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General Intuition & Medal

<div><h2 class="jobSectionHeader">The Company</h2>
General Intuition
We are the frontier research lab dedicated to building foundation models for environments that require deep spatial and temporal reasoning. For the past year, we've been pushing the forefront of AI across agents capable of navigating space and time, world models that provide training environments for those agents, and video understanding models with a focus on transfer to the real world.
We raised a seed round of $133M from General Catalyst and Khosla to build the leading AI lab for embodied agents.<h2 class="jobSectionHeader">
The Role</h2>
General Intuition and it's sister company Medal operate at the intersection of large-scale gaming data, AI research, and high-velocity product engineering. This role secures the infrastructure that bridges these worlds. You will harden our cloud environments, protect our data pipelines, and ensure our deployment systems are safe from supply-chain attacks and other threats.
You&rsquo;ll design secure-by-default foundations without slowing down research or product teams, blending off-the-shelf security tooling with custom guardrails where necessary. Your work directly reduces operational risk across both General Intuition and Medal, and ensures we maintain trust as we scale sensitive AI workflows and massive creator-driven platforms.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Infrastructure &amp; Cloud Hardening<ul><li>
Reduce the attack surface of GCP workloads, Kubernetes clusters, and on-prem systems through hardened defaults, workload isolation, and IAM discipline.</li><li>
Build automated security guardrails directly into Terraform, CI/CD, and Kubernetes deployments.</li><li>
Maintain comprehensive observability and auditability across all infrastructure components.</li></ul>
Data Pipeline Protection<ul><li>
Harden ingestion and ETL systems used for video and metadata processing</li><li>
Enforce encryption standards, strict IAM scopes, audit logging, and boundary isolation between pipelines and production systems.</li><li>
Ensure complete visibility into the transfer and use of AI training data.</li></ul>
Identity, Access, and Secrets Governance<ul><li>
Build visibility into privileged access and access drift across engineering.</li><li>
Automate key rotation, scoped roles, certificate workflows, and least-privilege baselines.</li><li>
Maintain a full audit of secrets and enforce secure handling across endpoints, services, and pipelines.</li></ul>
Deployment Pipeline &amp; Supply Chain Security<ul><li>
Protect build systems against supply-chain attacks.</li><li>
Ensure all builds and dependencies are scanned and recorded with a verifiable audit trail.</li><li>
Strengthen GitHub Actions runners, workload identities, and artifact provenance.</li></ul>
Operational Security &amp; Compliance<ul><li>
Develop and run drills, tabletop exercises, and incident-response workflows.</li><li>
Coordinate and validate external penetration tests.</li><li>
Conduct internal red-team tests and support threat modeling with engineering.</li></ul>
Ensure we meet compliance requirements relevant to both creator data and AI training data.<h2 class="jobSectionHeader">
Qualifications</h2>
Core Technical Skills<ul><li>
Strong experience with cloud infrastructure (especially GCP), Terraform, Kubernetes, containers, and modern CI/CD processes.</li><li>
Deep security fundamentals: IAM design, network segmentation, least privilege, secure-by-default patterns, and threat modeling.</li><li>
Hands-on experience with GCP/AWS security stacks (IAM, VPC SC, KMS, workload identity, Secrets Manager).</li><li>
Familiarity with infrastructure observability and logging systems (Prometheus, Grafana, Cloud Logging, SIEM).</li><li>
Strong secrets management and PKI experience (Vault or cloud-native equivalents).</li></ul>
Security Expertise<ul><li>
Experience implementing or operating red-team / purple-team exercises.</li><li>
Understanding of secure coding practices and modern software supply-chain risks.</li><li>
Practical experience defending high-velocity environments with complex CI/CD workflows.</li></ul>
Preferred Background<ul><li>
Security Engineer / DevOps hybrid roles at fast-growing mid-stage startups.</li><li>
SREs with a heavy security focus.</li><li>
DevOps engineers who became de-facto security leads in high-growth companies.</li><li>
Backgrounds from organizations with strong infra or security discipline.</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary and meaningful equity</li><li>
Comprehensive health insurance including dental and vision insurance</li><li>
401k</li></ul>
Compensation Range: $150K - $280K</div>

Data Security Engineer

RSC Solutions

<div>
 
 
 
 TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
 
 
 
 LOCATION: New York City (midtown)
 
 HYBRID ONSITE 4 DAYS IN THE OFFICE
 
 NO C2C 3RD PARTY VENDORS!!
 
