{"id":3575301,"url":"https://alion.io/job/recruitbots-ai-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":4481205,"name":"recruitbots ai","domain":"recruitbots.ai","url":"https://alion.io/company/recruitbots-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":10500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Anthropic","optional":true},{"name":"Chroma","optional":true},{"name":"Claude","optional":true},{"name":"DeepEval","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"FastAPI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Gemini","optional":true},{"name":"Hugging Face","optional":true},{"name":"Hybrid Search","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"Ragas","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-31T17:31:15Z","employer_posted_date":null,"last_verified_at":"2026-10-31T17:31:15Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Generative AI Engineer\nCompany: RecruitBots AI\nLocation: Remote · India\nExperience: 2–4 years\nType: Full-time\nSalary: 10–22 LPA\nHow to apply\nApply through LinkedIn Easy-Apply, then login to https://candidate.recruitbots.ai/utm_source=ge-a-r-i. More detailed instructions on onboarding.\nAbout the role\nWe are looking for a Generative AI Engineer with 2–4 years of experience in AI application development who is passionate about building intelligent applications using Large Language Models, foundation models, and modern Generative AI technologies.\nYou will work closely with our AI, engineering, and product teams to develop LLM-powered applications, implement retrieval and reasoning workflows, evaluate model performance, and deliver reliable AI solutions for real-world use cases.\nThe role provides exposure to RAG, AI agents, prompt engineering, LLM evaluation, semantic search, conversational AI, multimodal models, and production-grade Generative AI applications.\nResponsibilities\nDesign, develop, and deploy Generative AI applications using modern LLMs and AI frameworks.\nBuild LLM-powered applications for tasks such as information retrieval, content generation, summarization, and intelligent automation.\nDevelop RAG pipelines using document ingestion, chunking, embeddings, retrieval, and reranking techniques.\nBuild AI agents that use tools, interact with APIs, and execute multi-step workflows.\nDesign, test, and optimize prompts, system instructions, structured outputs, and tool-calling strategies.\nIntegrate foundation models and AI services into backend applications and business workflows.\nImplement context management, conversation memory, and knowledge retrieval where required.\nEvaluate LLM outputs for accuracy, relevance, groundedness, consistency, and task completion.\nInvestigate hallucinations, retrieval failures, prompt weaknesses, and unexpected model behavior.\nOptimize inference latency, token usage, response quality, and operational costs.\nImplement appropriate validation, guardrails, and fallback mechanisms to improve AI reliability.\nDevelop automated evaluation and testing workflows for Generative AI applications.\nCollaborate with product and engineering teams to translate use cases into practical AI solutions.\nSupport deployment, monitoring, troubleshooting, and continuous improvement of production AI applications.\nStay updated with developments in LLMs, agentic AI, retrieval techniques, and Generative AI frameworks.\nRequired Skills\nStrong programming skills in Python.\nPractical experience developing AI-powered applications using LLMs or Generative AI technologies.\nUnderstanding of LLM APIs, prompt engineering, and structured output generation.\nExperience working with REST APIs and integrating AI services into applications.\nKnowledge of embeddings, vector search, and Retrieval-Augmented Generation.\nUnderstanding of document processing, text chunking, retrieval strategies, and context management.\nFamiliarity with databases and data processing.\nUnderstanding of AI evaluation concepts, including response quality, latency, reliability, and cost.\nFamiliarity with Git, software testing, debugging, and version control.\nAbility to investigate model failures and improve application behavior systematically.\nStrong analytical and problem-solving skills.\nAbility to work collaboratively with AI, engineering, and product teams.\nGood to Have\nExperience with OpenAI, Anthropic Claude, Google Gemini, or open-source models available through Hugging Face.\nHands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.\nExperience building agentic workflows, tool-using agents, or multi-agent applications.\nFamiliarity with vector databases such as Pinecone, Qdrant, Weaviate, FAISS, or Chroma.\nExperience with reranking models, hybrid search, and advanced retrieval techniques.\nExposure to fine-tuning, model adaptation, or parameter-efficient fine-tuning techniques.\nFamiliarity with evaluation frameworks such as Ragas, DeepEval, or similar tools.\nExperience developing conversational AI, chatbots, or multimodal AI applications.\nKnowledge of FastAPI, Docker, and cloud deployment platforms.\nFamiliarity with LLM observability, tracing, monitoring, and cost optimization.\nExperience deploying and maintaining Generative AI applications in production.\nEducation\nBachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field.\nCandidates with 2–4 years of relevant software or AI development experience and hands-on Generative AI projects are encouraged to apply.\nWhat We're Looking For\nStrong programming fundamentals and practical experience building LLM-powered applications.\nGenuine interest in exploring Generative AI techniques and emerging model capabilities.\nAbility to turn experimental AI concepts into reliable, useful applications.\nA systematic approach to prompt testing, retrieval evaluation, and model output analysis.\nUnderstanding of the trade-offs between model quality, latency, cost, and reliability.\nAbility to debug complex AI workflows and improve application performance.\nWillingness to experiment with different models, frameworks, and architectural approaches.\nStrong communication and collaboration skills.\nA focus on delivering practical AI solutions rather than relying solely on prototypes.\nHands-on Generative AI projects and demonstrated implementation skills are highly valued.","description_format":"text","description_chars":5437,"description_truncated":false,"requirements":{"experience_years_min":2,"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":"2026-10-31T20:09:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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