OpeningsFirst
How it worksPricingLog inGet started
OpeningsFirst › Jobs in the United States

Senior Forward Deployed Engineer

Eliza
AustinOn-siteSenior5–8 yrs
Apply on Eliza’s site

OpeningsFirst finds jobs like this first

  • Straight from company career pages. We check thousands of them every few hours.
  • The day they’re posted, often before LinkedIn or Naukri.
  • Only your kind of job: Software Engineer jobs in Austin. 32 new this week.

From tomorrow’s email

Sr. Staff Distributed Systems Software Engineer, Collectives
Austin · found 10 h ago
Staff Software Engineer
Austin · found 12 h ago
Senior Software Engineer
Austin · found 13 h ago

Company names are shown to members.

New openings the day they’re posted, at 8 am and 6 pm. Cancel anytime. Full refund within 7 days.

The job in short

Forward deployed software engineering.

PythonAWSAzureGCPDockerMachine learningGenerative AILLMLLMsLangChainRAGEmbedded

Details

Found
25 d ago · posted 2025-07-12
Location as listed
Austin, United States
Role
Software Engineer
Source
The company’s own careers site

Full description

About Us We are a technology services company on the frontier of applied AI. We partner with forward-thinking organizations to build, customize, and deploy high-impact AI solutions—from generative models and intelligent agents to scalable machine learning systems. Our work spans industries and use cases, and we operate as both builders and strategic partners to help our clients unlock the full potential of artificial intelligence. Job Summary We are hiring a Senior Forward Deployed Engineer (FDE) to lead complex, client-facing AI engineering projects. This role blends deep technical expertise with high-level consulting skills: you’ll be responsible for scoping, designing, and delivering mission-critical AI solutions, while guiding clients through technical and strategic decision-making. You’ll act as both a trusted advisor and a hands-on technical leader, embedded directly with client teams to ensure the successful deployment and adoption of AI technologies. This is an ideal role for someone who thrives in ambiguous environments, enjoys solving hard real-world problems with code, and wants to shape the future of AI in enterprise. Key Responsibilities 1. Technical Leadership & Solution Design • Lead architecture and design of AI/ML solutions tailored to unique client requirements, balancing scalability, performance, and maintainability. • Guide clients through decisions related to LLM integration, data engineering, infrastructure design, and model operations. • Own end-to-end solution delivery, from exploration and rapid prototyping to production deployment and handoff. 2. Client Engagement & Consulting • Serve as the senior technical point of contact during client engagements—trusted by executives, product leaders, and technical teams alike. • Conduct technical discovery, shape implementation roadmaps, and communicate risks and trade-offs clearly to diverse stakeholders. • Influence long-term client strategy through technical advisory, architectural reviews, and enablement sessions. 3. Deep AI Engineering • Build AI-driven applications using modern frameworks and tools (e.g., Python, LangChain, FastAPI, Docker, cloud-native platforms). • Design and implement workflows involving generative AI (e.g., retrieval-augmented generation, prompt tuning, embeddings pipelines). • Collaborate with internal research, data, and platform teams to extend company-wide best practices to client-specific contexts. 4. Mentorship & Technical Enablement • Mentor junior engineers and consultants across engagements, fostering a high bar for technical quality and client service. • Help define internal tooling, architecture patterns, and deployment playbooks based on field experience. • Represent the engineering team in pre-sales discussions, project scoping, and high-stakes strategic planning. Qualifications Required • 5–8+ years of software engineering experience, with at least 3+ years in AI/ML-focused roles. • Demonstrated experience leading technical delivery in a client-facing or consulting environment. • Strong understanding of modern AI architectures, including experience deploying LLMs, building RAG pipelines, and working with vector databases (e.g., Pinecone, Weaviate, FAISS). • Fluency in Python, with experience in cloud platforms (AWS, GCP, or Azure), containerization, and scalable API design. • Excellent interpersonal and communication skills; able to command technical and business conversations with senior stakeholders. Preferred • Experience in regulated or high-complexity environments (e.g., finance, healthcare, legal, government). • Familiarity with enterprise AI lifecycle tools (e.g., MLflow, Ray, Databricks, Airflow). • Contributions to open-source AI tools or internal frameworks in previous roles. • Willingness to travel for key client engagements (if applicable). What We Offer • Executive-level impact and visibility across high-profile client projects. • Leadership opportunities in a rapidly growing AI services company. • Competitive compensation, including salary, performance bonuses, and equity. • Remote flexibility with options for on-site work and client immersion. • A high-trust, high-caliber team passionate about shaping the AI frontier.

Software Engineer jobs in the United States · All Eliza jobs

Jobs in India · Jobs in the US · Who’s hiring in India · Who’s hiring in the US · How OpeningsFirst works · Free jobs widget
OpeningsFirst · Use with AI · Terms · Privacy · Refunds · Contact Showing prices for outside India or India