{"id":2418819,"url":"https://alion.io/job/cai-senior-agentic-ai-developer","title":"Senior Agentic AI Developer","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"BERT","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"CNN","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"Prefect","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Self-Healing","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-13T05:17:54Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Senior Agentic AI DeveloperReq number:\nR8521Employment type:\nFull timeWorksite flexibility:\nHybridWho we are\nCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.\nJob Summary\nWe are looking for a motivated Senior Agentic AI Developer ready to take us to the next level! If you have experience in designing, developing, and deploying state-of-the-art agentic systems, automation solutions, and generative AI applications to enable autonomous decision-making and optimize business processes and are looking for your next career move, apply now.Job Description\nWe are looking for a Senior Agentic AI Developer to design cutting-edge AI solutions and autonomous systems focused on agentic workflows and generative AI technologies. This position will be full-time and Hybrid Bengaluru.\nWhat You’ll Do\nDesign, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar\nBuild intelligent workflow orchestration systems that enable autonomous decision-making and task execution\nImplement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration\nDevelop automation solutions using OpenAPI standards for integration with enterprise systems\nCreate self-healing, adaptive workflows that optimize business processes autonomously\nUse ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions\nDefine and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source models\nDrive successful business outcomes by designing and building cloud-hosted Generative AI solutions\nWork closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications\nDesign and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs\nWork with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems\nEvaluate, build, and fine-tune ML models and LLMs to solve complex business problems\nStay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies\nWhat You'll Need\nRequired:\n8-12 years of overall technical experience with 4 years of hands-on experience in Generative AI and LLM technologies\n3+ years of experience building agentic systems, workflow automation, or autonomous AI applications\nDeep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar)\nStrong knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar)\nExpertise in OpenAPI standards, Agent-to-Agent (A2A) protocols, and Model Context Protocol (MCP)\nExperience designing multi-agent architectures with memory, planning, and tool-use capabilities\nKnowledge of agent evaluation, testing frameworks, and observability patterns\nProven track record of deploying and optimizing LLM models for inference in production environments\nExtensive experience with LLM orchestration frameworks (LangChain, LlamaIndex required)\nHands-on experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms\nExpertise in RAG architectures, Fine-tuning techniques, and Prompt Engineering\nDeep understanding of Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge Graphs\nExpert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5)\nProficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn\nStrong programming skills in Python (required), plus JavaScript/TypeScript or Node.js\nDeep understanding of data structures, algorithms, and system design patterns\nHands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and serving\nExperience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systems\nKnowledge of monitoring, logging, and observability tools for production AI systems\nPreferred:\nExperience with function calling, tool use, and external API integration in agent systems\nKnowledge of reinforcement learning and agent training methodologies\nFamiliarity with semantic reasoning, planning algorithms (ReAct, Chain-of-Thought, Tree-of-Thoughts)\nExperience with graph databases (Neo4j, Neptune) and ontology design\nContributions to open-source AI/ML projects\nPublications or patents in AI/ML domain\nPhysical Demands\nAbility to safely and successfully perform the essential job functions\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\nReasonable accommodation statement\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to  (888) 824 - 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