Design, develop, deploy, and optimize enterprise-grade Generative AI solutions, intelligent agents, and AI-powered applications using advanced AI frameworks.
Compensation
$40.00 - $37.00/Hour on W2 (Without Benefits)
Responsibilities
Develop, maintain, and deploy AI applications using Python.
Design and implement chain-of-thought prompt pipelines utilizing LangChain for modular, scalable AI workflows.
Build and integrate knowledge graphs with LangGraph to improve data connectivity and reasoning.
Design, build, and deploy AI applications leveraging LLMs such as GPT, Claude, Gemini, Llama, and other foundation models.
Develop Agentic AI solutions capable of autonomous reasoning, planning, tool execution, and decision-making.
Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
Provide L3 production support for mission‑critical applications and services, monitor health, analyze logs and traces, lead incident management, develop automation, and drive SRE best practices.
Compensation
Pay Rate: $45-$50/hr on W2
Responsibilities
Provide L3 production support for mission‑critical applications and services.
Monitor application health, infrastructure performance, and business transactions using Dynatrace and Splunk.
Analyze distributed traces, service flows, logs, metrics, and dependencies to identify and resolve production issues.
Lead and support Major Incident Management (MIM) activities, including Sev‑1 and Sev‑2 incidents.
Conduct thorough Root Cause Analysis (RCA) and implement preventive measures to avoid recurring issues.
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Locations (2)
Sunnyvale, California, United States
Austin, Texas, United States
Compensation
Pay Range: $55-60/Hour on W2/C2C (All Inclusive)
Responsibilities
Design, provision, and manage AWS infrastructure supporting production and non-production database environments.
Build and maintain CI/CD pipelines for database deployments, schema migrations, and configuration management using tools like Jenkins, GitLab CI, CodePipeline, or similar.
Automate infrastructure provisioning using Infrastructure-as-Code (Terraform, CloudFormation, or AWS CDK).
Develop and maintain monitoring, alerting, and observability solutions for database health using tools such as CloudWatch, Prometheus, Grafana, Datadog, or OEM.
Collaborate with DBAs to automate routine database operations: backups, patching, failover/switchover, replication setup (Data Guard, GoldenGate, native replication), and capacity planning.
Seasoned individual contributor focused on CI/CD pipeline engineering, cloud infrastructure, and systems automation to support the Digital Health Home platform.
Compensation
Pay Rate: $55-60.00/hr. on W2
Responsibilities
Implement as much automation as is reasonable to speed up deployments and minimize mistakes.
Maintain and improve enterprise DevOps tools and services, including source control, CI/CD code quality, and deployment platforms.
Monitor system health, troubleshoot issues/incidents, resolve platform issues, and collaborate with Development, QA, Security, and the IT/Ops team.
Designs, develops, tests, debugs, and implement operating systems components, software tools, and utilities.
We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies.
Compensation
base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits
Responsibilities
Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
Drive the development of our search platform with new LLM-enabled generative AI features.
Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise.
Help build a high-performing team with an inclusive and positive team culture.
Requirements
Nice to have: large language models
Nice to have: retrieval augmented generation (RAG)
As a Senior Software Engineer on the GAIL Core Team, you run engagements end to end, apply the standards that keep the practice consistent, and strengthen the tooling and knowledge base the whole program relies on. This is hands-on, customer-facing work.
Compensation
base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Run GAIL and Go-Live Support engagements end to end, from enterprise deployments through to production go-lives, owning delivery and outcomes for the customers you're assigned.
Own the GAIL playbook, understand it deeply, apply it with judgment, follow the required gates and sequences, and flag where it falls short, so the standard stays current.
Use and extend shared GAIL tooling, contributing improvements back so every engineer in the rotation benefits.
Support incoming GAIL engineers through shadowing, pairing, and coaching on early customer interactions.
Capture patterns from your engagements and feed them into the team's knowledge base as reusable assets.
The SDA Operations Center Technical Lead is responsible for driving the resolution of daily onsite challenges associated with flying the SDA satellite constellation, integrating new satellites and system capabilities, coordinating subcontractors and mission partners, and providing day-to-day technical direction to the GDMS engineering team.
Locations (3)
Huntsville, Alabama, United States
Scottsdale, Arizona, United States
North Dakota, United States
Compensation
USD $183371.00 - USD $203428.00 /Yr.
Responsibilities
Provides onsite technical leadership for daily constellation operations and associated ground-system activities.
Coordinates GDMS engineering support across mission operations, systems engineering, software, ground systems, networks, cybersecurity, integration, test, and sustainment.
DevOps Engineer
General Dynamics Mission Systems, Inc · Posted Nov 9, 2026