Hiring: Senior AI / GenAI Engineer (AI-DLC)

? Work Model: Onsite

? Experience: 8+ Years Overall | 3+ Years AI/ML | 1+ Year GenAI/LLM

We are looking for a Senior AI / GenAI Engineer to design, build, and deploy production-grade GenAI and Agentic AI solutions within a regulated financial services environment.

The ideal candidate combines strong engineering fundamentals with hands-on expertise in LLMs, RAG, AI agents, and AI-Driven Development Life Cycle (AI-DLC) .

? Key Responsibilities

- Develop and deploy LLM-powered applications, RAG pipelines, and multi-agent workflows.
- Apply AI-DLC across requirements, design, coding, testing, documentation, and deployment using AI-assisted SDLC practices.
- Build reusable AI frameworks for document processing, extraction, validation, and knowledge retrieval.
- Develop agentic solutions using LangChain, LangGraph, and equivalent frameworks.
- Implement prompt engineering, context optimization, LLM evaluation, feedback loops, and quality improvement.
- Establish LLMOps practices covering monitoring, observability, cost tracking, versioning, experiment tracking, and CI/CD.
- Integrate AI services with enterprise platforms using APIs and microservices.
- Ensure security, privacy, responsible AI, governance, model risk management, and human-in-the-loop controls.
- Collaborate with cross-functional teams and mentor junior engineers.

? Required Skills
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong Python, SQL, REST API, and microservices development experience.
- Production experience with GenAI/LLMs, RAG, prompt engineering, knowledge bases, and AI agents.




- Hands-on experience with AI-DLC / AI-assisted SDLC and AI tools for development and delivery.
- LangChain, LangGraph, or equivalent orchestration frameworks.
- Vector databases and search: MongoDB Atlas Vector Search, Elasticsearch, or similar.
- AWS / Azure, Docker, Kubernetes (EKS/AKS), and CI/CD.
- ML/NLP fundamentals: transformers, embeddings, semantic search, and model evaluation.
- MLflow / Weights & Biases, Git, and experiment tracking.
- Robust communication and cross-functional collaboration skills.

? Preferred Skills
- Banking, financial services, fintech, KYC/AML, or compliance automation experience.
- Document AI, identity verification, and enterprise vendor integrations.
- AI governance, guardrails, model risk management, and human-in-the-loop controls.
- RLHF or feedback-driven model optimization.
- AWS / Azure certifications and technical leadership experience.

? Technology Stack Python | SQL | OpenAI / Azure OpenAI | LangChain | LangGraph | RAG | Agentic AI | Vector DBs | MongoDB | Elasticsearch | AWS | Azure | Docker | Kubernetes | CI/CD | JFrog | MLflow | W&B; | GitHub | Bitbucket | Jira | Confluence

? Ideal Candidate

Senior hands-on AI engineers, technical leads, and AI architects who still code and have experience taking GenAI solutions from concept to production in enterprise environments.

? Interested candidates: Share your updated resume highlighting production GenAI, RAG, Agentic AI, and AI-DLC experience.

#Hiring #AIEngineer #GenAI #LLM #AgenticAI #RAG #Python #LangChain #LangGraph #AIDLC #LLMOps #MLOps #AWS #Azure #FinancialServices

📌 AI/Gen AI Engineer (Noida)
🏢 Jobility Talent Solutions
📍 Noida