{"id":1940891,"url":"https://alion.io/job/climb-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":3868165,"name":"Climb","domain":"climb.ai","url":"https://alion.io/company/climb-5","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":69},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Delta Lake","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-12T00:06:24Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-10-06T21:38:28Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"About Climb\nClimb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. As a Databricks partner, we go deep on lakehouse architecture, machine learning, and applied AI, with a bias toward production over proof of concept. Our team brings deep technical expertise and a builder's mindset to every engagement, and we measure our work not just by what ships, but by the business impact it drives.\nRole Summary\nForward Deployed Engineers build the features and components that make up Climb's client engagements. You work inside real client environments alongside a Senior Forward Deployed Engineer or Forward Deployed Architect, taking well-scoped pieces of work from design through implementation and deployment.\nAt Climb, this is where you learn the forward-deployed craft. You are fully autonomous on the work assigned to you: you own your components, make the implementation decisions within them, and are accountable for the quality of what you ship. The architecture of the wider system and the client relationship sit with more senior Climbers, which gives you room to go deep on the build while you develop the judgment that comes with broader scope.\nOur engagements focus on building production data platforms, AI applications, intelligent agents, and modern analytics systems, most often on Databricks, but always using the technologies that best fit the client's environment and business goals.\nKey Responsibilities\nBuild the components and features you are assigned: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load.\n\nOwn the implementation decisions within your scope and be accountable for the quality, testing, and reliability of what you ship.\n\nWork from a scoped brief: turn a defined requirement into working software without needing to be told how.\n\nParticipate in architecture reviews, standups, and working sessions; ask the questions that surface constraints early.\n\nRaise blockers, risks, and scope changes to your Senior Engineer or Architect as soon as you see them, not after they land.\n\nWrite documentation and runnable, maintainable code so the client can operate what you build after the engagement ends.\n\nEngage directly with client engineers and stakeholders in the course of your work, with support from more senior Climbers on the broader relationship.\n\nBuild your range deliberately: pick up new tools, patterns, and parts of the stack as engagements require.\n\nRequired Qualifications\n2+ years of software engineering, data engineering, or technical delivery experience.\n\nDemonstrated ability to take a scoped requirement and deliver working, production-quality software with limited supervision.\n\nHands-on experience in one or more of: application or backend development, cloud environments (AWS, Azure, or GCP), data pipeline development, or LLM application development.\n\nStrong fundamentals in at least one primary language (Python, Scala, Java, or equivalent) and SQL.\n\nClear communicator: can explain what you built, what you decided, and where you are stuck, to both engineers and non-technical stakeholders.\n\nComfort working in someone else's codebase and environment, and adapting to a client's constraints and standards.\n\nGenuine appetite to learn the client-facing side of the work, not just the systems and code.\n\nPreferred Qualifications\nExposure to Databricks (Delta Lake, Workflows, Unity Catalog, Mosaic AI) or a comparable modern data platform.\n\nExperience with production AI or LLM systems: RAG pipelines, agents, or model-backed applications.\n\nFamiliarity with CI/CD, testing discipline, and infrastructure-as-code.\n\nPrior consulting, systems integrator, agency, or other client-facing experience.\n\nExperience working with AI-assisted development and agentic tooling (e.g., Claude Code or equivalent).\n\nNote on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire.\nWho Thrives Here\nThis role is designed for engineers who are strong builders today and are growing toward owning complete workstreams and client relationships.\nYou finish what you start and hold yourself to a high bar without being chased.\n\nYou ask early rather than guessing, and you bring a proposed answer with the question.\n\nYou are comfortable being the most junior person in a client room and still adding value.\n\nYou'd rather ship something maintainable than demo something clever.\n\nWhy Climb\nGround floor, real backing. You are joining early, with founders who have built and exited firms like this before. You help write the playbook rather than inherit one.\n\nOutcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets.\n\nSenior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work.\n\nIP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice.\n\nAutonomy with a bench. Minimal oversight in the field, a strong senior technical bench behind you when the problem warrants it.\n\nWhat We Offer\nCompetitive base salary with performance-based bonuses\n\nMacBook Pro and swag kit so you can do your best work\n\nComprehensive health, dental, and vision insurance\n\n401(k) with company match\n\nGenerous holidays, flexible PTO, and remote-first work environment\n\nProfessional development budget including Databricks and cloud certifications\n\nSpot bonuses for relevant certifications\n\nConference attendance and thought leadership opportunities\n\nCollaborative, low-ego culture with direct access to leadership\n\nOpportunity to shape a growing practice from the ground floor\n\nClimb is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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