Senior Forward Deployed Engineer

About Us

Job Summary

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.