Senior Product Engineer, Agentic Systems - Exploration Team Job at Bluesky

Senior Software Engineer, AI Runtime

We’re seeking a Senior Software Engineer to help power the future of agentic AI ...

Location

United States

Salary:

157000.00 - 198900.00 USD / Year

Apollo GraphQL

Expiration Date

Until further notice

Requirements

Expertise in agent-to-tool orchestration, routing, and coordination in scalable, fault-tolerant systems
Deep expertise in Rust programming language
Strong background in distributed systems, server architecture, and high-performance backend development
Proven experience with protocol design, message routing, and server-side orchestration frameworks
Experience building and maintaining robust runtime infrastructure that supports AI-driven workflows and enables reliable agent-to-tool interactions
Proven experience with protocol design, message routing, and building server-side frameworks that enable scalable, reliable multi-tool agent workflows
Hands-on experience with observability, monitoring, and debugging frameworks for complex systems
Passion for clean, maintainable code, high system reliability, and scalable architecture
Experience in strategic system design, making architectural trade-offs, and planning for long-term scalability and maintainability
Strong technical leadership and mentorship, including guiding junior engineers and driving engineering best practices across teams

Job Responsibility

Scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries
Implement robust server infrastructure to ensure reliability, performance, and security at scale
Build and maintain tools for agent discovery, communication, and coordination
Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead
Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration
Integrate observability, logging, and monitoring for full visibility into server and agent behavior
Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions
Collaborate with teams within our org to ensure the MCP Server meets evolving product and developer needs

Senior Observability Engineer

Coralogix is a modern, full-stack observability platform transforming how busine...

Location

Germany , Berlin

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

5+ years of experience in Site Reliability, DevOps, or Platform Engineering with a focus on observability
Proven expertise with at least one major observability platform (e.g., Prometheus, Victoria Metrics, OpenSearch)
Hands-on experience with Kubernetes, including deep knowledge of controllers, operators, and Helm
Experience writing Kubernetes controllers (controller-runtime, KubeBuilder)
Strong programming skills in Go or Python (Rust is a plus)
Experience designing, scaling, and operating observability systems at enterprise scale
Familiarity with at least one major cloud provider (AWS, Azure, or GCP)
Strong understanding of distributed systems, telemetry pipelines, and instrumentation standards (e.g., OpenTelemetry)
Excellent communication skills with the ability to explain complex topics to diverse stakeholders

Job Responsibility

Design, implement, and maintain observability features such as Alerting, SLOs, Reporting, and Synthetic Tests
Manage and scale OpenTelemetry Collectors and other observability agents across Kubernetes environments
Write and maintain Kubernetes Controllers using frameworks like controller-runtime and KubeBuilder
Operate and optimize the internal Coralogix account, ensuring proper usage, cost efficiency, and best practices adoption
Define and enforce observability guidelines and standards across the organization
Partner with engineering teams to embed observability by default into products and services
Control observability-related costs while maximizing performance, visibility, and value
Contribute to upstream projects such as OpenTelemetry, helping shape industry standards
Explore and implement cutting-edge observability technologies, including eBPF-based approaches

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff Engineer

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Chevy Chase

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design
8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
A track record of turning research ideas into working products with measurable outcomes
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production
Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams
Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints
Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Software Engineer, Backend — Frontier Data

The Frontier Data team builds the data and systems that power Scale’s most advan...

Location

United States , San Francisco; New York

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of full-time software engineering experience (post-graduation)
Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability
Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services)
Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)
Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar
Comfort working close to AI/ML systems (production experience welcome
curiosity and strong fundamentals also valued)
Proficiency with SQL and modern database-backed application development

Job Responsibility

Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment
Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability
Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces
Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity
Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems
Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization
Raise the engineering bar through design reviews, code reviews, and pragmatic best practices

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

New

Senior Principal Technical Program Manager

Microsoft Research is working to transform the future of artificial intelligence...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
6+ years of experience managing cross-functional and/or cross-team projects
Experience leading large-scale skilling and/or adoption programs to motivate org-scale teams to adopt to rapid changes in AI-driven work
Experience utilizing or designing engineering systems (tools and developer experiences) for large-scale machine learning, reinforcement learning, or generative AI workloads
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos), ideally including experience using AI coding agents (Copilot, Claude, Codex, etc.)
Working knowledge of AI infrastructure tradeoffs - i.e. memory, network (Infiniband, NVLINK, etc.), storage systems, distributed training parallelisms and/or orchestration and scheduling frameworks (Kubernetes, Volcano, SLURM)
Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
8+ years of experience managing cross-functional and/or cross-team projects

Job Responsibility

Drive cross-team projects and programs for the AI tools and engineering system that support Microsoft Research’s Artificial Intelligence (AI)/Machine Learning (ML) infrastructure including end-to-end planning, timelines, milestones, and performance metrics
Research and define a seamless agent-first (Copilot, Claude, Codex, etc.) experience that accelerates both inner-loop and outer-loop research activities
Drive initiatives to generate rapid engagement with emerging techniques in agentic research and coding
Use AI coding agents to explore new ideas and create examples for people of all disciplines to follow your lead
When appropriate, contribute directly to our engineering system and tools
Collaborate with researchers, engineers, product teams, and external partners to identify gaps and drive timelines toward resolution and mitigation
Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of adoption and skilling programs
Foster a culture of collaboration, continuous improvement, and growth
Communicate program strategies, progress, and results to executive leadership and key stakeholders across Microsoft Research, advocating for quality, security, and efficiency within the team

Fulltime

Senior Principal Storage Systems Engineer

Join the Strategic Planning and Architecture (SPARC) team within Microsoft’s Azu...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 9+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 11+ years technical engineering experience OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
10+ years of experience with system performance evaluation using industry standard benchmarks and/or common cloud workloads
10+ years of experience with significant hardware/software co-design projects involving CPU and/or systems architecture and influencing technical direction
Prior experience developing and driving cloud technologies for improved TCO/$ and TCO/$/performance
Intellectual curiosity and passion about learning and deploying new technologies
Verbal and written communication skills and ability to engage technical & non-technical peers
Experience contributing to complex projects with respect and integrity, including those with multiple workstreams spanning different business and technical disciplines
Understanding of compute and storage systems in the cloud, including storage and network technologies, experience with software-defined storage and distributed file systems
Deep understanding of AI inference systems and associated software, and emerging approaches to orchestrate tiered memory and storage capabilities for distributed serving and KV caching for agentic systems

Job Responsibility

Drive pathfinding initiatives to identify and quantify optimization opportunities across distributed and disaggregated storage and memory architectures for computing and AI inferencing systems
Conduct in-depth architectural analysis of next-generation storage technologies, leveraging a strong understanding of workloads across key Azure segments
Collaborate cross-functionally to influence technology direction and contribute to long-term strategic planning for evolving datacenter architectures
Lead architectural exploration of emerging technologies through robust proof-of-concepts (PoCs) and end-to-end prototyping, aligned with product segments and real-world usage scenarios
Partner with hardware design and software enablement teams to mature innovations from concept validation to production-ready solutions
Engage with Azure operators and customers to identify current challenges and anticipate emerging needs across the platform
Evaluate and identify promising technologies aligned with Azure business priorities, engage ecosystem partners, and de-risk productization through capable PoCs
Work across organizational boundaries with roadmap planners, product architects, and hardware and software engineering teams to successfully integrate innovative solutions into Azure datacenters

Fulltime

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Senior Product Engineer, Agentic Systems - Exploration Team

Bluesky

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 12, 2026

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