 NO RELOCATION!!
 
 
 
 
 JOB DESCRIPTION:
 
 EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
 
 
 
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 
 
 
 
 Specific Functions/Activities&nbsp;
 
 
 SUMMARY:
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable AWS-based data architecture
 </li>
 <li>
 
 Develop and optimize production-grade Python data pipelines
 
 </li>
 <li>
 
 Own end-to-end ELT workflows using DBT and Apache Airflow
 
 </li>
 <li>
 Design, implement, and optimize data models to support analytics and operational reporting
 </li>
 <li>
 Improve platform reliability, observability, and performance across the data stack
 </li>
 <li>
 Contribute to architectural decisions for scalability, security, and cost optimization
 </li>
 <li>
 Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
 </li>
 <li>
 Evaluate and recommend new technologies to evolve MSG's data platform
 </li>
 </ul>
 
 REQUIRED EXPERIENCE:
 
 <ul>
 <li>
 
 4-7 years experience building and maintaining production data pipelines
 
 </li>
 <li>
 
 4 years Python development experience (production-grade code)
 
 </li>
 <li>
 
 2 years experience with DBT
 
 </li>
 <li>
 
 2 years experience with Apache Airflow (or equivalent orchestration tools)
 
 </li>
 <li>
 Strong SQL and data modeling expertise (dimensional normalized modeling)
 </li>
 <li>
 Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
 </li>
 <li>
 Experience designing scalable data architectures in cloud environments
 </li>
 <li>
 Experience troubleshooting and supporting production systems
 </li>
 <li>
 Strong communication skills and ability to work directly with business stakeholders
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 <li>
 CI/CD and DevOps practices
 
 </li>
 </ul>
</div>

Senior Data Engineer with DBT and Airflow-Onsite NYC

Keel Infrastructure

<div>Careers at Keel

Keel Infrastructure is a publicly traded energy and digital infrastructure company that develops and owns data centers and power assets across North America.

At Keel, you're not just joining a company, you're helping build the infrastructure behind the future of compute.

Why Keel 


We're at the intersection of energy and technology, two industries transforming in real time.

The work is complex. The pace is fast. The impact is real.

You'll be part of a team that values:
<ul>
<li>Ownership&mdash; we take responsibility and follow through</li>
<li>Collaboration&mdash; we work across teams, functions, and borders</li>
<li>Curiosity&mdash; we ask questions and keep learning</li>
<li>Endurance&mdash; we build for the long term</li></ul> 


 What It Feels Like to Work Here
<ul>
<li>Fast-moving, high-growth, and hands-on</li>
<li>Smart, driven people solving real challengestogether</li>
<li>Work that directly supports AI and next-generation infrastructure</li>
<li>Room to grow, stretch, and take on more</li></ul> 


What We Offer
<ul>
<li>Competitive salary, bonusand equity opportunities</li>
<li>Comprehensive health and wellness benefits</li>
<li>Retirement savings with company contribution</li>
<li>Employee referral program</li></ul> 


We are currently looking for a Senior Data Engineer to join our team. 


Compensation: 


Expected Salary: $120,000 - $170,000 USD 


What You Can Expect from This Role 


The Senior Data Engineer will play a critical role in designing, building, and operating Keel's next-generation data platform. This role is responsible for architecting and implementing a modern Data Lakehouse, establishing a data classification program aligned with a new Data Loss Prevention (DLP) initiative, and partnering closely with business and technical stakeholders to understand, classify, and govern data across the organization.

This position requires strong technical depth in data engineering and architecture, combined with the ability to translate business needs, compliance requirements, and security objectives into scalable and well-governed data solutions. 


