CrawlJobs Logo

AI Systems Engineer - Agentic Autonomy

havocai.com Logo

HavocAI

Location Icon

Location:
United States , Greater Boston

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

140000.00 - 180000.00 USD / Year

Job Description:

We are seeking an AI Systems Engineer with deep expertise in large language models (LLMs), agentic AI architectures, and integrating advanced AI models into production-grade robotic or mission systems. You will lead the design and deployment of AI-powered components that enhance human–machine teaming, mission planning, situational understanding, and autonomy decision-making. This role sits at the intersection of ML engineering, systems engineering, autonomy, and product design. You will define how LLMs and multi-agent AI systems interface with autonomy stacks, sensor pipelines, simulation tools, and operations software across multiple product lines.

Job Responsibility:

  • Lead the design and development of LLM-powered software modules for mission reasoning, planning, operator interaction, and autonomous decision support
  • Integrate LLMs and agentic systems into HavocAI’s autonomy architecture, including ROS/ROS2 systems, planning engines, and mission software
  • Build multi-agent, tool-using AI systems that interact with perception data, mission databases, simulation systems, and operator inputs
  • Develop APIs, wrappers, and orchestration layers enabling LLMs to interface safely with embedded, cloud, and edge compute environments
  • Optimize LLM inference pipelines for performance, latency, and reliability in field-deployed systems
  • Evaluate model behavior, perform safety testing, and develop guardrails for mission-critical use cases
  • Collaborate with autonomy, embedded, simulation, and full-stack teams to define requirements and ensure robust system-level integration
  • Guide strategic decisions on model selection, fine-tuning approaches, safety frameworks, and long-term AI architecture
  • Contribute to field testing, operator evaluations, and iterative deployment cycles for AI-augmented autonomy systems

Requirements:

  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Deep hands-on experience building with LLMs and multi-agent/agentic AI frameworks
  • Strong software engineering background in modern ML frameworks, cloud orchestration, and API development
  • Experience integrating AI systems into larger software architectures or robotics/autonomy workflows
  • Understanding of RAG pipelines, tool-use frameworks, LLM function-calling, memory systems, and agent orchestration
  • Experience with safety evaluation, model alignment, or mission-critical AI system validation
  • Ability to lead system-level design discussions and coordinate across multiple engineering disciplines
  • Must be a U.S. Citizen and eligible to obtain a Secret Clearance

Nice to have:

  • Experience with autonomy stacks (ROS/ROS2, PX4, mission planning engines)
  • Background in simulation, decision-theoretic planning, or multi-agent coordination
  • Experience training or fine-tuning LLMs, building embeddings pipelines, or deploying models on-premise
  • Knowledge of defense, maritime, or dual-use tech environments
  • Familiarity with distributed compute systems, GPU optimization, or edge inferencing
  • Prior experience shaping AI product strategy or leading ML/AI engineering teams
What we offer:
  • 100% Employer paid Health, Dental and Vision Insurance for you and your families
  • Life Insurance (Employer Paid)
  • Ability to participate in the companies 401k program (Matching)
  • Unlimited PTO policy with an enforced 2 week minimum
  • Equity Package
  • Work / Home Office Stipend
  • Global Entry
  • 16 Week Paid Parental Leave
  • Monthly Health and Wellness Stipend

Additional Information:

Job Posted:
January 25, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Systems Engineer - Agentic Autonomy

