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Added 18 mins ago
Sr. Front-End/Full Stack Developer
Fiserv
Sunnyvale, CA
In this role, you will be a lead UI/UX-minded engineer responsible for driving the client-side evolution and expansion of our platform. While you have the full-stack capability to navigate…
Added 18 mins ago
Principal Solutions Architect, Streaming & AdTech-Xumo
Comcast
Irvine, CA
Deep experience with Google Cloud Platform, including Google Kubernetes Engine, BigQuery, Cloud SQL and AWS integrations
Added 18 mins ago
Staff Site Reliability Engineer (Hybrid)
Cisco
San Jose, CA · San Francisco, CA
8+ years’ experience with a Bachelor's degree or 6+ yrs with Masters or 3+ years with a PhD, or equivalent related experience; Experience to include at least 6 years in Site Reliability…
Added 22 mins ago
Senior Cloud Engineer, Hybrid in RTP, North Carolina
Cisco Systems, Inc.
RTP, NC
Join Cisco's Cloud and Data Center Engineering team - a collaborative group of engineers, architects, and operations specialists dedicated to designing, implementing, and optimizing Cisco's…
Added 24 mins ago
Full-stack Engineer 5 (Finance Tech)
Capital One
Richmond, VA · McLean, VA · Cambridge, MA
9+ years of experience coding with more than two of the following: Java, Scala, Python, Go, or Node.js
Added 30 mins ago
Senior Cloud Engineer, Hybrid in RTP, North Carolina
Cisco
Research Triangle Park, NC
Join Cisco's Cloud and Data Center Engineering team - a collaborative group of engineers, architects, and operations specialists dedicated to designing, implementing, and optimizing Cisco's…
Added 1 hour ago
O
Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work…
Added 1 hour ago
Staff Software Engineer - AWS Cost Optimization
Infor
Atlanta, GA
The impact is measured in engineering velocity, not just dollars. You will partner hands-on with hundreds of engineering organizations across Infor, embedding cost intelligence into how…
Added 1 hour ago
Principal Software Engineer - AWS Cost Optimization
Infor
Atlanta, GA
The impact is measured in engineering velocity, not just dollars. You will partner hands-on with hundreds of engineering organizations across Infor, embedding cost intelligence into how…
Added 2 hours ago
BV
Senior Devops Engineer
Bright Vision Technologies
Remote, United States
- $155,000 to $175,000 USD / year
We are seeking an accomplished Senior DevOps Engineer to architect, build, automate, and maintain enterprise-grade cloud infrastructure, CI/CD platforms, and deployment pipelines that…
Added 2 hours ago
Senior AI Engineer
Humana
New York, NY
We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured…
Added 2 hours ago
Staff Site Reliability Engineer (Hybrid)
Cisco
New York, NY
8+ years’ experience with a Bachelor's degree or 6+ yrs with Masters or 3+ years with a PhD, or equivalent related experience; Experience to include at least 6 years in Site Reliability…
Added 2 hours ago
Senior Staff Software Engineer, Machine Learning, ML Training
Google
Kirkland, WA · Seattle, WA · Sunnyvale, CA
7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 4 hours ago
Computer Vision & MLOps Engineer
Artidis
Houston, TX
…analysis and therapy optimization. By combining its nanotechnology platform for rapid tissue analysis with a holistic data solution, Artidis® accelerates drug discovery, tissue engineering,…
Added 4 hours ago
Sr. Software Engineer, Falcon NG-SIEM, FrontTier Expansions (Hybrid)
CrowdStrike, Inc.
Austin, TX
…here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events…
Added 4 hours ago
Cloud Engineer III, Exposure Management (Hybrid, Sunnyvale)
CrowdStrike, Inc.
Sunnyvale, CA
Experience with Kubernetes and event-driven autoscaling (KEDA)
Added 5 hours ago
J
Senior/Staff DevOps Engineer, Federal
Jobgether
Remote, United States
- $180,000 to $240,000 USD / year
We are seeking an experienced Senior/Staff DevOps Engineer to build, deploy, and maintain secure, reliable infrastructure supporting federal, government, and national security technology…
Added 8 hours ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
- Operate and scale core platform services - Kubernetes clusters, service mesh (Istio), data stores (Aerospike, PostgreSQL), messaging (Kafka), and GPU-backed inference workloads - with a…
Added 9 hours ago
J
AI Principal Machine Learning Engineer
Jobgether
Remote, United States
- $170,000 to $240,000 USD / year
The AI Principal Machine Learning Engineer will help shape the next generation of intelligent networking solutions through advanced machine learning and generative AI technologies. Working…
Added 9 hours ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Integrate platform telemetry with Azure Monitor, Sentinel, Dynatrace, ServiceNow, and the enterprise observability architecture.
Added 11 hours ago
Staff Site Reliability Engineer- Networking
Jobgether
Remote, United States
…supporting a large-scale internet intelligence and cybersecurity platform. You will take ownership of critical network architecture spanning physical data centers, public cloud…
Added 12 hours ago
Hybrid Cloud Platform Engineer
Valiant Solutions, LLC
St. Louis, MO · Springfield, VA, VA
The Hybrid Cloud Platform Engineer will join a program providing User-facing and Data Center Services supporting an Intelligence Community customer. The team will work together to support…
Added 12 hours ago
DevOps Architect
Jobgether
Remote, United States
Hands-on experience with Infrastructure as Code and container technologies, including Kubernetes.
Added 14 hours ago
Wireless and Edge AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
We're seeking an AI/ML Engineer to join a team building a converged platform that runs real-time wireless signal processing and AI inference on the same GPU-accelerated hardware. You will…
Added 15 hours ago
O
DevSecOps Engineer (Kubernetes, CI/CD)
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
Use Python, and Bash when appropriate, to automate the work; speed it up with AI-assisted tools; and improve the quality of everything that ships.