Key Responsibilities 


Data Platform &amp; Lakehouse Architecture 

<ul>
<li>Design, implement, and maintain a scalable Data Lakehouse architecture supporting analytics, reporting, and advanced workloads.</li>
<li>Define data ingestion, transformation, and storage patterns for structured, semi-structured, and unstructured data.</li>
<li>Establish best practices for data modeling, partitioning, performance optimization, and cost efficiency.</li>
<li>Ensure high availability, reliability, and data quality across the data platform.</li></ul> 


Data Classification &amp; DLP Enablement 

<ul>
<li>Lead the design and implementation of a data classification framework aligned with Keel's security, compliance, and business requirements.</li>
<li>Partner with Cybersecurity and Compliance teams to support the rollout of a Data Loss Prevention (DLP) program.</li>
<li>Identify, tag, and manage sensitive data (e.g., financial, operational, personal, or regulated data) throughout the data lifecycle.</li>
<li>Ensure data classification is embedded into ingestion pipelines, storage layers, and access controls.</li></ul> 


Stakeholder Engagement &amp; Data Assessment 

<ul>
<li>Work closely with business stakeholders, IT, Security, and Compliance teams to:</li>
<li>Assess existing and new data sources.</li>
<li>Understand data usage, criticality, and sensitivity.</li>
<li>Define classification levels, retention rules, and access requirements.</li>
<li>Translate stakeholder needs into technical data models, pipelines, and governance controls.</li>
<li>Act as a trusted advisor on data architecture, data governance, and data protection topics.</li>
</ul>
Data Governance &amp; Security 

<ul>
<li>Implement data access controls, lineage, and auditability in alignment with internal policies and regulatory requirements.</li>
<li>Support SOX, ITGC, and other compliance-driven data controls as applicable.</li>
<li>Contribute to the definition of data standards, naming conventions, and documentation.</li></ul> 


Operations &amp; Continuous Improvement 

<ul>
<li>Monitor and optimize data pipelines for performance, reliability, and cost.</li>
<li>Troubleshoot and resolve complex data-related issues across environments.</li>
<li>Continuously evaluate new tools, technologies, and patterns to improve the data ecosystem.</li>
<li>Mentor junior engineers and contribute to internal knowledge sharing.</li></ul> 


What We Are Looking For 

<ul>
<li>7+ years of experience in data engineering or data platform roles.</li>
<li>Proven experience designing and implementing data lake and/or lakehouse architectures.</li>
<li>Strong experience with data ingestion, ETL/ELT pipelines, and large-scale data processing.</li>
<li>Solid understanding of data classification, data governance, and data security concepts.</li>
<li>Experience collaborating with security or compliance teams on data protection initiatives (e.g., DLP, data privacy).</li>
<li>Ability to communicate complex technical concepts clearly to non-technical stakeholders.</li></ul> 


More Details 

<ul>
<li>Work schedule: Monday-Friday, New York City office, 4 days on-site, 1 WFH</li>
<li>Job type: Full Time, Permanent</li></ul></div>

Senior Data Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>5 years of experience with security assessments or security design reviews or threat modeling.</li>
<li>5 years of coding experience in one or more general purpose languages.</li>
<li>5 years of experience with security engineering, computer and network security and security protocols.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with Cloud or SaaS security.</li>
<li>Understanding of federated Authentication (AuthN) and Authorization (AuthZ) technologies, including Security Assertion Markup Language (SAML), System for Cross-domain Identity Management (SCIM), and OpenID Connect (OIDC).</li>
<li>Understanding of networking concepts (e.g., protocols, topologies, encryption).</li>
<li>Ability to design and develop new security control implementations.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
There's no such thing as a &quot;safe system&quot; - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities. 
 
