, provide constructive technical feedback, and influence engineering practices.

• Strong technical judgment, debugging capabilities, and the ability to navigate complex systems and ambiguous requirements.

• Ability to balance hands-on engineering contributions with technical leadership responsibilities.

• Excellent communication and collaboration skills, particularly when working across engineering, product, and business teams.

• Adaptability and strong ownership in fast-moving environments where execution and accountability are essential.

Preferred qualifications

• Experience with Amazon Bedrock, AWS AgentCore, Lambda, Step Functions, S3, DynamoDB, RDS, SQS, or related AWS services.

• Familiarity with LangGraph, LangChain, DSPy, Semantic Kernel, or similar agent orchestration frameworks.

• Experience building multi-step autonomous agents that interact with tools, APIs, external systems, or business workflows.

• Experience developing AI evaluation frameworks, prompt regression testing, trace analysis, or human-in-the-loop review systems.

• Familiarity with vector databases and semantic retrieval technologies such as OpenSearch, pgvector, Pinecone, Weaviate, or FAISS.

• Experience with LLM observability and evaluation platforms such as LangSmith, Arize, Helicone, Weights & Biases, or OpenTelemetry.

• Experience leading technical initiatives in startup environments or rapidly scaling SaaS organizations.

• Track record of improving engineering practices, introducing development standards, or strengthening technical maturity across teams.

• Ability to balance technical debt, delivery speed, operational reliability, and long-term architectural decisions.

Personal qualities and success indicators

• Takes ownership and leads through technical expertise, sound judgment, and example.

• Can break down complex technical challenges, establish clear solutions, and guide teams through successful implementation.

• Values engineering craftsmanship while maintaining a pragmatic focus on delivering business value.

• Enjoys mentoring colleagues, challenging assumptions, and helping others become more capable and independent.

• Takes responsibility for both individual contributions and the quality of the work delivered by the teams they support.

• Demonstrates the ability to deliver high-impact initiatives, build reliable and observable AI systems, improve engineering quality, and strengthen the technical capabilities of colleagues.

Benefits

• Fully remote work environment.

• Opportunity to work on advanced AI applications, autonomous agents, and production-scale intelligent systems.

• Significant technical ownership and influence over architecture, engineering practices, and product capabilities.

• Opportunity to lead and mentor engineers while remaining hands-on with implementation.

• Collaborative environment focused on innovation, engineering excellence, and meaningful business outcomes.

• Opportunity to help develop AI solutions supporting nonprofit fundraising and organizations with important social missions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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