{"id":3975833,"url":"https://alion.io/job/findmore-consulting-forward-deployed-engineer-fde","title":"Forward-Deployed Engineer (FDE)","company":{"id":4374794,"name":"Findmore Consulting","domain":"findmore.pt","url":"https://alion.io/company/findmore-pt","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":31,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-09T16:40:59Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T18:02:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Main tasks\nWork directly with customers to understand their business challenges, technical requirements, and operational workflows.\nDesign, develop, and deploy AI-powered solutions tailored to real-world customer needs.\nBuild production-ready applications, APIs, integrations, and automated workflows using modern software engineering practices.\nDevelop and integrate LLM-based applications, AI agents, and intelligent automation systems.\nOwn the end-to-end technical delivery process, from requirements gathering and prototyping to deployment and ongoing optimization.\nIntegrate solutions with customer infrastructure, databases, third-party APIs, and enterprise systems.\nTroubleshoot complex technical issues, ensuring reliability, scalability, security, and performance.\nCollaborate closely with product and engineering teams to translate customer feedback into product improvements and reusable capabilities.\nIdentify opportunities to automate processes, improve operational efficiency, and deliver measurable business value.\nAct as a trusted technical partner, communicating effectively with both technical and non-technical stakeholders.\nRequirements\nBachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.\n3+ years of professional experience in software engineering, backend development, or similar technical roles.\nStrong programming skills in Python and/or TypeScript.\nSolid experience designing and developing REST APIs, backend services, and scalable software applications.\nHands-on experience with cloud platforms such as AWS, Azure, or GCP.\nExperience working with relational and/or NoSQL databases, data pipelines, and third-party integrations.\nUnderstanding of LLMs, generative AI technologies, and AI application development.\nFamiliarity with software deployment, CI/CD practices, containerization, and production environments.\nStrong analytical thinking, debugging skills, and ability to solve complex technical problems independently.\nExcellent communication skills and ability to translate business needs into technical solutions.\nComfortable working directly with customers in fast-paced, dynamic, and ambiguous environments.\nStrong sense of ownership, autonomy, and results-oriented mindset.\nNice to have\nHands-on experience building AI agents, RAG pipelines, and LLM-powered applications.\nExperience with AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.\nFamiliarity with vector databases, embeddings, and semantic search technologies.\nExperience with Docker, Kubernetes, Terraform, or infrastructure-as-code tools.\nKnowledge of enterprise security, authentication protocols, and data privacy best practices.\nExperience integrating with enterprise platforms such as Salesforce, SAP, or other business-critical systems.\nPrevious experience in a Forward-Deployed Engineer, Solutions Engineer, or customer-facing engineering role.\nExperience working in early-stage startups or high-growth technology companies.\nFamiliarity with monitoring, observability, and evaluation frameworks for AI applications.\nStrong product mindset and ability to identify opportunities for scalable, reusable 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