Akiva Technologies LLC
Benefits
401(k)
401(k) matching
Competitive salary
Dental insurance
Flexible schedule
Health insurance
Opportunity for advancement
Paid time off
Profit sharing
Training & development
Vision insurance
Wellness resources
About AKIVA AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies.
Company:
AKIVA Location:
Multiple / Remote Security Clearance:
None Required Employment Type:
Full-Time / Contract / Project-Based / Part-Time
Position Overview AKIVA is seeking
AI Engineers across multiple experience levels (Junior, Mid-Level, Senior, and Subject Matter Expert)
to design, build, integrate, and operate
production-grade AI and agentic systems
supporting enterprise and government programs. This role supports
regulated, compliance-driven environments , including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency. AI Engineers at AKIVA work across the full lifecycle—from strategy and architecture through deployment and production support—delivering
secure, scalable, and auditable AI solutions , including
multi-agent systems, orchestration frameworks , and agent-based task coordination for complex workflows.
Key Responsibilities (All Levels)
Design, develop, and maintain
AI-enabled and agentic systems
for enterprise and government use cases.
Build and operate
multi-agent workflows , including agent coordination, orchestration, and tool invocation.
Develop secure
data pipelines
for ingestion, transformation, and validation.
Integrate AI solutions with enterprise platforms and systems using
REST APIs , SQL Server, and secure file transfer.
Support
production dashboards, automation scripts, and scheduled/overnight processes .
Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations.
Contribute to or lead
DevOps, MLOps, and AgentOps
practices, depending on level.
Ensure solutions comply with
data security, governance, and audit requirements .
Document systems, workflows, and AI behavior to support compliance and operational continuity.
Required Qualifications (Level-Appropriate)
Experience in
software engineering, AI/ML, data engineering, or enterprise systems , commensurate with level.
Proficiency in
Python
and
SQL
(SQL Server preferred).
Experience working with
REST APIs
and integrated enterprise systems.
Familiarity with
cloud-based environments
(Azure, AWS, or equivalent).
Understanding of
AI/ML concepts , including model deployment and lifecycle management.
Exposure to or experience with
agent-based systems, orchestration, or workflow automation .
Experience supporting or contributing to
production systems .
Preferred Qualifications
Experience with
multi-agent systems , agent orchestration frameworks, or agentic platforms.
Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks).
Experience with
monitoring and observability tools .
Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards.
Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments.
Tools, Technologies & Frameworks
Languages:
Python, SQL, PowerShell/Bash
Databases:
SQL Server
AI & Agentic Systems:
LLM-based agents, multi-agent orchestration frameworks, vector databases
Integration:
REST APIs, FTP/SFTP
Cloud:
Azure, AWS, GCP
DevOps & Ops:
CI/CD pipelines, infrastructure as code, monitoring and logging tools
Visualization:
Power BI, Tableau, or custom dashboards
Methodologies & Practices
Agile / Scrum
Secure Software Development Lifecycle (SDLC)
MLOps and
AgentOps
best practices
Data governance, auditability, and compliance controls
Responsible and explainable AI practices
Interested in staying connected with AKIVA’s AI initiatives, research, and opportunities? Join our AI Innovation Network here: https://www.akiva.com/ai-network
Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool.
AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).
This is a remote position.
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401(k)
401(k) matching
Competitive salary
Dental insurance
Flexible schedule
Health insurance
Opportunity for advancement
Paid time off
Profit sharing
Training & development
Vision insurance
Wellness resources
About AKIVA AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies.
Company:
AKIVA Location:
Multiple / Remote Security Clearance:
None Required Employment Type:
Full-Time / Contract / Project-Based / Part-Time
Position Overview AKIVA is seeking
AI Engineers across multiple experience levels (Junior, Mid-Level, Senior, and Subject Matter Expert)
to design, build, integrate, and operate
production-grade AI and agentic systems
supporting enterprise and government programs. This role supports
regulated, compliance-driven environments , including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency. AI Engineers at AKIVA work across the full lifecycle—from strategy and architecture through deployment and production support—delivering
secure, scalable, and auditable AI solutions , including
multi-agent systems, orchestration frameworks , and agent-based task coordination for complex workflows.
Key Responsibilities (All Levels)
Design, develop, and maintain
AI-enabled and agentic systems
for enterprise and government use cases.
Build and operate
multi-agent workflows , including agent coordination, orchestration, and tool invocation.
Develop secure
data pipelines
for ingestion, transformation, and validation.
Integrate AI solutions with enterprise platforms and systems using
REST APIs , SQL Server, and secure file transfer.
Support
production dashboards, automation scripts, and scheduled/overnight processes .
Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations.
Contribute to or lead
DevOps, MLOps, and AgentOps
practices, depending on level.
Ensure solutions comply with
data security, governance, and audit requirements .
Document systems, workflows, and AI behavior to support compliance and operational continuity.
Required Qualifications (Level-Appropriate)
Experience in
software engineering, AI/ML, data engineering, or enterprise systems , commensurate with level.
Proficiency in
Python
and
SQL
(SQL Server preferred).
Experience working with
REST APIs
and integrated enterprise systems.
Familiarity with
cloud-based environments
(Azure, AWS, or equivalent).
Understanding of
AI/ML concepts , including model deployment and lifecycle management.
Exposure to or experience with
agent-based systems, orchestration, or workflow automation .
Experience supporting or contributing to
production systems .
Preferred Qualifications
Experience with
multi-agent systems , agent orchestration frameworks, or agentic platforms.
Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks).
Experience with
monitoring and observability tools .
Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards.
Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments.
Tools, Technologies & Frameworks
Languages:
Python, SQL, PowerShell/Bash
Databases:
SQL Server
AI & Agentic Systems:
LLM-based agents, multi-agent orchestration frameworks, vector databases
Integration:
REST APIs, FTP/SFTP
Cloud:
Azure, AWS, GCP
DevOps & Ops:
CI/CD pipelines, infrastructure as code, monitoring and logging tools
Visualization:
Power BI, Tableau, or custom dashboards
Methodologies & Practices
Agile / Scrum
Secure Software Development Lifecycle (SDLC)
MLOps and
AgentOps
best practices
Data governance, auditability, and compliance controls
Responsible and explainable AI practices
Interested in staying connected with AKIVA’s AI initiatives, research, and opportunities? Join our AI Innovation Network here: https://www.akiva.com/ai-network
Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool.
AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).
This is a remote position.
#J-18808-Ljbffr