{"id":1298274,"url":"https://alion.io/job/workplace-ai-engineer","title":"AI Engineer","company":{"id":3800361,"name":"Workplace","domain":"workplace-jobs.in","url":"https://alion.io/company/workplace-4","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CrewAI","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LoRA","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true},{"name":"Transformers","optional":true}],"status":"closed","first_seen_at":"2026-08-04T06:38:06Z","employer_posted_date":null,"last_verified_at":"2026-10-03T06:38:38Z","board_verified":false,"closed_at":"2026-10-03T06:38:38Z","days_open":60,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":60},"description":"Job Title : AI Engineer\n\nExperience : 310 Years\n\nLocation : Bengaluru | Hyderabad | Chennai | Pune | Mumbai | Gurugram | Noida\n\nWork Mode : Work From Office (WFO)\n\nNotice Period : Immediate Joiners Preferred\n\nAbout the Role : \n\nWe are looking for passionate AI Engineers with hands-on experience in building AI-powered applications using Large Language Models (LLMs), Generative AI frameworks, and modern backend technologies. The ideal candidate should have strong Python development skills and experience building scalable AI solutions using RAG, vector databases, and prompt engineering techniques.\n\nKey Responsibilities : \n\n- Design, develop, and deploy AI-powered applications using Python.\n\n- Build and integrate REST APIs using FastAPI or Flask.\n\n- Develop LLM-based applications using OpenAI GPT, Claude, Gemini, Llama, or similar models.\n\n- Implement Retrieval-Augmented Generation (RAG) pipelines.\n\n- Work with vector databases such as Pinecone, Weaviate, or pgvector.\n\n- Build intelligent workflows using LangChain and LangGraph.\n\n- Write clean, scalable, and maintainable code following best practices.\n\n- Collaborate with cross-functional teams to design AI-driven solutions.\n\n- Deploy and manage applications using Docker and cloud platforms.\n\nMandatory Skills : \n\n- Python, SQL, FastAPI / Flask, REST APIs, Git, Docker, OpenAI GPT / Claude / Gemini / Llama, Prompt Engineering, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone, Weaviate, pgvector), Embeddings, Large Language Models (LLMs), API Development, Cloud Computing, Strong Problem-Solving Skills.\n\nGood to Have : \n\n- CrewAI, AutoGen, LlamaIndex, Kubernetes, Redis, Kafka, Terraform, AWS / Microsoft Azure / GCP, CI/CD, Monitoring & Observability, Model Context Protocol (MCP), Function Calling, LoRA, PEFT, Agentic AI.\n\nEducational Qualification : \n\n- B.E./B.Tech\n\n- M.Tech\n\n- MCA\n\n- M.Sc. (Computer Science, Information Technology, Artificial Intelligence, Data Science)\n\n- Or equivalent practical experience.\nSkills\nArtificial Intelligence, LLM, Python, RAG, OpenAI, GPT, LangChain, LangGraph, Prompt Engineering, Kafka","description_format":"text","description_chars":2133,"description_truncated":false,"requirements":{"experience_years_min":3,"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":"2026-09-26T10:00:06Z"},{"event":"expire","at":"2026-10-03T06:38:38Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/workplace-ai-engineer","json_url":"https://alion.io/job/workplace-ai-engineer.json","meta":{"generated_at":"2026-10-05T01:50:55Z","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":2427,"day_limit":5000,"remaining_today":2573,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}