Senior AI Engineer

This is an exciting new role at Efficy, central to our next-generation CRM innov...
Location
Location
France , Toulouse; Paris
Salary
Salary:
Not provided
efficy.com Logo
efficy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong knowledge of the technical stack with excellent command of AI-related languages and frameworks
  • Experience architecting distributed, orchestrated AI systems (protocols, pipelines, integration into complex workflows)
  • Skills in cost-performance optimization for models (latency, GPU usage, scalability)
  • Strong analytical mindset, technical rigor, and ability to prioritize
  • Autonomy, proactivity, and ability to drive complex initiatives in a rapidly evolving environment
  • Excellent written and verbal communication skills in French and English (fluency required)
Job Responsibility
Job Responsibility
  • Define and execute the AI agents strategy within the CRM platform, ensuring strong business relevance and smooth integration into existing workflows
  • Design agent architectures, including MCP protocol, orchestration, tool calling, memory management, evaluation, contextualization, RAG, and prompt engineering
  • Oversee deployment of AI solutions in both multi-tenant SaaS and on-premise environments
  • Select, adapt, and industrialize European open-source models, optimizing cost-performance trade-offs
  • Ensure security, GDPR compliance, and explainability of all developed agents
  • Implement observability and evaluation tools, including tracing, A/B testing, and cost monitoring
  • Collaborate closely with Data Science, Product, and Engineering teams to guarantee technical and functional alignment
What we offer
What we offer
  • A stable and growing company with an entrepreneurial mindset, where your ideas are valued, and we support you in making them happen
  • High flexibility—hybrid work is part of our DNA
  • State-of-the-art offices where teamwork is the norm
  • International growth opportunities and internal mobility
  • A competitive salary package with and a referral program
  • Engaging events: team lunches, after-work gatherings, sports activities, and trips
  • Learning opportunities: languages, technology, product knowledge, sales techniques, and leadership development
Read More
Arrow Right

GenAI Engineer

We are seeking a GenAI Engineer for project-based engagements to develop and imp...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in AI Agent development and implementation
  • Strong knowledge of autonomous workflows for enterprise systems (SAP, Salesforce, ServiceNOW, Oracle) API exposure and integration for GenAI
  • Hands-on experience with GenAI secure API integration and data handling
  • Understanding of fully autonomous AI Agents and associated risk management planning
  • Proficiency in Apigee API management and gateway services
  • Experience exposing APIs from enterprise applications
Job Responsibility
Job Responsibility
  • Design, integrate and deploy fully autonomous AI Agents with enterprise platforms (SAP, Salesforce, ServiceNOW, Oracle) via APIs
  • Expose and manage APIs from global applications through Google Apigee
  • Develop fully autonomous agentic workflows, from MCP API exposure of enterprise solutions, through compliance and security checks, and API integration of genAI for E2E automation
  • Include a risk-management and guardrailing approach for highest autonomy AgenticAI
What we offer
What we offer
  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical subscription
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings
Read More
Arrow Right

