{"id":1456852,"url":"https://alion.io/job/nopalcyber-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3806513,"name":"NopalCyber","domain":"nopalcyber.com","url":"https://alion.io/company/nopalcyber","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-03T05:45:00Z"}},"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agno","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","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":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"SIEM","optional":false},{"name":"Tool Use","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure","optional":true},{"name":"Chroma","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Context Engineering","optional":true},{"name":"CVE","optional":true},{"name":"CVSS","optional":true},{"name":"Docker","optional":true},{"name":"Gemini","optional":true},{"name":"Git","optional":true},{"name":"Hybrid Search","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Llama","optional":true},{"name":"LoRA","optional":true},{"name":"Milvus","optional":true},{"name":"Mistral","optional":true},{"name":"MITRE ATT&CK","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"MySQL","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Pydantic","optional":true},{"name":"Qdrant","optional":true},{"name":"React.js","optional":true},{"name":"SQL","optional":true},{"name":"Structured Outputs","optional":true},{"name":"Transformers","optional":true},{"name":"TypeScript","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-07T00:00:00Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-03T21:58:04Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Job Description - Senior AI Engineer (GenAI & Agentic AI) Location: Hyderabad Experience: 5+ Years Total | 2+ Years Hands-on GenAI & Agentic AIEmployment Type: Full-time\nAbout the Role We are looking for a Senior AI Engineer to drive the design, architecture, development, and productionization of Generative AI, Agentic AI, and AI-driven automation solutions for enterprise cybersecurity products. The ideal candidate should be able to independently own AI initiatives end-to-end-from understanding the business problem and defining the AI approach to architecture, implementation, integration, evaluation, deployment, monitoring, and continuous improvement. The role requires strong hands-on engineering capability rather than research-only or API-integration experience.\nKey\nResponsibilities\nOwn AI/GenAI initiatives end-to-end, translating business and cybersecurity requirements into scalable AI solutions.\nDesign and implement Agentic AI and Multi-Agent systems for autonomous investigation, decision support, workflow automation, threat analysis, and security operations.\nArchitect and develop LLM-powered applications, RAG pipelines, AI agents, conversational systems, and intelligent automation workflows.\nDesign agent orchestration including planning, tool/function calling, memory, state management, task decomposition, retries, human-in-the-loop, and guardrails.\nBuild enterprise-grade RAG solutions, including document ingestion, preprocessing, chunking, embeddings, vector search, metadata filtering, reranking, and contextual response generation.\nIntegrate AI agents with enterprise and cybersecurity systems through REST APIs, webhooks, SDKs, databases, SIEM/EDR/security tools, & third-party services.\nEstablish AI evaluation mechanisms covering accuracy, relevance, groundedness, hallucination, tool-call accuracy, latency, reliability, & cost.\nOptimize LLM applications for performance, scalability, reliability, token consumption, latency, and inference cost.\nDesign secure AI solutions addressing prompt injection, data leakage, access control, sensitive information handling, unsafe tool execution, and AI-specific security risks.\nDevelop production-ready AI services and APIs using Python/FastAPI, with appropriate logging, error handling, testing, observability, and monitoring.\nIndependently troubleshoot complex issues across LLM, RAG, agent orchestration, integrations, APIs, databases, and deployment environments.\nMentor AI engineers and contribute to AI architecture standards, reusable frameworks, engineering best practices, and technical decision-making. Must-Have Skills & Experience AI / GenAI / Agentic AI\n5+ years total software/engineering experience, with at least 2+ years hands-on experience in GenAI and Agentic AI.\nStrong practical experience building LLM-based production applications and AI agents.\nStrong understanding of Agentic AI, Multi-Agent Systems, AI workflows, tool calling/function calling, planning, memory, state management, human-in-the-loop patterns and fine-tuning.\nHands-on experience with LangChain and/or LangGraph; experience with CrewAI, AutoGen, Agno, LlamaIndex or similar frameworks is a plus.\nStrong expertise in RAG architecture, embeddings, vector search, hybrid search, reranking, and knowledge-base design.\nHands-on experience with vector databases such as Qdrant, Milvus, Pinecone, Weaviate, Chroma or OpenSearch.\nStrong prompt engineering skills, including structured outputs, few-shot prompting, prompt optimization, and context engineering.\nExperience with LLM evaluation, hallucination reduction, guardrails, AI observability, and production monitoring.\nExperience with LLM providers/models such as OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Llama, Mistral or equivalent.\nStrong Python programming skills with FastAPI, Pydantic, async programming, REST APIs, and API integration.\nWorking knowledge of SQL/NoSQL databases, preferably MySQL/PostgreSQL\nExperience with Docker and cloud-based AI deployment, preferably AWS.\nStrong understanding of Git, CI/CD, testing, debugging, logging, and production support. Cybersecurity - Preferred\nExperience building AI solutions for SOC, SIEM, EDR/XDR, vulnerability management, threat intelligence, incident response, or attack surface management.\nUnderstanding of CVE/CVSS, MITRE ATT&CK, threat intelligence, security alerts, vulnerabilities, and security operations workflows is highly desirable. Good to Have\nBasic understanding of JavaScript/TypeScript, React, and modern web application architecture.\nWorking knowledge of AWS services such as ECS/EKS, Lambda, S3, Bedrock, RDS, OpenSearch, and CloudWatch.\nExperience with MCP (Model Context Protocol) and modern agent/tool integration patterns.\nExposure to LoRA/PEFT, open-source LLMs, model serving, or inference optimization.\nRequirements What We Expect The successful candidate should be able to take an AI initiative from “business problem → AI approach → architecture → POC → production implementation → evaluation → deployment → monitoring” with minimal supervision. We are specifically looking for an engineer who can make architecture decisions, write production-quality code, integrate enterprise systems, troubleshoot independently, and continuously improve AI solutions-not someone limited to prompt writing or calling LLM APIs.\nEducation: B.Tech/B.E./M.Tech in Computer Science, AI/ML, Data Science, or related discipline.","description_format":"text","description_chars":5412,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Cybersecurity","Information Security"],"lifecycle":[{"event":"open","at":"2026-09-29T10:18:53Z"}],"visa":[],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.762,"p_room":0.9,"age_days":26,"expected_fill_days":42,"reasons":["conf:14","win:mid"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nopalcyber-senior-ai-engineer","json_url":"https://alion.io/job/nopalcyber-senior-ai-engineer.json","meta":{"generated_at":"2026-10-04T00:09:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":73,"day_limit":5000,"remaining_today":4927,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}