{"id":2406558,"url":"https://alion.io/job/indicium-ai-ai-engineer-2","title":"AI Engineer","company":{"id":2826334,"name":"Indicium AI","domain":"indicium.ai","url":"https://alion.io/company/indicium-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":97000,"period":"year","method":"role_country_seniority_unknown","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-12T00:00:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Sobre a vaga\nWe're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications. You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems.\n\nO que vais fazer\n\nDesign and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks\nCreate evaluation frameworks to measure and monitor system performance, accuracy, and reliability\nBuild and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines\nExperience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)\nImplement feedback loops and observability to continuously improve system performance\nCraft effective prompts and optimize for latency, cost, and quality across different model providers and configurations\n\nO que é pedido\n\nHands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes\nPractical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering\nExperience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed\nStrong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure)\nUnderstanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines\nSolid foundations and understanding of production-grade, cloud-native platform and infrastructure requirements, design, and implementation\nStrong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM-based systems\nAbility to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs\n\nValorizado\n\nExperience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot\nExperience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG\nExperience with real-time streaming, multimodal models, or search technologies like Elasticsearch\nFamiliarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies\nExperience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices\nExperience with setting up tool calling agents, handoffs, and guardrails\n\nO que é oferecido\n\nHighly competitive salary package along with company bonus\nPick your own Gear! Macbooks, PCs, Accessories\nDrive your development with a personal learning budget\nHoliday Entitlement - 25 days holiday plus bank holidays\nLearning & Development: 1.500€ training budget + 5 training days\nCompany Bonus - Discretionary company and personal bonus paid quarterly\nPension Scheme\nChoose Your Kit - Select from a range of laptops and accessories\nSocial Events: meeting - Ups, Squad events, Summer/ Christmas events, etc\n\nResumo organizado por IA a partir do anúncio original. 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