{"id":1217250,"url":"https://alion.io/job/weekday-gen-ai-engineer","title":"Gen AI Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":88,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-25T05:45:01Z"}},"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":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-09-25T10:24:36Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T00:41:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nMin Experience: 3+ years\nLocation: Bengaluru, pune\nJobType: full-time\nIn this role, you will transform cutting-edge Generative AI technologies into seamless, intelligent user experiences. You will design and deploy agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines, while ensuring smooth integration with responsive frontend interfaces.\nRequirements\nKey Responsibilities\nArchitect and implement Generative AI solutions leveraging LLMs such as GPT, Claude, and LLaMA to deliver intelligent, human-like interactions.\nDevelop and optimize RAG pipelines using vector databases (ChromaDB for local development and Data-bricks Mosaic ML Vector Stores) to enable efficient knowledge retrieval.\nBuild and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI, ensuring scalable and adaptive behavior.\nPerform vectorization and fine-tuning with models such as GTE-large and BGE to enhance accuracy and contextual relevance.\nCollaborate with backend and app teams to embed Generative AI capabilities into products, ensuring seamless integration and performance.\nRequired Skills & Experience\nStrong expertise in LLM s, prompt engineering, and transformer architectures, applying them to real-world applications.\nHands-on experience with RAG architectures, vector search, and embedding models to build intelligent retrieval systems.\nProficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face for rapid prototyping and deployment.\nFamiliarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph to design autonomous workflows.\nExperience in deploying AI models via APIs or microservices, ensuring scalability and reliability.\nPreferred Skills\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.\nPractical experience with cloud platforms (AWS, GCP, Azure) to deploy and scale AI solutions.\nKnowledge of CI/CD pipelines to automate testing, deployment, and monitoring of AI services.\nMust-have skills\nRetrieval Augmented Generation, LLM, Gen Ai\nGood-to-have skills\nagentic workflows, Python","description_format":"text","description_chars":2196,"description_truncated":false,"requirements":{"experience_years_min":null,"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":"2026-09-25T10:24:36Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:2","agency","win:early","comp:brand"],"computed_at":"2026-09-26T03:19:29Z"},"pay":null,"html_url":"https://alion.io/job/weekday-gen-ai-engineer","json_url":"https://alion.io/job/weekday-gen-ai-engineer.json","meta":{"generated_at":"2026-09-26T03:19:29Z","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":3549,"day_limit":5000,"remaining_today":1451,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}