AI Transformation Lead

This role calls for a technically strong leader who can comfortably bridge execu...
Location
Location
United Kingdom
Salary
Salary:
85000.00 - 95000.00 GBP / Year
fundraiseup.com Logo
Fundraise Up
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in strategy consulting or AI startups, within high-growth technology environments
  • Demonstrable experience of working with stakeholders to build and deliver an end to end AI strategy, transforming the performance of an overall business, team or workflow
  • Proven experience in technical builds and deployments
  • Deep experience driving organizational change and minimizing friction during the adoption of disruptive new technologies, specifically AI systems
  • Proven ability to execute complex, cross-functional initiatives with limited oversight and high accountability including managing workstreams, coordinating stakeholders, and measuring impact
  • Strong written and verbal communicator
  • able to convey updates, impact, and insights clearly and credibly to senior audiences
  • A practical, business-oriented approach — you're motivated by tangible outcomes, not just theoretical improvement
Job Responsibility
Job Responsibility
  • Design & Identification: Process Deconstruction: Lead in-depth workshops with stakeholders (e.g., Marketing, Legal, Finance) to conduct precise mapping of current workflows, identifying specific bottlenecks ripe for agentic automation
  • Blueprint Creation: Design the detailed future state architecture for departmental functions, explicitly defining the collaboration protocols and task handoffs between human roles and specialized AI agents
  • Defining Autonomy: Establish the technical and procedural governance models required for agent autonomy, specifically setting rules for decision rights, error escalation triggers, and critical human-in-the-loop oversight points
  • Technical Implementation & Build Strategy: Dual-Path Roadmap: Develop a detailed, twelve-month transformation roadmap that simultaneously delivers near-term, high-ROI AI solutions while defining the technical prerequisites for achieving fully autonomous agentic operations
  • Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including the necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making
  • Build/Buy/Prioritize: Construct data-driven business cases for solutions, explicitly contrasting build vs. buy decisions and prioritizing implementations based on technical feasibility and quantified ROI models (e.g., time savings, cost reduction)
  • Solution Deployment and Enablement: End-to-End Build Capability: Serve as a hands-on technical lead capable of building, testing, and deploying both interim (e.g., RAG-based systems) and highly complex agentic AI solutions, working alongside AI Solution Engineers
  • Operational Scaling: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows (e.g., automating specific GTM tasks), ensuring seamless deployment with rigorous validation testing
  • Curriculum Development: Design, author, and deliver all technical and operational training curricula (e.g., documentation, specialized workshops) required to rapidly transition end-users into effective collaborators with the newly deployed AI agents
  • Impact Verification: Implement robust tracking mechanisms, utilizing specific KPIs (e.g., agent task completion rate, decision accuracy, departmental throughput change) to measure and verify the deployed solutions' business impact and ROI
What we offer
What we offer
  • 31 days off
  • Company subsidized medical insurance
  • 100% paid telemedicine plan
  • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
  • English learning courses (50% reimbursement, up to $1,000 annually)
  • Relevant professional education (50% reimbursement, up to $1,500 annually)
  • Gym or swimming pool (50% reimbursement, up to $500 annually)
  • Co-working (up to $250 monthly)
  • Remote working
  • Fulltime
Read More
Arrow Right
New

Senior Software Engineer

Location
Location
United States , Houston
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of detail oriented software development experience
  • Strong expertise in C#/.NET and modern application architecture
  • Proven experience building agentic AI systems or autonomous AI workflows in production
  • Hands-on experience with LLM orchestration frameworks (Semantic Kernel, LangChain, or equivalent)
  • Solid experience with SQL and data modeling
  • Experience integrating AI services into enterprise applications
  • Strong understanding of cloud-native development, preferably on Microsoft Azure
Job Responsibility
Job Responsibility
  • Design, implement, and maintain agentic AI systems, including: Goal-oriented and task-driven agents Tool-using and decision-making agents Multi-step reasoning and workflow orchestration
  • Build agent frameworks that coordinate: Azure AI Search (semantic + vector retrieval) LLMs for reasoning, planning, and summarization Internal APIs, databases, and enterprise tools
  • Implement retrieval-augmented generation (RAG) patterns that support agent autonomy and accuracy
  • Define guardrails for agent behavior, including: Error handling and fallback strategies Observability, logging, and evaluation Security and data access boundaries
  • Develop full-stack applications using .NET, Blazor, HTML/CSS, and modern web standards
  • Build backend services and APIs backed by SQL-based data stores
  • Integrate AI-driven features into user-facing experiences with a focus on: Performance Reliability Explainability
  • Implement scalable service architectures suitable for AI-enhanced workloads
  • Implement intelligent search and retrieval solutions using Azure AI Search, including: Semantic search Vector indexing and similarity search Hybrid retrieval strategies
  • Use Semantic Kernel or similar orchestration frameworks to: Manage prompts, memory, and tools Coordinate agent behavior Enable extensible AI workflows
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Read More
Arrow Right

