{"id":1230584,"url":"https://alion.io/job/sunovaa-tech-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3800722,"name":"Sunovaa Tech","domain":"sunovaa.com","url":"https://alion.io/company/sunovaa-tech","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":99000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-18T05:06:59Z","employer_posted_date":null,"last_verified_at":"2026-09-18T05:06:59Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"Hiring : Senior AI Engineer / GenAI Full Stack Engineer\n\nExperience : 5-10 Years\n\nIndustry : Artificial Intelligence | Generative AI | Emerging Technologies\n\nEmployment Type : Full-Time\n\nAbout the Role : \n\nWe are seeking a highly skilled Senior AI Engineer / GenAI Full Stack Engineer to design, develop, and deploy enterprise-grade Generative AI applications. This role requires strong expertise in full-stack development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native architectures.\n\nThe ideal candidate will have hands-on experience building production-ready AI applications using React.js, Python, FastAPI, OpenAI, Claude, vector databases, and modern cloud technologies.\n\nKey Responsibilities : \n\n1. Full Stack AI Application Development : \n\n- Design, develop, and maintain scalable AI-powered web applications using React.js, Python, and FastAPI.\n\n- Build end-to-end AI products from concept to production deployment.\n\n- Develop highly responsive front-end interfaces for AI-enabled applications.\n\n- Create robust backend services and APIs to support AI workflows and integrations.\n\n2. Generative AI & LLM Engineering : \n\n- Build and deploy production-grade Generative AI solutions using OpenAI, Claude, Gemini, or similar Large Language Models.\n\n- Design prompt engineering strategies and optimize model performance.\n\n- Evaluate and integrate emerging AI technologies and frameworks.\n\n- Develop intelligent AI assistants, copilots, chatbots, and automation solutions.\n\n3. RAG (Retrieval-Augmented Generation) Systems : \n\n- Design and implement advanced RAG architectures for enterprise knowledge retrieval.\n\n- Build retrieval pipelines with optimized chunking, indexing, embedding generation, and ranking strategies.\n\n- Improve retrieval accuracy, relevance, and response quality.\n\n- Implement hybrid search and semantic search capabilities.\n\n4. Agentic AI & Autonomous Workflows : \n\n- Develop and manage agentic AI workflows and multi-agent systems.\n\n- Integrate external tools, APIs, and business systems with AI agents.\n\n- Design autonomous workflows for complex reasoning and task execution.\n\n- Build orchestration frameworks to support intelligent decision-making systems.\n\n5. Vector Databases & Knowledge Systems : \n\n- Implement vector search solutions using Pinecone, Qdrant, Weaviate, pgvector, or similar technologies.\n\n- Design scalable knowledge management and semantic retrieval systems.\n\n- Optimize indexing, retrieval speed, and query performance.\n\n6. Backend Engineering & API Development : \n\n- Develop scalable backend services using Python and FastAPI.\n\n- Build secure and performant RESTful APIs and AI service integrations.\n\n- Implement authentication, authorization, monitoring, and logging mechanisms.\n\n7. Cloud, DevOps & Deployment : \n\n- Deploy and maintain AI applications on AWS, Azure, or Google Cloud Platform.\n\n- Containerize applications using Docker and manage deployments using Kubernetes.\n\n- Implement CI/CD pipelines and infrastructure automation.\n\n- Monitor application performance, reliability, and scalability.\n\n8. Performance Optimization & Observability : \n\n- Optimize AI applications for latency, throughput, cost efficiency, and token utilization.\n\n- Implement observability, monitoring, tracing, and logging solutions.\n\n- Continuously improve model response quality and application performance.\n\n- Ensure production readiness and operational excellence.\n\n9. Collaboration & Innovation : \n\n- Collaborate with Product, Engineering, Data Science, and Business teams to deliver AI-driven solutions.\n\n- Participate in architecture discussions and technology decision-making.\n\n- Stay current with advancements in Generative AI, LLMs, and AI engineering best practices.\n\nRequired Candidate Profile : \n\n- Strong experience in Full Stack Development using React.js, Python, and FastAPI.\n\n- Hands-on experience building production-grade Generative AI applications.\n\n- Expertise in OpenAI, Claude, Gemini, Llama, or similar LLM platforms.\n\n- Strong knowledge of RAG architectures and semantic search systems.\n\n- Experience with vector databases such as Pinecone, Qdrant, Weaviate, ChromaDB, or pgvector.\n\n- Experience building agentic AI systems and AI workflow orchestration.\n\n- Strong understanding of API development and backend architecture.\n\n- Hands-on experience with Docker, Kubernetes, and cloud platforms.\n\n- Strong problem-solving and system design capabilities.\n\nMandatory Skills : \n\n- Generative AI (GenAI)\n\n- OpenAI / Claude / LLMs\n\n- React.js\n\n- Python\n\n- FastAPI\n\n- Retrieval-Augmented Generation (RAG)\n\n- Agentic AI\n\n- Multi-Agent Systems\n\n- Pinecone / Qdrant / Weaviate / pgvector\n\n- Docker\n\n- Kubernetes\n\n- AWS / Azure / GCP\n\n- API Development\n\n- Prompt Engineering\n\nPreferred Skills : \n\n- LangChain\n\n- LangGraph\n\n- LlamaIndex\n\n- MCP (Model Context Protocol)\n\n- AI Agent Frameworks\n\n- Vector Search Optimization\n\n- MLOps\n\n- AI Observability Platforms\n\n- CI/CD Automation\n\nKey Competencies : \n\n- AI Application Development\n\n- Full Stack Engineering\n\n- LLM Engineering\n\n- System Architecture\n\n- Cloud-Native Development\n\n- Problem Solving\n\n- Innovation & Research\n\n- Collaboration & Leadership\n\nWhy Join Us : \n\n- Opportunity to build cutting-edge Generative AI products at scale.\n\n- Work with the latest AI technologies, frameworks, and cloud platforms.\n\n- High-impact role driving innovation and business transformation.\n\n- Collaborative environment focused on AI-first product development.\nSkills\nGenerative AI, Artificial Intelligence, LLM, RAG, Python, FastAPI, Agentic AI, VectorDB, AWS, React.js, Full Stack","description_format":"text","description_chars":5624,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.759,"p_room":0.945,"age_days":9,"expected_fill_days":24,"reasons":["seen:9","velocity","win:mid"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sunovaa-tech-senior-ai-engineer","json_url":"https://alion.io/job/sunovaa-tech-senior-ai-engineer.json","meta":{"generated_at":"2026-09-28T05:42:51Z","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":3906,"day_limit":5000,"remaining_today":1094,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}