You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

As a Security Engineer on this team you will be responsible for securing Google&rsquo;s enterprise usage of Third Party SaaS platforms and products. This includes performing technical security assessments across infrastructure and application security domains and developing remediation plans. You will be responsible for developing new security controls to help scale security across multiple SaaS platforms. 
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Protect Google's enterprise usage of Third party SaaS platforms.</li>
<li>Perform security reviews of incremental changes in existing systems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Security Engineer, SaaS Protection

<div>Job Summary:
The Lead Data Engineer, Tax Product Development, works with the Data Engineering and Integration team to develop and support BDO&rsquo;s Tax Data Warehouse and Tax Data Lake, manage and maintain data ingestion and Extract/Transform/Load (ETL) processes, as well as provide support for the Power BI business intelligence platform and enterprise applications supporting the tax practice.
The Lead Data Engineer builds and maintains tax data pipelines to support ad-hoc analytics and business intelligence applications as well as identify valuable development opportunities and ideas for improvement. This role collaborates closely with the data analytics teams to design, develop, and deploy new solutions that support strategic business priorities.
Job Duties:
<ul><li>Owns end-to-end delivery of large features and systems, defining technical requirements and architecture for data processing and integration solutions
</li><li>Leads design and implementation of major data structures and pipelines within an Agile team focused on data engineering solutions
</li><li>Designs, develops, and tests data products, pipelines, and solutions using web and cloud technologies for innovative data processing and analytics
</li><li>Applies modern software engineering principles throughout the software lifecycle for data-related applications, including ETL/ELT processes and database systems
</li><li>Reviews business requirements for technical feasibility, and collaborates with various teams, including internal developers and external peers, to deliver quality data integration solutions
</li><li>Mentors junior engineers to enhance code quality and ensure compliance with standards in data pipeline and analytics platform development
</li><li>Maintains data products and platforms based on product roadmaps, production support processes, and compliance with IT, security, and business mandates, ensuring data consistency, integrity, and scalability
</li><li>Effectively communicates with stakeholders and cross functional teams such as technical architects and security teams and others
</li><li>Other duties as required
</li></ul>Supervisory Responsibilities:
<ul><li>Acts as a direct supervisor to team members, as assigned
</li><li>Acts as a career advisor, as assigned
</li></ul>Qualifications, Knowledge, Skills, and Abilities:
Education:
<ul><li>Bachelor's degree required; focus in Computer Science, Technology, Engineering, Mathematics (STEM), Finance, or Accounting, preferred
</li></ul>Experience:
<ul><li>Six (6) or more years of experience in a data engineer or related role, required
</li><li>Hands-on experience architecting, building, and optimizing large-scale relational (e.g., SQL Server, PostgreSQL, Oracle) and non-relational (e.g., CosmosDB, MongoDB, Cassandra, DynamoDB) databases to support both OLTP and OLAP workloads, preferred
</li><li>Experience writing and optimizing complex queries, stored procedures, functions, and triggers using SQL and comparable languages for high-volume transactional systems and analytical platforms, preferred
</li><li>Data Definition Language (DDL) and Data Manipulation Language (DML), with experience developing and maintaining database objects (tables, views, indexes, partitions) at scale, preferred
</li><li>Experience with data modeling principles, including normalization, denormalization, star and snowflake schema design, and semantic layer construction for enterprise data warehouses and data lakes, preferred
</li><li>Experience with design and implement ETL/ELT pipelines using modern data engineering frameworks and tools (e.g., Apache Spark, Databricks, Airflow, Talend, Informatica), preferred
</li><li>Experience implementing data governance, data quality, and data security best practices in large, distributed environments, preferred
</li><li>Tax experience, preferred
</li><li>Public accounting experience, preferred
</li></ul>License/Certifications:
<ul><li>Microsoft Azure Data Engineer, preferred
</li></ul>Software:
<ul><li>One or more programming languages such as Python, Java, C#, C++, or Scala, with a focus on data engineering applications, required
</li><li>Experience with the following products, preferred:
<ul><li>Microsoft Office Suite
</li><li>Microsoft Azure DevOps or GitHub
</li><li>Microsoft SQL Server and/or Azure SQL DB
</li></ul></li></ul>Other Knowledge, Skills, &amp; Abilities:
<ul><li>Ability to work well in hybrid and remote environments
</li><li>Solid verbal and written communication skills
</li><li>Strong interpersonal and customer relationship skills, including training/instruction with professionals at all levels
</li><li>Sound decision-making skills
</li><li>Ability to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
</li><li>Capable of successfully multi-tasking while working independently or within a group environment
</li><li>Ability to rely on extensive experience and judgment to plan and accomplish goals
</li><li>Capable of working well under pressure while dealing with unexpected problems in a professional manner
</li>Ability to communicate and interact with all levels of employees and management 
<li>
</li></ul>Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate&rsquo;s qualifications, experience, skills, and geography. 
 
