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Today

Senior AI Engineer – Agentic AI Platform

Hudson Manpower Cincinnati, OH

Cincinnati, OH

Today

$55 - $60/hr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Hudson Manpower is hiring a Senior AI Engineer to help design and deliver an enterprise-scale agentic AI platform. This onsite role in Cincinnati, OH focuses on building the capabilities needed to create, deploy, monitor, govern, and operate autonomous AI agents across business domains, with a cloud-native approach on Azure.

The work spans multi-agent orchestration patterns, AI platform architecture, governance and FinOps controls, memory and RAG, observability and evaluation, and responsible AI guardrails for sensitive, regulated enterprise contexts.

What you will do

Design and develop multi-agent AI systems for enterprise use cases.
Build autonomous and semi-autonomous AI workflows.
Implement agent orchestration and workflow patterns including Supervisor-Worker, Sequential, ReAct, Planner-Executor, and Writer-Critic, including orchestration and choreography approaches.
Develop scalable frameworks for agent communication and execution.
Create closed-loop workflows that include validation, retry, evaluation, and feedback mechanisms.
Build reusable AI platform capabilities that multiple business teams can use.
Design enterprise AI governance and operational controls for agent operations.
Develop API-driven AI services with operational and security features such as rate limiting, quota management, authentication, authorization, audit logging, multi-tenant usage tracking, and cost attribution.
Establish agent onboarding and lifecycle management capabilities.
Implement agent communication using direct calls, event-driven architectures, message queues, and publish-subscribe patterns.
Work with Kafka and Azure event tooling including Azure Service Bus and Azure Durable Functions to support event-driven workflows.
Design short-term and long-term AI memory architectures, including vector databases, semantic caching, conversation memory, and agent state persistence.
Build knowledge orchestration frameworks for agent collaboration, including support for graph databases and enterprise knowledge models.
Support ontology-driven AI applications and implement knowledge graphs for relationship-based reasoning.
Integrate structured, unstructured, and graph-based knowledge sources.
Implement AI consumption governance across business domains, including token usage tracking and operational cost monitoring.
Develop chargeback/showback mechanisms and support AI FinOps reporting and capacity planning.
Design observability for AI applications, including monitoring agent execution, tool usage, latency, hallucinations, failure rates, and model quality.
Build dashboards and operational metrics for AI workloads.
Implement guardrails and safety controls including prompt protection, data masking, PII protection, and human-in-the-loop validation.
Ensure compliance with enterprise security and governance requirements, including secure agentic AI systems for sensitive business data.
Develop agent and tool evaluation frameworks, including response quality measurement and hallucination detection, and implement closed-loop evaluation mechanisms.
Apply context engineering, prompt engineering, retrieval optimization, agent tuning, and AI benchmarking.

Minimum requirements

8–10 years of software engineering or platform engineering experience.
3+ years of hands-on AI/ML or Generative AI experience.
Production experience building enterprise-scale AI applications.
Strong experience designing AI architectures and platforms (not only individual AI applications).
Hands-on experience with Agentic AI / AI Agents.
Strong experience with Azure, including Azure AI Foundry and Azure OpenAI.
Strong experience with LangChain and/or LangGraph.
Strong Python development experience.
Experience with multi-agent orchestration and agentic workflow patterns.
Experience with RAG, vector databases, AI memory, and agent state management.
Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
Experience with event-driven architectures and messaging systems.
Experience with AI monitoring, observability, governance, and cost/token usage tracking.
Experience with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
Experience with SQL.
Experience designing scalable, secure, and governed AI platforms.

Useful technologies

Azure, Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, Python
Vector databases, RAG, REST APIs, API gateways, Azure API Management (APIM)
Kafka, Azure Service Bus, Azure Durable Functions
Message queues, publish-subscribe patterns, event-driven architectures
Cosmos DB, PostgreSQL, MongoDB, SQL

Desirable skills

Semantic Kernel
Model Context Protocol (MCP)
C# / .NET
Azure Event Grid
Graph databases such as Neo4j, Stardog, Amazon Neptune, or other graph databases
Enterprise knowledge graphs and ontology-driven AI solutions
AI FinOps and chargeback/showback, responsible AI frameworks, and AI evaluation and benchmarking
AWS or GCP experience
Experience in healthcare, financial services, insurance, or other regulated industries

Location: Cincinnati, OH (onsite). Compensation: USD 55–60 per hour.

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1d ago

AI Engineer II

Blue Origin Seattle, WA

Seattle, WA

1d ago

$135k - $189k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

AI Engineer II role on Blue Origin’s Blue Ring ground systems team, building AI/ML capabilities for satellite fleet operations, including multi-agent monitoring, conversational RAG knowledge retrieval, and ML-driven anomaly detection.

Responsibilities

Implement and test agent components within a multi-agent architecture for telemetry analysis, anomaly detection, and reporting
Build and maintain integrations connecting agents to ground system services
Create agent tooling, prompt templates, and orchestration logic for LLM service integrations
Build and maintain RAG pipeline components: document ingestion, embedding generation, and vector database indexing
Implement retrieval strategies and answer generation workflows for operator queries
Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options
Deploy and maintain containerized AI services using Docker and AWS infrastructure
Contribute to audit trail, observability, and production operations, including incident response
Prepare and transform spacecraft telemetry data to support ML model training
Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data
Support automated model retraining pipelines that incorporate new flight data and operator feedback
Develop model evaluation scripts and implement metrics tracking

