{"id":3568849,"url":"https://alion.io/job/a21-ai-senior-artificial-intelligence-engineer","title":"Senior Artificial Intelligence Engineer","company":{"id":4491494,"name":"a21.ai","domain":"a21.ai","url":"https://alion.io/company/a21-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":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Weaviate","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-30T17:19:10Z","employer_posted_date":null,"last_verified_at":"2026-10-30T17:19:10Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Position: Sr. AI Engineer\nLocation: New Delhi, India\nCompany: a21.ai\nJob Type: Full-time\nExperience Required: 2-5 years with exposure to production level AI deployment\nAbout a21.ai\na21.ai is at the forefront of AI innovation, helping companies build bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to grow, we are seeking talented and enthusiastic fresh graduates to join our AI engineering team and contribute to cutting-edge artificial intelligence projects.\nJob Summary\nWe are looking for passionate candidates with 2-5 years of experience who are excited about artificial intelligence and machine learning. The ideal candidate should have a strong background in building agentic AI systems, RAG pipelines, and implementing vector search solutions that solve real business problems at scale.\nThis is a hands-on client facing role with exposure to cutting-edge models, orchestration frameworks, and enterprise-scale deployments. You will work alongside experienced AI engineers and data scientists to develop, deploy, and optimize AI models and solutions that solve real-world business problems.\n\nKey Responsibilities\nDesign and implement multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration.\nBuild and optimize RAG pipelines with vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS).\nEngineer context injection and retrieval infra for domain-specific GenAI solutions.\nCollaborate with Data Engineers on embedding stores and unstructured data ingestion pipelines.\nDeploy solutions across cloud and on-prem environments, ensuring security, latency, and scalability.\nWork on client-facing projects, translating business problems into technical architectures.\nStay updated with the latest AI research papers and industry trends\n\nTechnical Skills\nStrong programming in Python with hands-on experience in transformer libraries (Hugging Face, OpenAI, Anthropic, Llama).\nExperience with LangChain/LangGraph or similar orchestration frameworks.\nHands-on expertise with Vector DBs and embedding pipelines.\nExperience in scaling VectorDBs and building robust RAG pipelines for enterprise deployments\nExperience of running evaluations and building Agents with memory\nExperience with containerization & orchestration (Docker, Kubernetes).\nAbility to design solutions that are cloud-agnostic and on-prem deployable.\nExperience with evaluations, observability, and monitoring for LLM applications.\nExperience with version control systems (Git)\n\nSoft Skills\nStrong analytical thinking and problem-solving abilities\nEagerness to learn and adapt to rapidly evolving AI technologies\nExcellent communication skills to explain complex AI concepts to diverse stakeholders\nCollaborative mindset and ability to work in cross-functional teams\nCuriosity about AI research and willingness to experiment with new approaches\nAttention to detail and systematic approach to experimentation\n\nPreferred Skills (Good to Have - Not Mandatory)\nPrior work with fine-tuning or domain adaptation.\nExposure to multi-agent systems and reinforcement learning concepts.\nExposure to automatic prompt optimization based on user feedback\nExperience integrating AI into enterprise workflows/CRMs/ERPs.\nBasic understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services\nKnowledge of containerization technologies (Docker)\nParticipation in ML competitions (Kaggle, hackathons) or research publications\nUnderstanding of MLOps concepts and tools\n\nWhat We Offer\n\nLearning & Growth\nComprehensive training on LLMs, GenAI, and production ML systems\nResearch opportunities to work on cutting-edge AI projects and potentially publish papers\nConference and workshop attendance to stay current with AI advancements\nLearning budget for AI/ML courses, certifications, and webinars \n\nTechnical Environment\nState-of-the-art AI tools and development environments\nCollaborative research culture with opportunities to contribute to open-source projects\nDirect exposure to enterprise AI deployment challenges and solutions\n\nWork Environment\n· Startup culture with direct access to AI research leaders and industry experts\n· Cross-functional collaboration with product, engineering, and business teams\n· Regular tech talks and knowledge sharing sessions\n\na21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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