Sr Analyst(AI Solution )

AI Solution Developer

Summary

We are seeking a highly skilled AI Solution Developers with deep expertise in Foundation Models and Large Language Models (LLMs). The ideal candidate will have hands-on experience building, fine-tuning, evaluating, and deploying modern AI systems, including Retrieval-Augmented Generation (RAG) architectures and production-grade AI applications.

This role requires strong full-stack development capabilities combined with advanced AI knowledge to design scalable, secure, and high-performance AI-powered systems.

Key Responsibilities

• Design, develop, and deploy applications leveraging foundation models and LLMs (e.g., GPT-class models, open-source LLMs).

• Architect and implement Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.

• Fine-tune, evaluate, and optimize models for performance, cost, latency, and quality.

• Trained the model

• Setup Best practice and guardrail

• Develop prompt engineering strategies and build prompt pipelines.

• Build and maintain APIs and backend services for AI-driven applications.

• Implement guardrails, safety layers, and evaluation frameworks for AI systems.

• Work with structured and unstructured data pipelines.

• Collaborate with product, data, and engineering teams to integrate AI capabilities into products.

• Monitor, troubleshoot, and improve deployed AI systems in production.

• Run test cases on developed solutions.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (or equivalent experience).

• Experience: 4+ years in application/web development and creating advanced AI solutions and 2+ years working directly with LLM-based systems.

• Technical Skills:

• Experience with RAG, embeddings, semantic search, and vector databases

• Model fine-tuning techniques

• Experience with evaluation frameworks and model benchmarking.

• Knowledge of AI safety, alignment, and hallucination mitigation strategies.

• Strong proficiency in Python (required).

• Solid knowledge of SQL/NoSQL/PostgreSQL/MongoDB database design.

• Frontend skills: HTML, CSS, JavaScript (modern frameworks like React, Next.js preferred).

• Experience building RESTful APIs (FastAPI, Flask, Django).

• Experience with asynchronous programming and microservices architecture.

• Experience with vector databases.

• Cloud platforms (AWS, GCP, or Azure).

• CI/CD pipelines and DevOps practices.

• Soft Skills: Strong analytical mindset, eagerness to adopt emerging technologies, excellent communication, and the ability to work collaboratively in a fast-paced operations environment.

What Makes an Exceptional Candidate

• Has built end-to-end LLM products from concept to deployment.

• Understands trade-offs between open-source and hosted model APIs.

• Thinks in systems: latency, cost optimization, scalability.

• Strong problem-solving and experimentation mindset.

• Stays current with rapidly evolving AI research and tooling.

• Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.