{"id":1788074,"url":"https://alion.io/job/tkxel-ai-engineer","title":"AI Engineer","company":{"id":62299,"name":"Tkxel","domain":"tkxel.com","url":"https://alion.io/company/tkxel","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","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":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":99000,"period":"year","method":null,"sample_n":5136},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Celery","optional":false},{"name":"CrewAI","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pgvector","optional":false},{"name":"Prefect","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Tool Use","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-03T17:33:22Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-06T20:11:51Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking an Expert AI Engineer to own the design, architecture, and deployment of agentic AI systems for a bilingual enterprise knowledge platform built on large language models. You will define the technical direction for autonomous, multi-agent, and multi-step workflows-incorporating planning, reasoning, memory, and tool use-on top of production-grade Retrieval-Augmented Generation (RAG) pipelines, along with the workflow, integration, and background processing layers that support them. This role carries deep end-to-end ownership of architecture, quality, and performance.\nResponsibilities\nArchitect agentic systems incorporating query planning, reasoning, memory, tool use, and multi-step task execution\n\nDefine orchestration patterns that coordinate agents, retrieval, tools, and LLM calls into reliable, observable autonomous pipelines\n\nDesign robust single- and multi-agent architectures with state management, control flow, error recovery, and guardrails\n\nArchitect the workflow layer: composable, versioned workflows combining deterministic steps, agentic branches, conditional routing, and human-in-the-loop checkpoints, with durable state, checkpointing, and retries\n\nDesign the connector and integration layer for enterprise content sources and APIs, covering authentication, incremental sync, content normalization, and permission-aware retrieval\n\nOwn the background processing layer, including scheduled ingestion, index and embedding refresh, job queuing and concurrency control, failure recovery, and content-freshness monitoring\n\nOwn and optimize the underlying RAG layer spanning chunking, embedding, retrieval, reranking, and grounded generation\n\nImplement and tune dense, sparse, hybrid, and metadata-based retrieval using vector databases and BM25\n\nEstablish prompting, grounding, and verification strategies to ensure responses remain accurate and citation-backed\n\nDefine evaluation frameworks and quality gates; drive continuous improvement across task success, relevance, latency, and reliability\n\nRequirements\nDeep, demonstrated expertise in agentic AI and LLM-based applications, with a track record of production systems\n\nExpert Python proficiency and a strong software engineering foundation, including production deployment and system design\n\nProven experience architecting agentic systems with planning, tool use, orchestration, and multi-agent coordination\n\nDeep hands-on experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI\n\nStrong command of agent state management, tool/function calling, and standards such as the Model Context Protocol (MCP)\n\nDemonstrated experience designing workflow orchestration systems, including DAG or state-machine execution, durable state, retry semantics, and idempotent step design\n\nHands-on experience building connectors and integrations against enterprise systems and third-party APIs, including OAuth and service-account authentication, rate limiting, and permission-aware synchronization\n\nProduction experience with background job and scheduling infrastructure (Celery, Airflow, Prefect, Temporal, or equivalent), including scheduled ingestion and failure recovery\n\nHands-on experience with vector databases (Milvus, FAISS, Qdrant, pgvector) and lexical search (BM25, Elasticsearch)\n\nExpert command of retrieval techniques, including dense, sparse, hybrid, and filtered search, plus reranking\n\nAdvanced prompt engineering and grounding techniques for large language models\n\nTrack record of deploying, scaling, and optimizing production-ready agentic AI pipelines\n\nStrong grasp of RAG and agent evaluation methodologies, with the ability to define quality standards","description_format":"text","description_chars":3684,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-03T17:33:22Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["conf:1","agency","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/tkxel-ai-engineer","json_url":"https://alion.io/job/tkxel-ai-engineer.json","meta":{"generated_at":"2026-10-06T21:49:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1642,"day_limit":5000,"remaining_today":3358,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":62299},"rest":"https://alion.io/mcp/rest/get_company?id=62299"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftkxel-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftkxel-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftkxel-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tkxel-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftkxel-ai-engineer"}]}