{"id":1293658,"url":"https://alion.io/job/qentelli-agentic-ai-engineer","title":"Agentic AI Engineer","company":{"id":1798376,"name":"Qentelli","domain":"qentelli.com","url":"https://alion.io/company/qentelli","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","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":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"FastAPI","optional":true},{"name":"GCP","optional":true},{"name":"Haystack","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubernetes","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true},{"name":"Neo4j","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"closed","first_seen_at":"2026-08-05T05:16:56Z","employer_posted_date":null,"last_verified_at":"2026-10-04T05:17:50Z","board_verified":false,"closed_at":"2026-10-04T05:17:50Z","days_open":60,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":60},"description":"Agentic AI Engineer\n\nJob Location : Hyderabad\n\nExperience : 5 to 10 Years\n\nNotice Period : Immediate to 15 Days\n\nMode of Work : 5 Days office\n\nShift Timings : General Shift\n\nMandatory Skills : GenAI, Agentic AI, RAG, LLM, ML\n\nJob Summary :\n\nWe are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents capable of autonomous reasoning, planning, decision-making, and task execution. The ideal candidate will have expertise in Large Language Models (LLMs), AI Agent Frameworks, Generative AI, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and AI Orchestration Platforms. The candidate will work closely with product, engineering, and business teams to build next-generation AI-powered applications that automate complex workflows, enhance user experiences, and drive operational efficiency.\n\nKey Responsibilities :\n\n- Design, develop, and deploy AI agents using modern Agentic AI frameworks.\n\n- Build autonomous and semi-autonomous AI systems capable of reasoning, planning, memory management, and tool execution.\n\n- Develop and optimize applications powered by LLMs such as GPT, Claude, Gemini, Llama, and Mistral.\n\n- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.\n\n- Build multi-agent architectures for complex workflow automation and decision-making.\n\n- Integrate AI agents with enterprise systems, APIs, databases, and cloud services.\n\n- Design prompt engineering strategies and agent orchestration workflows.\n\n- Develop monitoring, evaluation, and observability frameworks for AI agents.\n\n- Optimize AI model performance, accuracy, latency, and cost efficiency.\n\n- Ensure responsible AI practices, security, governance, and compliance standards.\n\n- Collaborate with Data Science, ML Engineering, Product, and DevOps teams throughout the development lifecycle.\n\nRequired Qualifications :\n\n- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.\n\n- 5+ years of software engineering experience, with at least 2+ years in Generative AI or AI Agent development.\n\n- Strong programming skills in Python.\n\n- Hands-on experience building production-grade AI-powered applications.\n\n- Strong understanding of LLM architectures, prompt engineering, and AI agent design patterns.\n\n- Experience with RAG, embeddings, vector databases, and semantic search.\n\n- Experience integrating AI models using APIs and open-source frameworks.\n\n- Knowledge of machine learning fundamentals and NLP concepts.\n\n- Experience deploying applications on cloud platforms.\n\nTechnical Skills :\n\nMandatory Skills :\n\n- Python\n\n- Generative AI\n\n- Agentic AI\n\n- Large Language Models (LLMs)\n\n- LangChain\n\n- LangGraph\n\n- CrewAI\n\n- AutoGen\n\n- OpenAI APIs / Azure OpenAI\n\n- Retrieval-Augmented Generation (RAG)\n\n- Prompt Engineering\n\n- Vector Databases\n\n- REST APIs\n\n- Git\n\n- Docker\n\n- CI/CD\n\nPreferred Skills :\n\n- Semantic Kernel\n\n- LlamaIndex\n\n- Haystack\n\n- Hugging Face\n\n- FastAPI\n\n- Kubernetes\n\n- Neo4j Graph Database\n\n- Apache Kafka\n\n- Cloud Technologies (AWS, Azure, GCP)\n\n- MLflow\n\n- Databricks\nSkills\nArtificial Intelligence, Agentic AI, LLM, Generative AI, RAG, Claude, Prompt Engineering, Python, NLP, LangChain, LangGraph","description_format":"text","description_chars":3270,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"},{"event":"expire","at":"2026-10-04T05:17:50Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/qentelli-agentic-ai-engineer","json_url":"https://alion.io/job/qentelli-agentic-ai-engineer.json","meta":{"generated_at":"2026-10-05T01:35:41Z","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":2099,"day_limit":5000,"remaining_today":2901,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}