AI Transformation Lead

This role calls for a technically strong leader who can comfortably bridge execu...
Location
Location
United States
Salary
Salary:
140000.00 - 150000.00 USD / Year
fundraiseup.com Logo
Fundraise Up
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in strategy consulting or AI startups, within high-growth technology environments
  • Demonstrable experience of working with stakeholders to build and deliver an end to end AI strategy, transforming the performance of an overall business, team or workflow
  • Proven experience in technical builds and deployments
  • Deep experience driving organizational change and minimizing friction during the adoption of disruptive new technologies, specifically AI systems
  • Proven ability to execute complex, cross-functional initiatives with limited oversight and high accountability including managing workstreams, coordinating stakeholders, and measuring impact
  • Strong written and verbal communicator
  • able to convey updates, impact, and insights clearly and credibly to senior audiences
  • A practical, business-oriented approach — you're motivated by tangible outcomes, not just theoretical improvement
Job Responsibility
Job Responsibility
  • Process Deconstruction: Lead in-depth workshops with stakeholders to conduct precise mapping of current workflows, identifying specific bottlenecks ripe for agentic automation
  • Blueprint Creation: Design the detailed future state architecture for departmental functions, explicitly defining the collaboration protocols and task handoffs between human roles and specialized AI agents
  • Defining Autonomy: Establish the technical and procedural governance models required for agent autonomy, specifically setting rules for decision rights, error escalation triggers, and critical human-in-the-loop oversight points
  • Dual-Path Roadmap: Develop a detailed, twelve-month transformation roadmap that simultaneously delivers near-term, high-ROI AI solutions while defining the technical prerequisites for achieving fully autonomous agentic operations
  • Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including the necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making
  • Build/Buy/Prioritize: Construct data-driven business cases for solutions, explicitly contrasting build vs. buy decisions and prioritizing implementations based on technical feasibility and quantified ROI models
  • End-to-End Build Capability: Serve as a hands-on technical lead capable of building, testing, and deploying both interim and highly complex agentic AI solutions, working alongside AI Solution Engineers
  • Operational Scaling: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows, ensuring seamless deployment with rigorous validation testing
  • Curriculum Development: Design, author, and deliver all technical and operational training curricula required to rapidly transition end-users into effective collaborators with the newly deployed AI agents
  • Impact Verification: Implement robust tracking mechanisms, utilizing specific KPIs to measure and verify the deployed solutions' business impact and ROI
What we offer
What we offer
  • Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family
  • FSA Spending Account
  • Remote or Hybrid work
  • 15 days of vacation, 7 company holidays plus an additional 3 floating holidays and 5 sick days
  • 401(k) plan with company match
  • 100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D
  • Paid parental leave (12/6 weeks)
  • Fulltime
Read More
Arrow Right

Full Stack Engineer, AI Agents

Our mission is to make the world programmable. Sight is one of the key ways we u...
Location
Location
Salary
Salary:
163000.00 - 180000.00 USD / Year
roboflow.com Logo
Roboflow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years building production software with strong product instincts and end-to-end ownership
  • Shipped an agentic system in a previous role or built one as a founder, with hands-on experience in tool calling and orchestration
  • Comfortable contributing in TypeScript/JavaScript and Python
  • Enjoy talking to users and turning feedback into shipped improvements
  • Know how to utilize AI coding tools well to move fast while keeping quality high
  • Execution-oriented and comfortable with autonomy, ambiguity, and fast-changing priorities
Job Responsibility
Job Responsibility
  • Building agentic, AI-powered experiences that help people build computer vision solutions with Roboflow end-to-end, across both in-app experiences and external integrations
  • Contribute to the core product surfaces agents rely on, especially Workflows, our computer vision workflow and pipeline builder, and our Deployments offering
  • Tighten the path from prototype to production by filling in missing functionality and improving reliability, tooling, and discoverability
  • Advocate for what should be built next
  • Contribute to product and strategy decisions
  • Building agentic product experiences that guide users through building, debugging, and shipping CV projects
  • Building integration surfaces that let external agents interact with Roboflow (tool interfaces, APIs, SDK capabilities)
  • Extending Workflows with new blocks and improving the building UX
  • Strengthening SDKs and end-to-end user journeys so developers can go from idea to shipped system with fewer steps
  • Write documentation and examples that make the agent and deployment features easy to adopt
What we offer
What we offer
  • $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
  • $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
  • Cover up to 100% of your health insurance costs for you and your partner or family
  • Equity in the company so we are all invested in the future of computer vision
  • Fulltime
Read More
Arrow Right

