{"id":2597940,"url":"https://alion.io/job/hcltech-platform-engineer-ii-4","title":"Platform Engineer II","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Tool Use","optional":false},{"name":"A2A","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"C++","optional":true},{"name":"CrewAI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Google ADK","optional":true},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Node JS","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-15T07:43:30Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T16:44:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThe Agentic AI Engineer II supports the development, integration, and improvement of agentic AI components and workflows within defined solution areas. The role implements approved designs as reliable agents, orchestration flows, APIs, and integrations using large language models, enterprise data, and external tools. Working under the guidance of architects and senior engineers, and collaborating with data engineers and product teams, the engineer follows established patterns for testing, deployment, monitoring, security, and Responsible AI. The role primarily focuses on hands-on implementation, troubleshooting, documentation, and contribution to reusable delivery assets.\nKey Responsibilities\nDevelop, configure, and test agentic AI components using large language models and approved enterprise platforms.\nImplement prompt flows, retrieval, agent orchestration, tool use, memory, and model interaction patterns based on provided designs.\nDevelop and maintain APIs, pipelines, and integrations that connect agentic AI capabilities with products and business workflows.\nWork with data engineers to connect suitable datasets and knowledge sources for grounding and evaluation.\nFollow established Responsible AI, security, privacy, explainability, and data-governance controls.\nPerform functional testing and basic monitoring of model and agent performance; troubleshoot defects and implement agreed improvements.\nSupport CI/CD activities, operational documentation, reusable components, and production-support tasks.\nBuild familiarity with relevant agentic frameworks, LLM APIs, and open-source tools, and share implementation learnings with the team.\nSkill Requirements\nMust Have Skills:\nProficiency in Python.\nExperience designing and consuming REST APIs.\nHands-on experience with LLM APIs such as OpenAI, Gemini, or Anthropic.\nExperience with LangChain or LangGraph.\nPractical knowledge of prompt engineering.\nFoundational understanding of vector database concepts.\nWorking knowledge of Git and CI/CD fundamentals.\nFoundational understanding of NLP, LLM concepts, and data pipelines.\nGood debugging, analytical, and problem-solving skills.\nGood to Have Skills:\nExposure to CrewAI, Google Agent Development Kit (ADK), Model Context Protocol (MCP), Agent2Agent (A2A), or similar technologies.\nExperience with Vertex AI or comparable cloud AI platforms.\nExposure to PyTorch or TensorFlow.\nUnderstanding of model fine-tuning concepts.\nExperience with SQL, machine learning, big data, or additional database technologies.\nExposure to Azure, AWS, or GCP and MLOps tools for model deployment.\nWe can also break this down into Must Have & Good to Have skills to ensure focussed sourcing efforts for example:\nMust Have\nPython\nREST APIs\nLLM APIs (OpenAI/Gemini/Anthropic)\nLangChain or LangGraph\nPrompt Engineering\nVector DB concepts\nGit and CI/CD fundamentals\nGood to Have\nCrewAI\nADK\nMCP\nA2A\nVertex AI\nPyTorch/TensorFlow\nFine-tuning concepts\nOther Requirements\nEducation: bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Machine Learning or a related field.\nExperience: 2-5years of hands-on experience in software engineering, with at least 1year of exposure togenerative AI or LLM-based applications.\nAdept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure\nExperience with LLMs Understanding of good design principles and patterns\nSolid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack\nExcellent written and verbal communication skills.\n Fluent English is essential Strong analytical and problem-solving skills.\nDemonstrating a customer-focused attitude;\n Excellent communication skills (listening, presenting, writing, formal and informal)\nSelf-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly.\nStrong communication and interpersonal skills for effective collaboration with team members and 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