Backend Developer (Node.Js/Typescript)

Job Overview
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Salesforce is hiring Senior Forward Deployed Engineers – the Technical Builders – responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You’ll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale.
Responsibilities
- Partner with a Deployment Strategist to own customer outcomes end‑to‑end and act as the senior technical authority.
- Own end‑to‑end build and deployment of agentic AI solutions for Salesforce’s most strategic customers, from architecture decisions through production handoff.
- Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi‑agent orchestration, deterministic guardrails, and integration patterns that hold up in enterprise environments.
- Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer‑specific platforms.
- Resolve technical blockers that other engineers can’t—data integration failures, model deployment issues, orchestration breakdowns, performance regressions.
- Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
- Develop proofs‑of‑concept and MVPs quickly, judging which decisions can be deferred and which need to be right the first time.
- Codify lessons learned into patterns, reusable assets, and internal frameworks that become playbooks for the organization.
- Mentor other engineers through code reviews, pair sessions, and shared work.
- Provide technical depth on at‑risk or strategically critical deployments when senior engineering judgment is needed.
- Surface field insights directly to Product and Engineering to inform the Agentforce roadmap.
- Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
Qualifications
- 6+ years of software engineering or technical delivery experience with proven end‑to‑end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
- Degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with conversational knowledge of the others.
- Experience integrating LLMs into production, using frameworks like LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices in real customer contexts.
- Deep experience in data modeling, processing, and analytics across platforms such as Salesforce Data 360, Snowflake, or Databricks.
- Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- Entrepreneurial, get‑things‑done mindset focused on fast, impactful delivery—along with judgment to know when “fast” is the wrong call.
- Mentored technical talent and created reusable assets, frameworks, playbooks, and internal tooling.
- Excellent communication skills with engineering peers, customer architects, and executive stakeholders.
- Active tinkering with evolving AI/data landscape, piloting new tools, experimenting with new models, and staying genuinely curious.
- Fluent in Spanish and English.
- Willingness to travel approximately 25% of the time, embedded with customer engineers.
EEO Statement
Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. xhfqzwm The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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