{"id":2810828,"url":"https://alion.io/job/eurus-technologies-junior-ai-engineer","title":"Junior AI Engineer","company":{"id":4446804,"name":"Eurus Technologies","domain":"eurustechnologies.com","url":"https://alion.io/company/eurus-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rooster","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Islamabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Ollama","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"LLM Guardrails","optional":true},{"name":"Looker","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Power BI","optional":true},{"name":"Rest API","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-02T10:06:45Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-22T04:42:34Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":110},"description":"Location: Islamabad, PakistanPosition: 2\nMode of Work: On-Site\nShift: Night Shift (9pm-6am)\nWe are seeking a talented and motivated Junior AI Engineer to join our team. The ideal candidate will have expertise working with AI & Data. Additionally, experience with Cloud platforms, data visualization tools & Docker is a strong advantage.\nQualifications:\n1 to 2 years of professional experience as an AI/Data Engineer or related role.\nExperience building applications with LLMs (OpenAI, Anthropic, Google Gemini, or open-source via Ollama / HuggingFace)\nHands-on experience with LangGraph and/or LangChain for agentic and multi-step LLM workflows\nUnderstanding of AI agent architecture: tool calling, state graphs, routing logic, and multi-agent coordination\nPrompt engineering skills: system prompts, few-shot prompting, chain-of-thought, structured output, and prompt versioning\nShort-term vs. long-term memory management for agents: in-context memory, vector store retrieval, and persistent state (Redis, PostgreSQL)\nStrong proficiency in SQL and database management.\nExperience with Python for data processing and automation.\nUnderstanding of ETL/ELT concepts and data pipeline development.\nFamiliarity with relational databases such as PostgreSQL, MySQL, or SQL Server.\nFamiliarity with version control systems such as Git.\nUnderstanding of data warehousing concepts and dimensional modeling.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.\nKnowledge of data visualization and reporting tools such as Power BI, Tableau, or Looker is a plus.\nExposure to Docker and containerized deployments is a plus.\nUnderstanding of data governance and security best practices.\nStrong analytical and problem-solving skills.\nGood communication and teamwork abilities.\nEducation:\nBachelor's degree in Data Science, Computer Science, Software Engineering, or relevant field.\nResponsibilities:\nDesign and build LLM-powered agents and multi-agent workflows using LangGraph or LangChain.\nImplement session and memory management: short-term context handling, long-term memory via vector stores, and persistent user state.\nEngineer and iterate on system prompts, instruction sets, and few-shot examples to improve model reliability and output quality.\nManage token budgets and design chunking, summarization, and retrieval strategies for efficient context window usage.\nIntegrate LLMs with external tools, databases, REST APIs, and knowledge bases using tool-calling and function calling.\nImplement guardrails, output validation, and error-recovery layers for production AI systems.\nDocument agent architectures, prompt versions, memory schemas, and deployment configurations.\nDevelop, maintain, and optimize ETL/ELT pipelines for data ingestion, transformation, and loading.\nDesign and manage data models, databases, and data warehouses.\nCollect, clean, validate, and process data from multiple sources.\nMonitor data pipelines and troubleshoot data-related issues.\nEnsure data accuracy, consistency, and integrity across systems.\nCollaborate with Data Analysts, Data Scientists, and Software Engineers to support reporting and analytics requirements.\nCreate and maintain technical documentation for data workflows and processes.\nAssist in implementing data governance, security, and compliance best practices.\nOptimize database performance and query execution.\nSupport the automation of data collection and reporting processes.\nProvide technical support and documentation.\nCompensation and Benefits:\nMarket Competitive Salary\nPersonal and Family Medical Insurance\nPersonal Life Insurance\nParental Medical Insurance\nPersonal and Family OPD\nPaid Time-off\nEOBI\n•Paid Technical Certifications","description_format":"text","description_chars":3709,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Life 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