{"id":835761,"url":"https://alion.io/job/skylabs-ai-senior-agentic-ai-engineer","title":"Senior Agentic AI Engineer","company":{"id":688901,"name":"SkyLabs AI","domain":"skylabs-ai.com","url":"https://alion.io/company/skylabs-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":46,"open_postings":10,"ghost_share":0.9,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":{"min_usd":35000,"max_usd":90000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Abstract","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CMake","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLVM","optional":false},{"name":"LoRA","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Valgrind","optional":false},{"name":"C","optional":true},{"name":"LangChain","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-01-01T00:00:00Z","employer_posted_date":"2026-01-01","last_verified_at":"2026-10-18T23:33:48Z","board_verified":true,"closed_at":null,"days_open":291,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":290},"description":"About Us\nAt SkyLabs AI Inc., we are at the forefront of the artificial intelligence revolution. As a US-headquartered company, we conduct applied research on AI for intelligent reasoning. We specialize in complex neurosymbolic AI to solve intricate problems within software engineering. Our team is composed of world-class researchers and engineers dedicated to building the platforms and intelligent agents that will power the next generation of software. If you are passionate about building truly intelligent systems and want to make a lasting impact, join us.\nThe Role\nWe are seeking an exceptional Senior Agentic AI Engineer to join our core team. This is not a typical AI role; you will be responsible for architecting, building, and deploying complex, autonomous AI agents designed to reason about and operate within the C++ software engineering lifecycle.\nYou will be building agents that can programmatically interact with compilers (LLVM), debuggers (GDB/LLDB), build systems (CMake/Bazel), and static analysis tools to understand, modify, and build complex C++ codebases. The ideal candidate is a master programmer with a deep, practical understanding of both agentic AI and the C++ developer ecosystem.\nRequirements\nKey Responsibilities\nArchitect & Build Agents: Design, develop, and refine sophisticated, multi-step AI agents that can reason, plan, and execute complex software engineering tasks.\nIntegrate SWE Tools: Natively integrate agents with the C++ ecosystem (build systems, debuggers, profilers, and static analyzers) to enable programmatic code comprehension and modification.\nDevelop Agentic Frameworks: Implement and innovate on agentic patterns (ReAct, CoT, LangGraph) and orchestrate multi-agent systems.\nBuild Data Pipelines: Design telemetry systems to capture agent trajectories (state, action, observation) to create high-quality datasets for fine-tuning.\nManage RAG Systems: Implement and optimize RAG pipelines using vector databases and code-specific embedding models (e.g., GraphCodeBert) for knowledge retrieval.\nDesign Sandboxed Environments: Develop remote execution environments (using Docker, Firecracker) where agents can safely build and run C++ code.\nCollaborate on Infrastructure: Work with the backend team to design APIs (gRPC, REST) and cloud infrastructure (Kubernetes, GCP/AWS) to support the agentic systems.\nQualifications & Skills\nCore Profile: Agentic AI Developer\nExcellent theoretical and practical knowledge of LLMs: Deep understanding of transformer architectures, attention mechanisms, fine-tuning techniques (LoRA, QLoRA), and retrieval-augmented generation (RAG).\nVast experience in building LLM agents: Proven track record of designing, implementing, and evaluating complex, multi-step agents that can reason, plan, and use tools.\nExcellent development skills in Python: Mastery of Python for AI/ML development, data processing, and backend service integration.\nStrong Computer Science (CS) background: Solid foundation in algorithms, data structures, operating systems, and software engineering principles.\nSpecific Experience Required:\n1. Agentic Frameworks & LLM Operations\nAdvanced Prompt Engineering: Demonstrable experience with reasoning-and-action (ReAct), Chain of Thought (CoT), and graph-based agent structures (e.g., LangGraph) to handle complex, long-horizon tasks.\nAgent Orchestration Frameworks: Hands-on experience with frameworks like LangGraph for coordinating multiple agents and managing complex state.\nRAG: Vector databases, embedding models for code (e.g., GraphCodeBert) and Graph Vector DBs based on ASTs.\nLLM Evaluation & Benchmarking: Experience with code generation benchmarks, specifically SWE-bench (and knowledge of its variants like SWE-bench++), to rigorously test and improve model performance.\nTelemetry & Fine-Tuning Pipelines: Designing data collection systems (telemetry) to capture agent trajectories (state, action, observation) for creating high-quality datasets for model fine-tuning.\n2. C++ & Software Engineering (SWE) Tooling\nDeep C++ Ecosystem Knowledge: This is non-negotiable. Must have experience with the tools the agent will use, including:\nBuild Systems: CMake, Make, and preferably Bazel.\nDebuggers: GDB, LLDB, and their programmatic interfaces.\nProfilers: perf, Valgrind, or other C++ performance analysis tools.\nIDE Extension / Language Server Protocol (LSP): Experience building IDE plugins (for VS Code, CLion, etc.) or familiarity with the Language Server Protocol (LSP) to understand how an agent can programmatically interact with an IDE's core features (e.g., \"find all references,\" \"go to definition\").\n3. Program Analysis\nStatic & Dynamic Analysis: Understanding of static analysis (e.g., Clang-Tidy, Clang Static Analyzer) and how to parse their output to guide an agent's code modifications.\nAbstract Syntax Trees (ASTs): Experience using tools like Clang's LibTooling or Tree-sitter to programmatically parse, analyze, and perform \"surgical changes\" to C++ code, which is far more reliable than text-based regex.\n4. Backend & Cloud Infrastructure\nRemote Execution & Sandboxing: Experience with container technologies (Docker, Firecracker) and remote execution environments to create the \"remote sandbox\" where agents can safely build and run code.\nAPI & Protocol Design: Experience designing and integrating with RPC/API protocols (gRPC, REST) to handle communication between the IDE plugin, the backend, and various agent servers.\nCloud Services & Databases: Proficiency with a major cloud provider (AWS, GCP, Azure), database management (SQL/NoSQL), and cloud-native orchestration tools (e.g., Kubernetes) for managing the agent orchestration and backend infrastructure.\nWho You Are\nYou are a builder at heart, driven by curiosity and a desire to solve hard problems. You don't wait for instructions; you identify opportunities and seize them. You are comfortable with ambiguity and thrive in a fast-paced, innovative environment where you are encouraged to experiment and push boundaries. You are a clear communicator who can articulate complex technical concepts and work collaboratively to achieve ambitious goals.\nBenefits\nWhat We Offer\nCompetitive salary in USD\nComprehensive health allowance\nRelocation allowance (if you're moving to Islamabad)\nMonthly team events and offsites\nA beautiful, collaborative office space\nWork alongside world-class AI researchers and engineers","description_format":"text","description_chars":6407,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["AI Agents","Code Intelligence","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-12T18:56:38Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.194,"p_room":0.28,"age_days":289,"expected_fill_days":37,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/skylabs-ai-senior-agentic-ai-engineer","json_url":"https://alion.io/job/skylabs-ai-senior-agentic-ai-engineer.json","meta":{"generated_at":"2026-10-19T04:35:19Z","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_verified","counted_by":"address","units_charged":1,"used_today":2730,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":688901},"rest":"https://alion.io/mcp/rest/get_company?id=688901"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fskylabs-ai-senior-agentic-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%2Fskylabs-ai-senior-agentic-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%2Fskylabs-ai-senior-agentic-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/skylabs-ai-senior-agentic-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fskylabs-ai-senior-agentic-ai-engineer"}]}