Requirements

Ability to work onsite in one of: Kent, WA, Renton, WA, or Reston, VA
Bachelor’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
3+ years of professional software development experience with exposure to AI/ML applications
Proficiency in Python and familiarity with at least one AI/ML framework: PyTorch or TensorFlow
Experience building or contributing to LLM-based applications, RAG pipelines, or agent-based systems
Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data
Experience with AWS (preferred), Docker, and basic CI/CD practices
Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control
Strong analytical and problem-solving skills with attention to detail
Good written and verbal communication skills for documentation and team collaboration

Technologies

Python, PyTorch, TensorFlow
LLM, RAG
Docker, AWS, CI/CD
Vector database

Benefits

Medical, dental, vision
Basic and supplemental life insurance
Paid parental leave
Short- and long-term disability
401(k) with company match up to 5%
Education Support Program
Stock Options for all regular employees working at least 20 hours/week
Paid Time Off: up to four (4) weeks per year based on weekly scheduled hours
Up to 14 company-paid holidays

Preferred Qualifications

Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
Experience with Databricks or similar platforms for data engineering and ML workflows
Familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines
Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection
Exposure to multi-agent system frameworks or agentic AI orchestration patterns
Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts
Experience with infrastructure-as-code tools such as Terraform and Kubernetes
Experience with real-time data streaming systems (e.g., Kafka, Kinesis)
Familiarity with reinforcement learning concepts or graph neural network applications
Interest or experience in model compression, edge deployment, or resource-constrained inference

Export Control Regulations

Applicants must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Background Check

Required for all positions: Blue’s Standard Background Check
Required for certain job profiles: DBIDS background check if the role requires time on a military installation
Required for certain job profiles: Drivers operating Commercial Motor Vehicles meeting specified weight and/or hazardous materials criteria may be subject to additional Federal Motor Carrier Safety Regulations
Required for certain job profiles: Ability to obtain and maintain a Merchant Mariner Credential, including pre-employment and random drug testing and DOT physical

Affirmative Action and Disability Accommodation

For information on Blue Origin’s Affirmative Action Plans or to request a reasonable accommodation for the application and/or interview process, contact EEOCompliance@blueorigin.com.

Location: Seattle, WA (onsite) · Compensation: USD 134,961 - 188,945 per year · Experience: 3+ years · Education: Bachelor’s degree in a related field

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8d ago

Forward Deployed AI Engineer

Edison Scientific Boston, MA

Boston, MA

8d ago

$200k - $350k/yr Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Edison Scientific is looking for a forward-deployed AI engineer to embed on-site with pharma and biotech R&D teams and help translate AI agent work into measurable value end to end. You will drive integration ownership, reliability, and relationship cadence, then feed what you learn back into Edison’s product and roadmap through close collaboration with Applied AI and engineering teams.

This is a full-time Applied AI role based on-site in Boston, NY (onsite). Compensation is USD 200,000 - 350,000 per year with offers equity, plus a benefits package designed to support you and your family.

What you’ll do

Translate complex scientific and operational requirements into a delivery roadmap, from discovery through scaled production deployment.
Embed with R&D teams, understand their workflows deeply, and drive value creation for Edison partners by owning delivery outcomes.
Map the customer’s scientific and operational landscape to identify the highest-leverage opportunities for AI agents, beyond simple “help” requests.
Design, implement, and iterate on production-ready integrations in fast cycles, sometimes owning features end to end from architecture through rollout.
Troubleshoot and debug issues in real time, ensuring reliability, adoption, and technical confidence as the primary AI contact for the client organization.
Capture pain points, unmet needs, and product gaps, then partner with Edison’s internal Applied AI and engineering teams to shape future capabilities.
Work with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.

What you bring

2+ years of professional software engineering experience with a track record shipping production-grade software in fast-paced or ambiguous environments.
Strong proficiency in Python and/or TypeScript/JavaScript, with deep fundamentals.
Hands-on production experience building and deploying LLM-powered or agentic AI systems, including prompt engineering, RAG pipelines, model evaluation, and orchestration frameworks.
AI fluency: ability to reason through systems architecture, debug at the infrastructure level, and write clean production code independently without reliance on AI-assisted coding tools.
Comfortable operating with 20-40% travel (at peak times), making decisions with incomplete information, and driving outcomes without close oversight.
Proven problem-solving skills: navigate complex systems, debug in real time, and own features end to end.
Strong communication and relationship-building skills to earn trust with scientists, executives, and engineering teams.
Deep curiosity and willingness to learn new scientific domains quickly and adapt to shifting priorities.
Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or equivalent demonstrated depth through professional experience.

Relevant technologies

Python, TypeScript, JavaScript, LLM-powered, agentic AI systems, prompt engineering, RAG pipelines, model evaluation, orchestration frameworks.

Compensation and benefits

Competitive salary and equity (Offers Equity)
Full healthcare coverage: Edison pays 100% of premiums for you and your dependents
Yearly new parent stipend and fertility coverage through Carrot
Mental health support through Rula (in-network therapist and psychiatrist network with fast availability)
12 weeks of paid parental leave for maternity, paternity, and adoption
Pet care support with a yearly employer-funded stipend
Commuter benefits so you can use pre-tax dollars for transit and parking
401(k) company matching
$300 health and wellness benefit quarterly
Lunch provided on office days, and dinner provided when working late
Regular team off-sites and company events

Locations and schedule

On-site in Boston, NY
Also available in: San Francisco, Boston, New York; Remote available (U.S. Only)

Bonus points

Experience in life sciences, pharma, biotech, or scientific R&D (researcher, consultant, or engineer)
Familiarity with regulated data environments (GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks)
Background as a technical founder, forward-deployed engineer, or management consultant
A science degree or research experience alongside engineering skills

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Ai Orchestration Data Jobs

Senior AI Engineer – Agentic AI Platform

AI Engineer II

Forward Deployed AI Engineer

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