Solution Builder

Leadout Capital; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Leadout Capital is seeking a senior, hands-on IC builder to design, deploy, and operate production-grade agentic AI solutions at customer sites. You will work directly with a Director in a two-person pod to ship high-impact AI systems, owning architecture and delivery end-to-end.

You will own data pipelines, integrations, and production infrastructure, enabling rapid prototyping to production handoff while traveling ~25% to client sites. Strong Python/JS/Java/Apex and LLM experience are required.

Qualifications

• 4–8+ years of software engineering, AI delivery, or technical consulting with hands-on ownership of production systems.
• Proven track record shipping production software—not prototypes or demos.
• Hands-on LLM integration experience: agent frameworks (LangChain, LlamaIndex, or equivalent).
• Fluency in Python, JavaScript/TypeScript, Java, or Apex.
• Deep experience in data modeling, APIs, and integration patterns.
• Ability to work autonomously in ambiguous, fast-moving customer environments with delivery accountability.
• Strong communication skills to engage technical stakeholders and explain architecture decisions.
• Ability to operate as the sole builder in a small, high-trust pod.
• Willingness to travel ~25% of the time, at customer sites.

Responsibilities

• Architect, build, and deploy production-grade agentic AI solutions end-to-end.
• Design and implement AI agents, multi-agent orchestration, and integration patterns for enterprise environments.
• Own data pipelines, system integrations, and production AI infrastructure across Salesforce and customer platforms.
• Prototype rapidly from ambiguous requirements and engineer for production.
• Resolve complex blockers in data integration, orchestration, and model deployment.
• Drive solutions from first commit to production handoff and customer consumption.
• Operate as the technical execution half of a 2-person pod with the Director.
• Translate strategy into concrete technical decisions and daily progress.
• Communicate blockers and risks early to keep the pod aligned.
• Represent depth in customer-facing sessions and demos.
• Surface patterns and opportunities to product teams.

Skills

Production ownership

LLM integration

Programming languages

Data modeling & APIs

Autonomous delivery

Communication skills

Independent pod builder

Travel readiness

Tools

LangChain

LlamaIndex

Snowflake

Databricks

Job description

About the Role

You are the builder. Production delivery is your job. The pod exists to go fast and go deep.
Salesforce is hiring Solution Builders — senior individual contributors who are the technical engine of a 2-person delivery pod. You partner with a Director who owns strategy and customer relationships; you own the build. You design and deploy production-grade agentic AI systems directly at customer sites, working hands-on every day. No overhead, no managing other builders — just you, your pod partner, and the work in front of you.
This is a hands-on IC delivery role. Your output is working software in production at the customer.

What You'll Do

Build & Deploy (Primary Focus)

• Architect, build, and deploy production-grade Agentforce and agentic AI solutions end-to-end — this is your core job

• Design and implement AI agents, multi-agent orchestration, agentic workflows, and the integration patterns that hold up in enterprise environments

• Own data pipelines, system integrations, and production AI infrastructure across Salesforce, Snowflake, Databricks, and customer platforms

• Build rapidly from ambiguous requirements — prototype to validate, then engineer to last

• Resolve complex technical blockers: data integration failures, orchestration breakdowns, model deployment issues

• Drive solutions from first commit through production handoff and active customer consumption

Pod Partnership with Director

• Operate as the technical execution half of a 2-person pod — the Director shapes what gets built and why; you own how it gets built and make sure it ships

• Translate strategy and customer context from the Director into concrete technical decisions and daily delivery progress

• Communicate blockers, risks, and architecture tradeoffs clearly and early so the pod stays in sync

• Represent technical depth in customer-facing sessions — architecture reviews, demos, working sessions, production readouts

• Flag patterns, gaps, and opportunities you see in the field back to the Director and to Agentforce product teams

Customer Engagement

• Embed directly with customer engineering and data teams — not remotely, not occasionally, but as a consistent presence

• Build trust with customer technical counterparts through delivery quality and technical credibility, not just relationship management

• Guide customer teams through the technical decisions required to operationalize AI at scale

• Surface expansion signals and customer feedback to the Director

• Contribute reusable patterns, reference implementations, and field insights back to the broader Builder org

Craft & Continuous Growth

• Stay sharp on Agentforce platform evolution, agentic delivery patterns, LLM advances, and the competitive AI landscape

• Codify what you learn — reusable components, playbooks, and lessons from the field that raise the bar for the whole org

• Bring a growth mindset to hard problems: when something breaks or doesn't work, you dig in rather than elevate

What You Bring

Required

• 4–8+ years of software engineering, AI delivery, or technical consulting, with hands‑on ownership of production systems (Builder: 4–6 years; Senior Builder: 6–8+ years)

• Proven track record building and shipping production software — not prototypes, not demos, but systems that run in the real world

• Hands‑on LLM integration experience: agent frameworks (LangChain, LlamaIndex, or equivalent), prompt engineering, and responsible AI practices in production

• Fluency in Python, JavaScript/TypeScript, Java, or Apex — and the range to add to that list as the work demands

• Deep experience in data modeling, APIs, and integration patterns — able to design them, not just consume them

• Ability to work autonomously in ambiguous, fast‑moving customer environments with real delivery accountability

• Strong enough communication skills to engage technical stakeholders and explain architecture decisions clearly

• Ability to operate effectively as the sole builder in a small, high‑trust pod

• Willingness to travel ~25% of the time, working directly at customer sites

Preferred

• Salesforce platform expertise: Agentforce, Apex, LWC, Data Cloud, Salesforce APIs

• Salesforce certifications (Platform Developer I/II, Agentforce Specialist, System Architect)

• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)

• Prior experience in forward‑deployed engineering, consulting, or professional services

• Familiarity with DevOps/CI-CD, observability tooling, or data governance frameworks