Jobs in the United States

Save this search

Added 2 hours ago
Full-Stack Mobile Software Engineer
Spirit AI
Alexandria, VA · Arlington, VA · Fairfax, VA · Tysons, VA · Washington, DC
🌟 Full-Stack Mobile Engineer (iOS & Android)
Added 2 hours ago
Founding Engineer
Marlow
New York City, NY
Stack: Python, FastAPI, Postgres, GCP, state-of-the-art LLMs and transcription APIs, React Native on the front end.
Added 2 hours ago
S
Founding Engineer
Shift
San Francisco, CA
- $150,000 to $210,000 USD / year
You’re a full-stack builder who ships fast and clean. You’ve put real users on React/Next.js + TypeScript frontends and Python backends, and you’re comfy spelunking across the stack.
Added 2 hours ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 2 hours ago
Research Engineer, Audio Models
Primelabs
Palo Alto, CA
This role is for someone who takes full ownership, moves with urgency and is comfortable when the problem isn't fully defined yet. You'll work side by side with our research scientists and…
Added 2 hours ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
5+ years total experience, with at least 3 years in software engineering and 2 years building ML/NLP systems
Added 2 hours ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
You're comfortable working across the stack when needed - from optimizing database queries to configuring deployment pipelines. You understand that in a startup, backend engineering means…
Added 2 hours ago
Sr. Applied ML Engineer
Memory Bridge
Remote, United States
5+ years total experience, with at least 3 years in software engineering and 2 years building ML/NLP systems
Added 4 hours ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
Experience contributing to Cloud-native system design: API and microservice architecture, DevOps, containerization and orchestration (Docker/Kubernetes), infrastructure as code, and…
Added 4 hours ago
Principal Engineer
B10 Wells Fargo Bank, N. A.
CHANDLER, AZ · IRVING, TX
The Principal Engineer will bring deep expertise in full-stack engineering, modern cloud platforms, and agent-based architectures, enabling intelligent, multi-agent systems that deliver…
Added 4 hours ago
TT
Engineering Lead
True Talent Solutions Partners
San Francisco, CA
- $221,000 to $295,000 USD / year
- At least 6 years of full-stack software engineering experience, including 2 or more years as an engineering manager.
Added 5 hours ago
CS
Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco Systems, Inc.
Remote, United States
- Full-time
We are a dynamic, high-velocity engineering team dedicated to building Splunk’s industry-leading Application Performance Monitoring (APM) and full-stack observability platforms. Our work…
Added 5 hours ago
Forward Deployed Engineer
Elixirr Consulting
United States
Strong full-stack or backend engineering fundamentals - Python, TypeScript/Node.js or similar - and the willingness to touch whatever layer the problem needs.
Added 5 hours ago
D
Client Growth Strategist
Discovered
Remote, United States
- $45,000 to $70,000 USD / year
Full-stack: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.
Added 5 hours ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
Diagnose issues across the full stack (hardware → network → data → application → AI) and respond quickly to resolve deployment and production challenges.
Added 5 hours ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 5 hours ago
AI Full Stack Engineer (Volunteer)
Solution Community
Remote, United States
Position Overview: We are seeking a Volunteer AI Full Stack Engineer who builds production software the way top AI-native engineers build in 2026: primarily through AI coding agents (Claude…
Added 8 hours ago
AI Engineer (AI Accelerator Program)
UCSF
San Francisco, CA
…building AI systems in production. They have strong skills in Python and SQL, and hands-on experience with MLOps, CI/CD, and cloud platforms (e.g., GCP, AWS, or Azure). Candidates should be…
Added 9 hours ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, or similar platforms.
Added 9 hours ago
Senior Site Reliability Engineer
Applaudo Studios
Louisville, KY
Proactively identify reliability risks across the stack, and track and report system health to engineering leadership.

Elixirr Consulting

Forward Deployed Engineer

United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 5+ years as a software engineer shipping working systems; recent hands-on experience building LLM-powered or agentic applications.
Posting language: English
Posted: Jun 17, 2026

Original job description

About Elixirr

Elixirr International plc is a global consulting firm with a bold ambition: to become the best consulting firm in the world.

Founded in 2009 to challenge a declining industry standard, we’ve grown from a single vision into a powerhouse of entrepreneurial talent, delivering boardroom strategy through to execution.

After IPO-ing on AIM in July 2020, Elixirr moved to the Main Market of the London Stock Exchange in July 2025. In that time, our market cap has grown from £98 million to over £350 million – a testament to our differentiated approach and relentless pursuit of excellence.

With a presence across the UK, US, EU, and South Africa, and a client base spanning industries and geographies, we’ve welcomed seven boutique firms into the Group. This has broadened our capabilities across creative, digital marketing, data and AI, procurement, transformation, and more.

Our vision of becoming a services unicorn is firmly within reach – and this is just the beginning. We’re looking for exceptional talent to join us on this exciting growth journey and shape the future of consulting.

Location

You will be based in Frisco. Our Dallas office serves as the U.S. headquarters for Elixirr Digital, leading our data, AI, and digital solutions. It also functions as a key hub for Elixirr Consulting, supporting our broader consulting services across the United States.

