Location: Gota, Ahmedabad (Work from Office)

Experience: 35 Years

Employment Type: Full-Time

Education required: Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field.(Must be completed)

Role Objective:

Design, develop, deploy, and optimize end-to-end AI solutions that solve real business challenges while ensuring scalable, high-quality, and production-ready outcomes.

Key Responsibilities:

- AI/ML Fundamentals: Strong understanding of Machine Learning, Deep Learning, and Generative AI concepts.
- Programming: Proficiency in Python with experience in FastAPI, Flask, and REST API development.
- Large Language Models (LLMs): Hands-on experience with OpenAI, Gemini, Claude, Llama, or similar models.
- Prompt Engineering RAG: Experience in designing prompts and building Retrieval-Augmented Generation (RAG) applications.
- AI Agents Automation: Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, or similar.
- Backend Development: Experience in developing scalable APIs and integrating AI solutions with enterprise applications.
- Databases: Familiarity with SQL, NoSQL, and Vector Databases such as Pinecone, ChromaDB, Qdrant, or Weaviate.
- Cloud Deployment: Understanding of Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Solution Architecture: Ability to design scalable, secure, and production-ready AI systems.
- Client Management: Robust communication skills with the ability to confidently interact with global clients, gather requirements, and present technical solutions.
- English Communication: Excellent verbal and written English communication skills.
- Project Management: Ability to manage multiple client projects simultaneously while maintaining quality and meeting deadlines.




- Multitasking Ownership: Strong multitasking abilities with a proactive, self-driven, and ownership-oriented mindset.
- Problem Solving: Excellent analytical thinking, debugging, and performance optimization skills.
- Team Collaboration: Ability to work effectively with cross-functional teams in a fast-paced environment.
- Continuous Learning: Passion for emerging AI technologies and staying updated with the latest industry advancements

Roles Responsibilities:

- Understand client business challenges and translate them into AI solutions.
- Design end-to-end AI/ML system architectures.
- Build and deploy AI applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
- Develop scalable backend services using Python and FastAPI/Flask.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Build AI agents and workflow automation using modern AI frameworks.
- Integrate AI models with enterprise applications, APIs, and databases.
- Optimize prompts, model performance, latency, and operational cost.
- Deploy AI applications on cloud platforms using Docker and Kubernetes.
- Monitor production systems and continuously improve reliability and performance.
- Collaborate with Product, Engineering, and Customer Success teams to ensure successful project delivery.
- Troubleshoot production issues and provide technical support during client implementations.
- Stay updated with the latest advancements in AI, LLMs, and emerging technologies.

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Forward - Deployed Engineer (Ahmedabad)
🏢 Neura Monks
📍 Ahmedabad