FORWARD DEPLOYED ENGINEER (FDE) – AGENTIC AIFORWARD DEPLOYED ENGINEER (FDE) – AGENTIC AI

• FORWARD DEPLOYED ENGINEER – AGENTIC AI • Locations: New York City, New York (NY) | San Francisco Bay Area, California (CA) | Dallas, Texas (TX) | Chicago, Illinois (IL) • Work Model: Hybrid — fully remote is not available • Annual Base Salary: USD $150,000–$200,000, with potential flexibility up to $220,000 for exceptional candidates, subject to approval. • BestInfo Systems is seeking experienced Forward Deployed Engineers (FDEs) to work directly with clients and build, integrate, evaluate, and deploy enterprise AI solutions that solve real business challenges. This role is suited to hands-on engineers who combine strong software development skills with practical Generative AI, agentic systems, cloud engineering, and client-facing delivery experience. • Key Responsibilities • ·Partner with clients to understand business workflows, technical constraints, and desired outcomes. • ·Design, code, integrate, evaluate, and deploy AI agents and enterprise LLM applications. • ·Develop RAG solutions and integrate APIs, tools, and enterprise systems. • ·Build reliable solutions and move them from proof of value toward production. • ·Explain architecture choices and technical trade-offs to technical and business stakeholders. • Required Qualifications • ·8+ years of experience in software engineering, solution architecture, or technical consulting, including client-facing delivery. • ·Strong hands-on Python skills, plus at least one additional language such as TypeScript, Java, or Go. • ·Practical experience with LLM applications, Agentic AI, RAG, and tool/API integrations. • ·Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP. • ·Demonstrated personal contribution to designing, coding, integrating, evaluating, and deploying working solutions. • ·Strong communication, problem-solving, and solution architecture skills. • ·Production Generative AI experience is a plus. • Work Location & Travel • ·Hybrid work is required in New York City, New York; the San Francisco Bay Area, California; Dallas, Texas; or Chicago, Illinois. Fully remote work is not available. • ·Candidates should indicate their preferred hub and confirm willingness to work in a hybrid arrangement. • ·Relocation may be considered depending on the candidate’s current location and preferred hub. • ·Travel may be approximately 25% when necessary. Travel is separate from the hybrid office-attendance requirement; the exact weekly onsite schedule is subject to confirmation. • Work Authorization & Employment Eligibility • ·US citizens and lawful permanent residents (Green Card holders) are preferred. • ·H-1B candidates who require a transfer may be considered. • ·OPT, STEM OPT, and certain EAD categories may be considered on a case-by-case basis, subject to confirmation of individual eligibility and the hiring employer’s requirements. • ·Applicants should state their current US work authorization category, expiration date where applicable, and whether they require sponsorship or a transfer. • ·Candidates with EAD should specify the exact category and expiration date. No general requirement for more than two years of EAD validity has been confirmed. • ·Successful candidates must be willing to join the hiring employer directly. This is not a BestInfo Systems W-2 payroll position. • Selection Process • The process includes a 45-minute CoderPad assessment focused on cloud expertise, plus technical, client, and HR interviews. The sequence may vary by candidate. At the assessment stage, candidates will coordinate availability and complete the assessment within 24 hours of receiving their individual link. Candidates may familiarize themselves with https://coderpad.io/. • How to Apply • Please send your updated resume and LinkedIn profile, and include: • ·Current location and preferred hub (New York, NY; San Francisco Bay Area, CA; Dallas, TX; or Chicago, IL) • ·Current US work authorization category and expiration date, if applicable • ·Annual base salary expectations • ·Notice period or earliest availability • ·Confirmation of hybrid-work and travel flexibility • Qualified candidates with demonstrable hands-on AI engineering and production delivery experience are encouraged to apply.