| Request: |
Information Technology_IND - IND_Developer |
| Qty: |
1 |
| Candidate Submission Limit Per Supplier: |
3 |
| Candidate Submission Limit Per Request: |
0 |
| Desired Start Date: |
9/1/2026 |
| End Date: |
3/1/2027 |
| Hrs/Wk: |
45.00 |
| MSP Owner: |
Ashok Kumar, Srinidhi
|
| GBAMS Requisition ID: |
10930582 |
| Estimated Expense: |
Rs0.00 (Sum of Expense * Quantity of Candidates) |
|
| Job Description: |
Req ID-10930582
EXP- 6-8 years
Role Descriptions: Senior AI Engineer Agentic AI SolutionsRole SummaryWe are seeking a Senior AI Engineer with deep handson experience in designing| developing| and deploying Agentic AI solutions. The role focuses on building autonomous| multiagent systems that reason| plan| act| and learn across complex enterprise workflows. You will work closely with business| data| and platform teams to deliver scalable| secure| and productiongrade Agentic AI platforms and use cases.Key ResponsibilitiesAgentic AI GenAI DevelopmentDesign and build Agentic AI systems including planning| reasoning| task execution| memory| and feedback loopsDevelop multiagent architectures (task agents| reasoning agents| toolcalling agents| orchestration agents)Implement RAG| Knowledge Graph| and Memorybased AI patterns for enterprise use casesIntegrate LLMs with enterprise systems| APIs| tools| and workflowsArchitecture EngineeringDefine endtoend AI solution architecture from data ingestion to inference and observabilityBuild reusable AI services| agent frameworks| and orchestration layersEnsure scalability| resilience| performance| and security of AI solutionsCollaborate with cloud| data| and MLOps teams to productionize solutionsDefine agent evaluation metrics (accuracy| autonomy| cost| latency| safety)Embed Responsible AI guardrails including governance| explainability| auditability| and complianceStakeholder Collaboration LeadershipWork with product owners| domain SMEs| and architects to translate business problems into AI solutionsMentor junior engineers and contribute to AI engineering standards and best practicesSupport client discussions| solution walkthroughs| and technical decisionmakingRequired Skills ExperienceCore Technical SkillsStrong proficiency in Python (mandatory)Handson experience with Agentic AI frameworks (e.g.| LangGraph| LangChain| LlamaIndex| AutoGen| CrewAI or equivalent)Experience with LLMs (OpenAI| Azure OpenAI| Anthropic| opensource models)Expertise in RAG| embeddings| vector databases| and prompt engineeringExperience building multiagent orchestration| tool calling| and workflow automationData Platform SkillsExperience with vector databases (Pinecone| FAISS| Weaviate| Chroma| etc.)Knowledge of knowledge graphs| ontologies| and semantic searchCloud experience on Azure AWS GCPFamiliarity with APIs| microservices| eventdriven architecturesModel monitoring| evaluation| and cost optimizationExperience Qualifications812 years of overall software AI engineering experience3 years handson experience in GenAI and emerging Agentic AI systemsExperience delivering productiongrade AI solutions in enterprise environmentsBachelors or Masters degree in Computer Science| AI| Data Science| or related fieldNice to HaveExperience in regulated industries (pharma| healthcare| life sciences)Exposure to knowledge graphs| scientificRD workflows| or enter
Essential Skills: Senior AI Engineer Agentic AI SolutionsRole SummaryWe are seeking a Senior AI Engineer with deep handson experience in designing| developing| and deploying Agentic AI solutions. The role focuses on building autonomous| multiagent systems that reason| plan| act| and learn across complex enterprise workflows. You will work closely with business| data| and platform teams to deliver scalable| secure| and productiongrade Agentic AI platforms and use cases.Key ResponsibilitiesAgentic AI GenAI DevelopmentDesign and build Agentic AI systems including planning| reasoning| task execution| memory| and feedback loopsDevelop multiagent architectures (task agents| reasoning agents| toolcalling agents| orchestration agents)Implement RAG| Knowledge Graph| and Memorybased AI patterns for enterprise use casesIntegrate LLMs with enterprise systems| APIs| tools| and workflowsArchitecture EngineeringDefine endtoend AI solution architecture from data ingestion to inference and observabilityBuild reusable AI services| agent frameworks| and orchestration layersEnsure scalability| resilience| perform |
| Comments for Suppliers: |
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| Rate Card Class: |
IND_Developer |
| Category: |
Category 4 |
| Level: |
Level II |
| Bill Rate: |
Rs70,000.00 - Rs130,000.00 Monthly NOOT |
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