{"id":664084,"url":"https://alion.io/job/apexanalytix-ai-engineer","title":"AI Engineer","company":{"id":668920,"name":"apexanalytix","domain":"apexanalytix.com","url":"https://alion.io/company/apexanalytix","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":91,"open_postings":12,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":123,"computed_at":"2026-10-16T05:45:00Z"}},"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":"explicit","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2025-07-08T14:50:03Z","employer_posted_date":"2025-07-08","last_verified_at":"2026-10-17T00:14:02Z","board_verified":true,"closed_at":null,"days_open":465,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":464},"description":"About Us:\nAt apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.\nAnd you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.\nRead more about apexanalytix - https://www.apexanalytix.com/about/\n Quick Take -\nAs an AI Engineer, you’ll drive the end-to-end development of advanced GenAI applications, including agentic AI agents with autonomous workflows, function calling, and LLM model fine-tuning. This role is for an experienced engineer who excels at building robust, production-grade AI systems and pushing the boundaries of what GenAI can accomplish.\nThe Work -\nFine-tune and deploy open-source general purpose LLMs and code-generation models (e.g. Llama 4, qwen2.5) using PEFT, LoRA, QLoRA, instruction tuning, RLHF, etc..\nDesign GenAI applications with agentic capabilities-autonomous, goal-driven agents that can plan, reason, and execute multi-step workflows with minimal human input.\nImplement function calling in workflows, enabling models to invoke external tools, APIs, databases, and services to perform actions or access real-time data.\nBuild agentic RAG pipelines, where LLMs coordinate data retrieval and reasoning dynamically via retrieval-augmented generation.\nCreate and maintain scalable pipelines, including data ingestion, labeling, feature engineering, vector DB management, and MLOps frameworks (MLflow, Kubeflow).\nContainerize applications using Kubernetes and Docker.\nOptimize and monitor model performance, including latency, drift, bias, privacy, and security compliance.\nCollaborate cross-functionally, mediating between data, product, and engineering teams to translate requirements into agentic GenAI solutions.\nStay current with research trends like agentic RL frameworks (e.g., ARTIST), multi-agent orchestration, MCP, and secure function calling.\nThe Must-Haves -\nB.S or M.S. in Computer Science, Data Science, ML/AI or equivalent.\n3-5 years building and deploying AI/ML solutions with demonstrable production experience.\nExtensive experience fine-tuning LLMs and code models with advanced techniques (PEFT/LoRA/QLoRa/RLHF).\nProven track record designing or delivering agentic GenAI applications-function calling, autonomous workflows, RAG pipelines.\nProficient in Python, PyTorch/TensorFlow, Hugging Face, LangChain, LangGraph or similar frameworks.\nExperience in Document and Image Analysis and extracting insights from unstructured data, including text documents and images.\nStrong infrastructure skills: Docker, Kubernetes, CI/CD, MLOps tooling.\nSharp analytical mindset for system optimization, error mitigation, and security best practices.\nExcellent problem-solving and ability to translate business needs into technical design.\nOver the years, we’ve discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.apexanalytix.com/careers/\nWe are currently unable to offer Visa Sponsorship; candidates must be authorized to work in the U.S. without sponsorship now as well as in the future.\nBenefits\nAt apexanalytix we know that our associates are the reason behind our successes. We truly value you as an associate and part of our professional family. Our goal is to offer the very best benefits possible to you and your loved ones. When it comes to benefits, whether for yourself or your family the most important aspect is choice. And we get that. apexanalytix offers competitive benefits for the countries that we serve, in addition to our BeWell@apex initiative that encourages employees’ growth in six key wellness areas: Emotional, Physical, Community, Financial, Social, and Intelligence.\nWith resources such as a strong Mentor Program, Internal Training Portal, plus Education, Tuition, and Certification Assistance, we provide tools for our associates to grow and develop.","description_format":"text","description_chars":4371,"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":["Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Transportation & Logistics","Fraud Detection","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-09-10T21:49:34Z"},{"event":"close","at":"2026-09-22T13:58:01Z"},{"event":"reopen","at":"2026-10-08T10:55:51Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.282,"p_room":0.28,"age_days":464,"expected_fill_days":123,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/apexanalytix-ai-engineer","json_url":"https://alion.io/job/apexanalytix-ai-engineer.json","meta":{"generated_at":"2026-10-17T04:06:00Z","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":5362,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":668920},"rest":"https://alion.io/mcp/rest/get_company?id=668920"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapexanalytix-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%2Fapexanalytix-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%2Fapexanalytix-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/apexanalytix-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapexanalytix-ai-engineer"}]}