Director, Customer Care Product Operations

We are seeking an experienced leader to execute the strategic direction of our C...
Location
Location
United States , Mountain View
Salary
Salary:
216000.00 - 264000.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep passion for customers and a strong belief in the power of care as a product differentiator
  • 7+ years proven leadership experience, including managing cross-functional embedded teams and developing systems for scale and autonomy
  • Strong product and/or technical background preferred—ideally with a degree in Engineering, Computer Science, or related field and hands-on product development or technical experience
  • Experience with AI strategy, including tool selection, automation mapping, and agent-assist systems
  • Demonstrated ability to build and scale user research and feedback loops into product pipelines
  • Outstanding analytical and problem-solving skills
  • data-driven decision-making is a must
  • Expertise or capability in operations including knowledge of quality assurance, agent readiness, escalations
  • Track record of influencing and aligning with stakeholders across Product, Engineering, Marketing, and CX
  • Excellent communication and collaboration skills—especially in high-ambiguity environments
Job Responsibility
Job Responsibility
  • Own and drive the Care AI strategy to shift from human support to automated and AI-powered resolution
  • Define automation use cases, KPIs, and optimize adoption across all support channels
  • Partner and collaborate closely with Product & Engineering to align automation roadmap with technical feasibility and business goals
  • Lead Customer Care’s product integration strategy to embed CX into every product and operational decision
  • Manage 4–5 senior Care Specialists embedded in key product pods to ensure launch readiness, lifecycle comms, and research support
  • Act as the cross-functional glue between Care, Product, and Eng—aligning roadmaps, surfacing feedback, and driving issue resolution
  • Consolidate customer, agent, and system insights into a single narrative to inform continuous improvement
  • Build a scalable, company-wide user research program with EarnIn-specific guidelines to enable autonomous research
  • Define high-priority UR initiatives aligned to business goals that product operations will take on
  • Select and implement research tooling (e.g., Maze, Dovetail) to support execution at scale
What we offer
What we offer
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right
New

AI Research Engineer

We are looking for an AI Research Engineer to join the PAIR team and play a cent...
Location
Location
France , Hem
Salary
Salary:
Not provided
hornetsecurity.com Logo
Hornetsecurity
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Applied AI research engineer with at least 3 years of experience in backend development or AI in production
  • Strong command of Go (microservices, REST/gRPC, high performance) and Python for AI/ML
  • Solid experience with cloud-native architectures: Docker, Kubernetes, CI/CD, observability, distributed systems, and real-time services
  • AI/ML/NLP skills: LLMs, embeddings, classification, text generation, model evaluation
  • Proven ability to design, optimize, and deploy scalable AI services in production
  • Scientific curiosity, autonomy, rigor, and strong teamwork skills
  • Excellent communication skills, documentation abilities, and the capacity to simplify complex topics
  • Professional fluency in English, both written and spoken
Job Responsibility
Job Responsibility
  • Design, develop, and maintain AI services from prototype to production
  • Ensure robustness, performance, scalability, and operational reliability of solutions in industrial settings
  • Methodically test and benchmark AI models (standards, metrics, comparisons)
  • Document results and propose innovative solutions tailored to cybersecurity challenges
  • Maintain active and structured monitoring of advances in AI/ML, LLMs, agents, NLP, as well as DevOps and MLOps best practices
  • Anticipate technological developments and contribute to the technical roadmap
  • Be a key contributor to technical quality, knowledge sharing, and internal communication
  • Produce clear documentation and provide technical support to teams
What we offer
What we offer
  • Flexible hybrid work arrangement
  • Meal vouchers: €10 per voucher (including €5.92 contribution from Hornetsecurity)
  • 100% coverage of public transportation costs
  • Health insurance & supplementary pension plan (Axa)
  • Sports and wellness benefits (subsidy provided)
  • International exchange program
  • Fulltime
Read More
Arrow Right