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Experience
8 - 15 Years
Job Location
Education
Bachelor of Technology/Engineering(Computers), Master of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Designing and building Generative AI applications using Large Language Models (LLMs) · Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems · Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks · Implementing RAG architecture with vector databases · Knowledge of embeddings, vector DBs, and model evaluation. · Implement various Context Engineering strategies to reduce Token Utilization & Latency. · Prompt engineering, tool calling, memory management, and agent orchestration · Integrating AI services with enterprise APIs, middle ware, and backend systems · Evaluated & Improvise AI Agent Performance using several metrics · Deploying scalable AI solutions on Azure / AWS cloud platforms
Desired Candidate Profile
Technical — Essential
5+ years Python development; 2+ years in production AI/ML engineering
Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery
LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration
Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance
RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification
Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration
Workflow orchestration: Orkes Conductor or Temporal — HITL wait tasks, retry policies, compensating transactions
CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion
Technical — Advantageous
Computer vision model deployment and evaluation (object detection — TPR/TNR/IoU)
Azure AI Document Intelligence: form recogniser, custom models, layout analysis
Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling
Apache Iceberg, DuckDB, and data contract patterns
Banking domain knowledge: cheque clearing, trade finance, KYC, AML
Qualifications
Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred
Azure AI Engineer Associate or equivalent certification
Demonstrable production AI deployments — case studies or public work highly valued
Employment Type
- Full Time
Company Industry
- Recruitment
- Placement Firm
- Executive Search
Department / Functional Area
- Engineering
Keywords
- AI Agent Specialist
- Reinforcement Learning
- Agent Architectures
- AI Technical Lead
- AI Software Engineer Expert
- Machine Learning
Dicetek LLC
Dicetek is a global IT Solutions and Services Company established in 2006 with its corporate headquarters in Singapore. We continue to expand our global network while providing value-added cost-effective consulting services to our clients. DICETEK has operational offices in India, UAE, Singapore & USA. As a world-class company with a regional focus, we primarily concentrate on providing Information Technology Solutions and Professional Consulting Services, across different verticals like Banking & Financial Services, Telecom, Government, Oil & Gas, Logistics, Supply Chain, Real Estate & Manufacturing. We have a solid reputation in the technology industry for providing excellent services to our clients. Our values are represented by our integrity, thought leadership, and commitment to maintaining a high-level of excellence in the constantly evolving world of Information Technology.
Read MoreRizwana Ashfaq Ashfaq - Manager- Talent Acquisition
Office No. 307 - 3rd Floor, New Century Tower, Port Saeed Road,Opp. Deira City Centre, Dubai - United Arab Emirates., Dubai, United Arab Emirates (UAE)