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About the Role

Helios is seeking an Applied Intelligence Engineer to transform complex institutional challenges into functional software solutions. This role involves embedding with clients to understand their operations and deploy systems within their technical, operational, and security constraints, potentially within U.S. federal agencies, international public institutions, or Fortune 50 enterprises. It requires writing production code, designing architectures, integrating systems, and building missing functionalities. The position operates at the intersection of engineering, product, and mission delivery, requiring comfort with both executive-level discussions and hands-on coding. As an early team member, you will also shape how Helios delivers applied intelligence systems, translating field learnings into reusable product capabilities and operational playbooks to enable scalable deployments.

Responsibilities

Work directly with customer leaders, operators, technical teams, and end users to understand their objectives, workflows, data, constraints, and measures of success.
Identify the underlying operational problem and determine the appropriate system to build.
Map complex environments across people, processes, data sources, existing software, decision rights, security requirements, and organizational dependencies.
Translate ambiguous mission and business needs into clear technical requirements, deployment plans, system architectures, milestones, and ownership.
Design solutions combining Proxi's core capabilities with customer-specific data, integrations, workflows, interfaces, and decision-support requirements.
Establish clear definitions of success for each deployment, including technical performance, user adoption, operational outcomes, and long-term maintainability.
Identify and develop plans to address technical, security, data, adoption, and organizational risks.
Own deployments from initial discovery and technical scoping through architecture, development, testing, go-live, adoption, and expansion.
Configure and extend Proxi for specific customer missions, organizational structures, information environments, and operating workflows.
Build production-quality applications, services, integrations, data pipelines, internal tools, and user experiences.
Ingest and normalize large volumes of structured and unstructured data from various sources.
Integrate Helios systems with existing enterprise and government technology.
Design and implement reliable workflows for search, retrieval, analysis, monitoring, alerting, reporting, and human review.
Build and evaluate AI agents for complex information environments, ensuring source provenance and traceability.
Ensure systems are adopted by users and function under real operational conditions.
Build across the application stack, including backend services, data infrastructure, AI orchestration, APIs, and customer-facing interfaces.
Develop retrieval, ranking, reasoning, and agentic workflows over complex information.
Design data models, ontologies, and knowledge structures reflecting customer operations.
Build evaluation frameworks to measure accuracy, reliability, relevance, latency, and user value.
Implement safeguards for AI system failure modes like hallucination and weak sourcing.
Improve system performance through data pipelines, retrieval strategies, prompts, tools, models, and workflows.
Monitor deployed systems, investigate failures, and resolve issues.
Make pragmatic technical decisions about using, configuring, or building platform capabilities.
Design deployments for sensitive, regulated, and high-stakes environments.
Work with customer security, privacy, legal, compliance, and IT teams to move deployments to production.
Implement controls for identity, permissions, data access, encryption, auditability, logging, retention, and system monitoring.
Adapt architectures to customer-specific requirements for data residency, network access, cloud infrastructure, and deployment environments.
Produce clear technical documentation, system diagrams, data-flow descriptions, security materials, and implementation plans.
Ensure prototypes and pilots have a credible path to secure, maintainable, production-scale systems.
Handle customer data, access, and operational information with exceptional care and discretion.
Serve as a trusted technical counterpart to senior government officials, agency technology leaders, enterprise executives, security teams, engineers, analysts, and frontline users.
Lead technical discovery sessions, architecture reviews, implementation workshops, demonstrations, testing sessions, and deployment updates.
Explain complicated technical decisions clearly to non-technical stakeholders.
Earn customer trust through responsiveness, preparation, candor, and accountability.
Maintain a clear view of open issues, technical dependencies, upcoming milestones, decisions, owners, and next actions.
Stay close to users after go-live to observe system performance and address adoption barriers and emerging requirements.
Coordinate with Helios product, engineering, customer success, and company leadership to ensure realistic commitments and consistent delivery.
Support technical discovery and solution design during prospective customer engagements.
Translate repeated customer needs into reusable product features, APIs, data models, connectors, deployment patterns, and internal tools.
Distinguish strategically valuable product capabilities from customer-specific requirements.
Bring structured field insights into product and engineering decisions, supported by evidence.
Build the technical and operational infrastructure to make deployments faster, safer, and more repeatable.
Create deployment templates, testing frameworks, technical documentation, implementation playbooks, and reusable components.
Reduce bespoke work required for delivering sophisticated systems without compromising customer outcomes.
Help define how applied intelligence engineering works with product, engineering, customer success, security, and commercial teams.
Contribute directly to the core Proxi platform when field requirements should become permanent product capabilities.

