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.

", "key_skills_required": "
- 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.
- Robust 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.

", "facebooklink": null, "twitterlink": null, "linkedinlink": null, "whatsuplink": null, "qrcodelink": null, "meta_title": "AI Specialist", "meta_description":

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Specialist (Kochi)
🏢 Beinex
📍 Kochi