AI Process Forward Deployed Engineer
Jobgether
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This role on the market
615 open deployed roles across 144 companies are on ApplySarthi right now, most of them in Bengaluru (15), Hyderabad (4), Delhi NCR (3).
- Senior Forward Deployed EngineerSynthesia
- Forward Deployed Engineer (EMEA)Smartcat
- Forward Deployed Engineer, AI SystemsEverpure
- Forward Deployed EngineerUforce
- Forward Deployed Engineering Team LeadTacto
What deployed roles keep asking for: Python (46%), AWS (37%), LLMs (33%), GCP (31%), Azure (30%), Stakeholder management (24%), JavaScript (23%), TypeScript (23%) — counted across their open postings here.
Jobgether has 4,481 open roles listed here.
- AI Harness Engineer
- (Senior or Staff) Backend Engineer, AI tooling
- (Senior or Staff) Backend Engineer, AI tooling
- (Senior or Staff) Backend Engineer, AI tooling
- (Senior or Staff) Backend Engineer, AI tooling
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for deployed roles keep coming back to Python, AWS, LLMs, GCP. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with System design? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the AI Process Forward Deployed Engineer at Jobgether interview free →Accountabilities: Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results. Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period. Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments. Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks. Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements. Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities. Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations. Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff. Contribute engineering insights from customer deployments directly back into product development and platform evolution. Travel occasionally when required to support customer or team engagements. Requirements Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale. Strong software engineering capabilities, including the ability to debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems. Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks. Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs. Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders. Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences. Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices. Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus. Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous. Production experience with agentic systems or AI-integrated workflows is a plus. Contributions to shared platforms or open-source projects are valued. Ability and willingness to use the product as part of the role. Willingness to travel occasionally as required. Benefits Fully remote and flexible working environment. Home office budget and support for coworking spaces. Flexible time off. Competitive, location-based compensation with transparent salary structures. Equity through a Virtual Stock Option Plan where applicable. Locally tailored healthcare benefits. Global mental wellbeing support through Modern Health. Live Well Lifestyle Spending Account supporting health, family, personal interests, experiences, and financial wellbeing, launching in 2026 and scaling to €1,000 annually from 2027. Retirement and pension plans, often including company contributions. Life and disability insurance where applicable. Annual learning and development budget of up to $/€/£1,000 for courses, certifications, books, and other self-directed learning. Annual company kickoff events, team offsites, local gatherings, and connection budgets that support meaningful in-person collaboration. Inclusive global environment with opportunities to work alongside diverse teams and cultures.
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Listed on lever · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.