Jobgether

Senior Engineer (Applied AI / ML)

Remote, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer (Applied AI / ML) based in the United States.

The Senior Engineer (Applied AI / ML) will combine hands-on AI engineering with technical leadership to transform complex business challenges into practical, production-ready AI solutions. Working directly with client stakeholders, you will identify high-value opportunities, shape technical requirements, and guide projects from early discovery through deployment. You will design and build agentic systems, enterprise AI workflows, retrieval solutions, and applications powered by large language models. The role emphasizes rapid prototyping while maintaining the engineering rigor required for secure, scalable, and reliable production systems. You will also develop evaluation frameworks, improve AI observability, and implement safeguards that support dependable enterprise adoption. This remote opportunity is ideal for an experienced engineer who thrives in collaborative consulting environments, enjoys solving ambiguous problems, and can connect business priorities with innovative technical solutions. Accountabilities

• AI discovery and opportunity assessment: Facilitate client workshops, interviews, and collaborative design sessions to identify operational challenges that could benefit from AI solutions.

• Use case prioritization: Evaluate potential AI initiatives based on business impact, technical feasibility, data readiness, and return on investment, recommending practical approaches and prioritized roadmaps.

• Technical specifications and architecture: Translate business requirements into product requirements documents, technical specifications, system architectures, and measurable evaluation criteria.

• Rapid prototyping: Build functional proof-of-concept applications and interactive demonstrations within short development cycles to validate ideas and gather stakeholder feedback.

• Production engineering: Transform successful prototypes into secure, maintainable, scalable applications by strengthening architecture, testing, observability, evaluation, and operational readiness.

• Agentic AI development: Design and implement single-agent and multi-agent systems with tool calling, planning, context and state management, delegation, structured outputs, control loops, and failure recovery.

• Full-stack product delivery: Develop and integrate front-end experiences, backend services, APIs, data infrastructure, and cloud deployments to deliver complete AI-powered products.

• Retrieval and enterprise integration: Build retrieval-augmented generation (RAG) systems and related capabilities, including semantic and hybrid search, embeddings, metadata filtering, reranking, and enterprise data integrations.

• Machine learning and model adaptation: Apply machine learning fundamentals to model selection, evaluation, and adaptation, including fine-tuning approaches such as LoRA and parameter-efficient fine-tuning (PEFT) when appropriate.

