Forward deployment engineer– AI / GenAI

Job Description: – AI / GenAIExperience: 4+ Years (Preferred: 4–7 Years)

Location: Gurugram, Haryana

Work Mode: Onsite

Employment Type: Full-Time

About the RoleWe are looking for a skilled Forward Deployment Engineer (FDE) – AI / GenAI to work at the intersection of software engineering, artificial intelligence, product development, and customer requirements.

The ideal candidate will have hands-on experience developing, integrating, and deploying AI/GenAI solutions, including LLMs, RAG pipelines, and Agentic AI applications. The candidate should be capable of translating complex or ambiguous business requirements into practical, production-ready technical solutions.

This role involves end-to-end solution development, from understanding business problems and building prototypes to integrating systems, deploying solutions, and continuously improving performance.

Key Responsibilities

• Collaborate with customers, product teams, and engineering teams to understand business requirements and technical challenges.
• Translate customer requirements into AI-powered applications, tools, and automated workflows.
• Build rapid Proofs of Concept (POCs) and prototypes, iterating based on feedback.
• Develop and deploy AI/GenAI solutions using LLMs, RAG, and Agentic AI.
• Build AI agents and workflows using frameworks such as LangChain and LangGraph.
• Implement RAG pipelines, embeddings, vector databases, memory, context engineering, and tool/function calling.
• Develop backend services and REST APIs using Python, FastAPI, or similar technologies.
• Integrate AI solutions with third-party APIs, databases, SaaS platforms, and enterprise systems.
• Troubleshoot deployment and production issues and ensure solution reliability.
• Collaborate with engineering teams to transition successful prototypes into scalable production solutions.
• Optimize AI applications for accuracy, latency, scalability, reliability, and cost.
• Participate in customer discussions, technical demonstrations, solution workshops, and deployment activities.
• Maintain technical documentation covering integrations, workflows, architecture, and deployment processes.Required Skills & Qualifications
• 4+ years of experience in Software Engineering, AI Engineering, GenAI Engineering, Solutions Engineering, or a related role.
• Strong programming skills in Python or another backend programming language.
• Hands-on experience building and deploying AI/GenAI applications.
• Good understanding of:
• Large Language Models (LLMs) and Generative AI
• Retrieval-Augmented Generation (RAG)
• AI agents and agentic workflows
• Prompt engineering and context engineering
• Tool/function calling
• REST APIs and third-party integrations
• Experience integrating applications with external APIs, databases, and enterprise systems.
• Strong debugging, analytical, and problem-solving skills.
• Ability to work independently, handle ambiguous requirements, and deliver practical solutions.
• Strong communication and stakeholder-management skills.
• Willingness to work onsite in Gurugram and collaborate directly with customers and internal teams.Good to Have
• Hands-on experience with LangChain and LangGraph.
• Experience with vector databases such as Pinecone, Qdrant, Weaviate, or pgvector.
• Familiarity with FastAPI and databases such as PostgreSQL, MongoDB, or Redis.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker and containerized deployments.
• Understanding of MCP (Model Context Protocol) and multi-agent systems.
• Exposure to Voice AI, Conversational AI, Speech-to-Text (STT), and Text-to-Speech (TTS).
• Familiarity with AI evaluation, monitoring, observability, and performance optimization.Ideal Candidate ProfileThe ideal candidate is a hands-on engineer who can understand customer problems, rapidly build AI-powered solutions, integrate them into existing systems, and support their deployment in real-world environments. The candidate should combine strong technical execution with customer-facing communication and a solution-oriented mindset.

Keywords: Forward Deployment Engineer, FDE, AI Engineer, GenAI Engineer, LLM, RAG, Agentic AI, LangChain, LangGraph, Python, FastAPI, API Integration, AI Agents, MCP.