National Range: $140,000 - $210,000
 
Maryland Range: $140,000 - $210,000
 
NYC/Long Island/Westchester Range: $140,000 - $210,000</div>
 <div>Join us at BDO, where you will find more than a career, you&rsquo;ll find a place where your work is impactful, and you are valued for your individuality. We offer flexibility and opportunities for advancement. Our culture is centered around making meaningful connections, approaching interactions with curiosity, and being true to yourself, all while making a positive difference in the world.
At BDO, our purpose of helping people thrive every day is at the heart of everything we do. Together, we are focused on delivering exceptional and sustainable outcomes and value for our people, our clients, and our communities. BDO is proud to be an ESOP company, reflecting a culture that puts people first, by sharing financially in our growth in value with our U.S. team. BDO professionals provide assurance, tax and advisory services for a diverse range of clients across the U.S. and in over 160 countries through our global organization.
BDO is the first large accounting and advisory organization to implement an Employee Stock Ownership Plan (ESOP). A qualified retirement plan, the ESOP offers participants a stake in the firm&rsquo;s success through beneficial ownership and a unique opportunity to enhance their financial well-being. The ESOP stands as a compelling addition to our comprehensive compensation and Total Rewards benefits* offerings. The annual allocation to the ESOP is fully funded by BDO through investments in company stock and grants employees the chance to grow their wealth over time as their shares vest and grow in value with the firm&rsquo;s success, with no employee contributions.
We are committed to delivering exceptional experiences to middle market leaders by sharing insight-driven perspectives, helping companies take business as usual to better than usual. With industry knowledge and experience, a breadth and depth of resources, and unwavering commitment to quality, we pride ourselves on:
<ul><li>Welcoming diverse perspectives and understanding the experience of our professionals and clients
</li><li>Empowering team members to explore their full potential
</li><li>Our talented team who brings varying skills, knowledge and experience to proactively help our clients navigate an expanding array of complex challenges and opportunities
</li><li>Celebrating ingenuity and innovation to transform our business and help our clients transform theirs
</li><li>Focus on resilience and sustainability to positively impact our people, clients, and communities
</li><li>BDO Total Rewards that encompass so much more than traditional &ldquo;benefits.&rdquo; Click here to find out more!
</li></ul><ul><li>Benefits may be subject to eligibility requirements.
</li></ul>Equal Opportunity Employer, including disability/vets
<div><div>Click here to find out more!</div></div></div><div></div>

Lead Data Engineer - Tax Product Development

Realign

<div>New York, New York 10001 Posted April 2nd, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title : Software AI Engineer &ndash; Agentic AI</div><div>
Location : New York, NY (ONSITE) 
FTE ONLY</div><div></div><div> 
Job Description</div><ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li> Fluency with AI-assisted and agentic development workflows.</li><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li> Ability to influence technical direction and align teams without formal authority.</li><li> Experience in workflow engines, async processing, queues, and streaming systems.</li><li> Languages: Python, Go, TypeScript</li><li> APIs and services: REST, gRPC</li><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li> Distributed systems: event-driven architectures, including Kafka</li><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li><li> Integration of commercial and open-source LLMs into agentic workflows</li><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li> Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li> Own and evolve shared agentic AI capabilities, including:</li><li> Agent frameworks and orchestration layers</li><li> Planning, tool use, and memory strategies</li><li> Retrieval and grounding (RAG) pipelines</li><li> LLM infrastructure, inference, and model gateways</li><li> Evaluation, observability, and safety tooling for autonomous systems</li><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to pro duction.</li><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul> 

Required Skills
CLOUD SECURITY ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Software AI Engineer – Agentic AI-2

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Machine Learning Engineer – Remote

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