Forward - Deployed Engineer

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: Strong 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.

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