Job Summary

Forward Deployed Engineers (FDEs) are the people we put in the room when a problem is ambiguous, the data is messy, and a working solution needs to exist in weeks, not quarters. As an FDE at Elixirr, you will embed with our delivery teams and internal functions to go from idea to working prototype, and to build the internal tools and agents that accelerate how Elixirr itself delivers.

We’ve deliberately modelled this role on how the category is defined in the market - pioneered at Palantir and scaled by firms like OpenAI. An FDE is a hybrid of technical lead, consultant and product manager: someone who writes production-quality code, but is just as comfortable sitting with users, understanding how decisions actually get made, and stress-testing a prototype in the field. Business acumen is not a bonus here - it is core to the job.

An important scope point: this role is focused on idea-to-prototype and on building internal solutions that make Elixirr faster and better. A separate, dedicated team owns productionization into enterprise-grade software. You will work closely with them - and hand over cleanly - but the core of your job is learning fast, building fast, and proving value.

Key Responsibilities

Embed With Delivery Teams and Internal Functions

Deploy into Elixirr delivery teams and internal functions to identify the highest-leverage AI opportunities inside real workflows.
Sit with consultants, operators and end users to understand how decisions are actually made - then design around what you see, not what was described in a deck.
Translate ambiguous business problems into concrete agentic solutions with clear success metrics and an honest view of the business case.

Idea to Prototype, Fast

Take ideas from napkin to working prototype in days, not quarters.
Design, build and demo agents and agentic applications that execute real work - document processing, research, analysis, operational automations, internal copilots, workflow accelerators.
Use modern agent frameworks and tooling (LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, A2A) pragmatically - pick the simplest thing that works.
Instrument prototypes properly from day one: traces, evaluations, cost, latency and user feedback so decisions are grounded in data, not demos.

Build Internal Solutions That Compound

Ship internal agents and tools that measurably accelerate how Elixirr delivers - from research and analysis to proposal shaping, document production and operational tasks.
Extract reusable components, patterns and accelerators from each engagement back into Elixirr’s internal platform so the next team starts further up the curve.
Run tight feedback loops with the consultants and operators using what you build, and iterate aggressively on what’s actually useful.

Hand Off to Production, Cleanly

Partner with Elixirr’s production engineering team when a prototype earns the right to become enterprise-grade software.
Package prototypes for handover: clear documentation, evals, architectural notes and known limitations - so the production team can industrialize quickly and safely.
Stay engaged as a subject matter expert during productionization without becoming the bottleneck.

Business Acumen and Client Presence

Understand the economics of what you build - where value is created, where cost sits, and what a realistic adoption path looks like inside a real organization.
Navigate security, compliance, change management and data realities without using them as reasons to slow down.
Be the trusted technical voice leaders turn to when they want to know whether something is real or a demo - and say so honestly, either way.
Where engagements are client-facing, engage credibly with senior client stakeholders, frame trade-offs clearly and keep the conversation grounded in outcomes.

Qualifications

Experience

5+ years as a software engineer shipping working systems; recent hands-on experience building LLM-powered or agentic applications.
Track record of embedding with users or customers - consulting, startup founding engineer, FDE, solutions engineering, internal platform teams, or similar.
Comfortable owning a product from problem discovery through to working prototype and iteration, and then handing off cleanly to a production team.

Technical Expertise

Strong full-stack or backend engineering fundamentals - Python, TypeScript/Node.js or similar - and the willingness to touch whatever layer the problem needs.
Practical fluency with modern LLMs, agent frameworks, RAG, tool use, evaluation and observability tooling.
Cloud-native experience on AWS and/or Azure (GCP a plus), with a working understanding of identity, data and deployment patterns.
Daily use of AI-assisted developer tools and agentic coding workflows - you build with AI, not just about it.

Business Acumen

Able to read a business: you understand revenue, cost, workflow and decision-making, and you use that understanding to shape what gets built and why.
Comfortable framing a problem as a business case, defending trade-offs and knowing when to stop building.
Commercially aware - you understand that a useful prototype that people actually adopt beats an elegant one that nobody uses.

Mindset

Bias to action: you’d rather ship a rough v1 and learn than design the perfect v3 in a deck.
Product sense: you care about the user, the workflow and the outcome - not just the code.
Comfortable with ambiguity - briefs change, data is incomplete, priorities move; you keep shipping.
Teacher instinct: you make the people around you better without being asked to.

Nice to Have

Founding or early engineer experience at a startup.
Experience in regulated industries (financial services, insurance, healthcare, energy, public sector).
Open-source contributions or public writing/speaking on agentic systems.

Why Join Us?

Impactful Work: Shape how a global consultancy - and its clients - operate as AI-native businesses.
Innovation Culture: Hands-on access to the latest models, agent frameworks and AI developer tooling, with the freedom to use them.
Growth Opportunities: A rapidly expanding firm with room to grow your career, build your reputation and lead high-visibility work.
Mission-Driven Team: Join a diverse, entrepreneurial team that combines deep consulting craft with modern engineering and AI.
Competitive compensation package, including equity options.

Apply About employer

Report this job