Requirements

Have 5 or more years of experience in software engineering, applied AI, solutions architecture, technical implementation, or another role involving significant production engineering and customer ownership.
Are a strong generalist engineer who can independently design and ship production-quality software across multiple parts of the stack.
Have built or deployed production AI systems using language models, retrieval systems, agentic workflows, tool calling, evaluations, or related technologies.
Understand that production AI requires rigorous data, evaluation, observability, security, and user-experience work, not just prompt engineering.
Can quickly understand an unfamiliar institution, workflow, data environment, or mission area and translate it into a coherent technical system.
Have experience integrating software with complex enterprise systems, fragmented data sources, identity infrastructure, and legacy technology.
Can communicate as effectively with senior executives and government leaders as you can with security teams, engineers, and operators.
Are comfortable taking ownership of a loosely defined problem and driving it through discovery, development, deployment, and adoption.
Make sound technical tradeoffs under time pressure without losing sight of security, reliability, or maintainability.
Write clear technical requirements, deployment plans, documentation, decision records, and customer communications.
Are highly organized and can manage multiple technical workstreams, stakeholders, dependencies, and deadlines simultaneously.
Respond quickly, close loops, and take personal responsibility when a deployment encounters a problem.
Are willing to spend meaningful time with customers, including working on-site during critical phases of a deployment.
Are comfortable traveling domestically and internationally, sometimes on short notice and for extended deployment periods.
Want to work in person with a small, high-intensity team and are prepared to flex beyond standard business hours when customer needs, travel, or deployment milestones require it.
Experience deploying software within the U.S. government, defense and national security community, international institutions, or highly regulated industries.
Experience delivering production systems to Fortune 50 or similarly complex global enterprises.
Familiarity with government security, acquisition, authorization, and deployment processes.
Experience with NIST controls, CMMC, FedRAMP, ISO 27001, SOC 2, data-sovereignty requirements, or comparable security frameworks.
Experience building knowledge graphs, ontologies, semantic search, retrieval systems, or large-scale document intelligence platforms.
Experience with enterprise identity and access systems, including SSO, SAML, OIDC, role-based access control, and audit logging.
Experience deploying systems in private-cloud, customer-controlled, limited-connectivity, or otherwise constrained environments.
Familiarity with multilingual data, international deployments, or systems that must operate across multiple legal and regulatory environments.
Experience building software for policy, regulation, government affairs, public-sector procurement, national security, public health, or other institutionally complex domains.
An active U.S. government security clearance or eligibility to obtain one.

Skills

Python
TypeScript
APIs
Databases
Cloud infrastructure
Data pipelines
Modern web applications
Production AI systems
Language models
Retrieval systems
Agentic workflows
Tool calling
Evaluations
Data integration
Legacy technology integration
Technical documentation
System diagrams
Data-flow descriptions
Security materials
Implementation plans
Knowledge graphs
Ontologies
Semantic search
Large-scale document intelligence platforms
Enterprise identity and access systems
SSO
SAML
OIDC
Role-based access control
Audit logging

Location

New York City
Remote
On-site in SoHo, five days per week

Work Type

Full-time
On-site
Hybrid

Experience Level

5 or more years of experience
Early member of this function

Salary/Compensations

$165,000 to $225,000 per year

Benefits

Meaningful equity
Benefits

About the Company

Helios is building a new kind of company to solve America’s hardest problems, starting with the government interaction layer.
Government shapes every consequential market, but the infrastructure connecting public institutions and private organizations remains fragmented, manual, and difficult to navigate. Helios is rebuilding that layer.
Our core platform, Proxi, gives organizations the intelligence they need to understand what government is doing, why it matters, and what to do next.
From that foundation, we design and deploy secure, mission-specific systems for government agencies, enterprises, and institutions operating in complex and highly regulated environments.
We bring together frontier AI, deep public-sector expertise, and forward-deployed execution.
Our team includes leaders and builders from the White House, U.S. Department of State, Datadog, and Microsoft.
We are backed by leading institutional investors and trusted by organizations working on high-stakes problems across government and industry.

Equal Opportunity

Helios is an equal opportunity employer.
We evaluate candidates based on their abilities, experience, and potential to contribute to our mission.
We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other status protected by applicable law.