Job Description

Job Title: Forward Deployed Engineer (FDE)

Job Type: Fulltime

Location: Remote (60% travel)

Job Summary

We are seeking a skilled Forward Deployed Engineer (FDE) to work closely with clients, business stakeholders, and engineering teams to design, build, deploy, and scale AI-powered solutions that solve real-world business problems.

The ideal candidate will combine strong software engineering skills with expertise in Python, SQL, Artificial Intelligence, Generative AI, Large Language Models (LLMs), and AI agent development. The candidate must be comfortable working directly with clients to understand business requirements, rapidly prototype solutions, integrate AI capabilities with enterprise systems, and deliver production-ready applications.

Key Responsibilities

• Work directly with clients and business stakeholders to identify business challenges and translate them into AI-driven technical solutions.

• Design, develop, and deploy AI-powered applications using Python, SQL, LLMs, and modern AI frameworks.

• Build and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG), intelligent assistants, chatbots, and AI agents.

• Develop AI agent workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent technologies.

• Integrate LLMs with enterprise databases, APIs, internal applications, and third-party systems.

• Design RAG pipelines involving document ingestion, chunking, embedding generation, semantic search, and retrieval optimization.

• Work with vector databases and vector search technologies to support enterprise knowledge retrieval.

• Develop data extraction, transformation, validation, and processing pipelines using Python and SQL.

• Implement prompt engineering, structured outputs, tool calling, and multi-step reasoning workflows.

• Evaluate AI solution quality, accuracy, latency, reliability, and cost; implement appropriate guardrails and evaluation frameworks.

• Build APIs and backend services to integrate AI models into enterprise applications.

• Rapidly prototype, test, and iterate on solutions based on client feedback.

• Deploy and monitor AI applications in cloud environments and production systems.

• Collaborate with data scientists, ML engineers, product managers, and client engineering teams to move solutions from proof of concept to production.

Required Skills and Qualifications

• Strong hands-on experience with Python programming and application development.

• Strong proficiency in SQL, including complex queries, joins, aggregations, data analysis, and database integration.

• Hands-on experience developing and deploying AI/ML or Generative AI applications.

• Experience working with LLMs such as OpenAI GPT models, Anthropic Claude, Google Gemini, or open-source LLMs.

• Strong understanding of prompt engineering, context management, structured outputs, and LLM application design.

• Experience building RAG-based applications using embeddings, vector search, and document retrieval.

• Familiarity with AI agent architectures, tool calling, function calling, and multi-step workflows.

• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent.

• Experience integrating REST APIs, databases, and enterprise applications.

• Understanding of relational databases and data processing technologies such as PostgreSQL, MySQL, SQL Server, or equivalent.

• Experience with Git, testing, debugging, and software development best practices.