AI Specialist
Beinex · Kochi · onsite · Posted 35d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
LLM Solution Design & Development
- Architect and deliver production-ready LLM applications - conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.
- Build multi-agent systems using LangGraph, AutoGen, or CrewAI; apply prompt engineering techniques to optimise model performance.
- Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.
Model Fine-Tuning & Optimisation
- Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models (OpenAI, Mistral, LLaMA, Gemini) for specific use cases.
- Optimise for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.
Agentic AI & Workflow Automation
- Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.
- Build AI-driven automation pipelines across structured and unstructured enterprise data sources.
Vector Databases & Knowledge Infrastructure
- Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, pgvector) with semantic and hybrid search strategies.
- Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.
Technical Leadership & Mentoring
- Guide and review work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.
- Lead client workshops, technical discovery sessions, and PoC demonstrations; produce clear solution design documentation.
Trend Monitoring & Innovation
- Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.
- Contribute to Beinex thought leadership through internal sessions, write-ups, or external blogs and talks.
- 5+ years of professional experience in AI engineering, machine learning, or applied NLP roles - with at least 2 years focused on LLMs and Generative AI.
- Strong Python proficiency; fluent with libraries and frameworks including Hugging Face Transformers, LangChain, LangGraph, FastAPI, and PyTorch.
- Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic system development.
- Hands-on experience with vector databases (Pinecone, Weaviate, Qdrant, FAISS, or pgvector) and embedding models.
- Proven ability to deploy and productionise AI solutions in cloud environments (AWS, Azure, or GCP) using containerisation (Docker, Kubernetes).
- Experience integrating AI solutions with enterprise platforms via APIs, webhooks, or event-driven architectures.
- Strong understanding of responsible AI principles including hallucination mitigation, output evaluation, content safety, and model governance.
- Ability to communicate complex technical concepts clearly to both technical peers and non-technical business stakeholders.
- Track record of independently owning AI projects from scoping through to production delivery.
Preferred Certifications:
- AWS Certified Machine Learning - Specialty, or equivalent cloud AI/ML certification (Azure AI Engineer, GCP Professional ML Engineer).
- Deep Learning Specialization
- LLM Engineering or Generative AI certifications from recognised platforms (Hugging Face, DeepLearning.AI, Databricks).
- Certified Kubernetes Application Developer (CKAD) - advantageous for deployment-focused candidates.
We are looking for an experienced AI Specialist to independently design, build, and deploy production-grade AI and GenAI solutions across diverse enterprise engagements. With 5+ years of hands-on AI engineering experience, you will own the end-to-end development of LLM-powered applications, agentic systems, and RAG pipelines -while mentoring junior team members and actively shaping the AI practice at Beinex.
This role goes beyond implementation: you will evaluate emerging AI technologies, contribute to solution architecture decisions, lead client-facing technical discussions, and drive innovation across the full AI engineering lifecycle.
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Skills
AutomationDockerCrewaiAzure Aiapplication developerapiscloud aienterprise systemsgoogle cloud platformamazon web servicesai technologiesFAISSgeminideploymentDatabrickscloudArchitectureDeep LearningBlogsAWS CertifiedAi SolutionsMicrosoft AzureArtificial Intelligence
About Beinex
Beinex
Accounting & Auditing
51
employees
2017
9 years old
Dubai, Dubai
AE
₹5.6L PA avg
Avg at Beinex
About
Beinex is a multinational firm exploring the endless possibilities of data for Cloud, Analytics, Artificial Intelligence, Machine Learning, and Automation.
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Accounting & AuditingIT Services & Consulting
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