{"id":3577037,"url":"https://alion.io/job/raydar-field-engineer","title":"Field Engineer","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"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":{"min":176000,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-11-01T13:05:43Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"About the company\nOur client is a fast-growing software company.\nThe role\nRaydar is recruiting for this role on behalf of our client. Work directly with large organizations as a hands-on technical lead, guiding AI initiatives from early conversations through to live deployment. The role combines engineering, pre-sales consulting and stakeholder management, and passes field insights back to internal product teams.\nWhat you'll do\n- Run technical discovery sessions, scope proofs of concept, and carry out load testing and evaluations to confirm the right architecture and deployment setup for each customer.\n- Build proofs of concept and production integrations hands-on inside customer environments, working within their infrastructure and security constraints.\n- Advise customers on model selection, fine-tuning approaches and evaluation practices as they move from experimentation to production.\n- Manage relationships across multiple stakeholders, identify internal champions and align the right people to move opportunities forward.\n- Share recurring customer challenges and deployment patterns with product and engineering teams to inform the roadmap.\n- Travel domestically to customer sites as needed.\nRequirements\nWhat we're looking for\n- 3+ years of experience in a technical, customer-facing role.\n- A track record of delivering working AI or ML software in a client's own live systems, with hands-on exposure to large language model serving and fine-tuning.\n- Working knowledge of open-model serving tools and the trade-offs involved in inference, plus comfort in the terminal.\n- Experience deploying and running infrastructure for open-model inference.\n- Solid Python programming ability, along with experience running GPU workloads on a major cloud platform and familiarity with Kubernetes.\n- Executive presence in enterprise settings, able to hold a technical deep-dive with an engineer and present architecture trade-offs to a senior executive on the same day.\n- Experience carrying a pre-sales technical engagement from the first call through proof of concept scoping, evaluations and model recommendations.\n- Background at an AI-focused startup, or at an enterprise software company building AI features.\n- Experience working with a major cloud provider in an AI capacity.\n- Willingness to travel domestically to customers.\nBonus points\n- Experience navigating enterprise organizational dynamics end-to-end.\n- Experience with preference-based or reinforcement fine-tuning workflows.\nBenefits\nCompensation and benefits\n- Base salary: USD 176,000 to 224,000 per year\n- Equity\n- Performance-based variable compensation\n- Comprehensive benefits package\nLocation and work model\n- Remote (US)\n- Full-time","description_format":"text","description_chars":2717,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United 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