• AI evaluation and observability: Establish evaluation frameworks using offline benchmarks, task-specific metrics, LLM-as-judge techniques, human review, regression testing, and production telemetry to measure quality, latency, cost, and failure patterns.

• AI safety and reliability: Implement safeguards for privacy, personally identifiable information (PII), prompt injection, permission-aware tool access, moderation, fallback behavior, and graceful error handling.

• Cross-functional collaboration: Work closely with client stakeholders, product teams, and technical specialists to refine solutions, demonstrate progress, incorporate feedback, and deliver measurable outcomes.

• Continuous improvement: Identify opportunities to improve AI workflows, development practices, retrieval quality, system performance, and the reliability of deployed applications.

Requirements

• Professional experience: At least 5 years of experience in software engineering or technical product engineering, including at least 1 year building and deploying generative AI or large language model (LLM) applications in production.

• Programming expertise: Advanced proficiency in Python and strong software engineering fundamentals, including the design of stateless and stateful services for real-time, interactive, and batch workloads.

• API and system architecture: Experience with REST APIs, WebSockets, streaming APIs, event-driven architectures, and integration protocols such as the Model Context Protocol (MCP).

• Client-facing technical leadership: Demonstrated experience in client-facing engineering, AI solutions architecture, technical product leadership, or similar roles, with the ability to facilitate discovery workshops and present technical solutions to executive audiences.

• Business and product judgment: Ability to translate ambiguous business challenges into actionable technical requirements, challenge assumptions constructively, and recommend simpler or more effective solutions.

• Agentic AI engineering: Hands-on experience building agentic systems, designing orchestration workflows, and understanding when to use established agent frameworks versus custom harnesses and control loops.

• AI-assisted development: Experience with specification-driven AI development tools and agentic coding environments such as Cursor, Codex, or OpenCode to structure requirements, orchestrate code generation, and accelerate end-to-end development.

• Retrieval architecture: Strong expertise in embedding-based search, hybrid retrieval, metadata filtering, reranking, and agentic search patterns, with the ability to measure and optimize relevance, precision, recall, latency, and cost.

• Cloud and DevOps: Experience with at least one major cloud platform, such as AWS, Google Cloud Platform, or Microsoft Azure, as well as containerization technologies such as Docker and Kubernetes and CI/CD automation.

• Production AI systems: Understanding of the reliability, security, governance, evaluation, and integration requirements involved in operating AI/ML applications in production.

• Machine learning foundations: Solid understanding of machine learning concepts and the ability to evaluate pretrained models and determine when fine-tuning, dataset preparation, or custom training pipelines are appropriate.

• Communication and collaboration: Strong interpersonal skills, intellectual curiosity, humility, and a first-principles approach to problem-solving, combined with the ability to build trust with clients and cross-functional teams.

Preferred qualifications

• Experience working in fast-paced consulting delivery teams, client innovation labs, or forward-deployed engineering environments.

• Experience deploying and supporting AI/ML systems within large enterprise environments with complex security, governance, and integration requirements.

• Familiarity with Media & Entertainment, digital media supply chains, enterprise content automation, or related industries.

• Experience applying AI to video, images, audio, and other unstructured or multimodal content for search, classification, transformation, or insight generation.

• Experience rapidly building functional prototypes and user interfaces with AI coding tools such as GitHub Copilot, Claude Code, and OpenCode, while understanding when prototype shortcuts must be replaced with production-grade engineering.

• Willingness to travel to client sites as required by project scope, customer needs, or management direction.

Benefits

• Healthcare coverage: Medical, dental, and vision insurance.

• Retirement savings: 401(k) plan with employer matching.

• Flexible time off: Flexible vacation policy.

• Remote and hybrid work: Remote or hybrid arrangements may be available depending on project requirements; onsite attendance at client locations may be required.

• Professional development: Sponsored training to strengthen technical skills and support continued career growth.

• Career progression: Emphasis on professional development and individual growth paths.

• Collaborative culture: Opportunity to work with multidisciplinary teams on innovative AI solutions for enterprise clients.

• Compensation: Salary range and additional compensation details were not specified in the provided job description and should be confirmed during the hiring process.

• Travel considerations: Travel to client sites may be required, including locations outside the employee's primary office, state, or region.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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