Forward Deployed Engineer

Responsibilities:

• Work directly with customers to understand business processes, pain points, and technical requirements.
• Design and develop custom AI-powered applications and workflows.
• Build scalable backend services using Python.
• Develop modern front-end interfaces using React.js .
• Integrate third-party APIs, enterprise systems, and data sources.
• Deploy and customise AI solutions based on Large Language Models (LLMs).
• Create, evaluate, and optimise prompts for business use cases.
• Build conversational AI systems, copilots, knowledge assistants, and intelligent automation workflows.
• Collaborate with Product, Engineering, and Customer Success teams to deliver solutions quickly.
• Troubleshoot customer issues and provide technical guidance during implementations.
• Participate in client meetings, solution workshops, and technical discussions.
• Document solutions, integrations, and implementation approaches.

Requirements for the job include the following:

Software Engineering;

• Strong proficiency in Python.
• Experience with FastAPI, Flask, or Django.
• Experience building and consuming REST APIs.
• Good understanding of software architecture and design principles.
• Knowledge of SQL and database design.

Frontend Development:

• Hands-on experience with React.js .
• Strong knowledge of JavaScript, HTML, and CSS.
• Experience integrating frontend applications with backend services.

AI and LLM Technologies:

• Experience working on AI, Generative AI, or LLM-based projects.
• Understanding of Prompt Engineering techniques.
• Experience with OpenAI, Gemini, Claude, Llama, or similar models.
• Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent frameworks.
• Understanding of Retrieval-Augmented Generation (RAG).
• Experience building AI assistants, chatbots, or workflow automation systems.

Customer-Facing Skills:

• Strong communication and presentation skills.
• Ability to gather requirements and translate business needs into technical solutions.
• Experience working directly with stakeholders and customers.
• Strong problem-solving and analytical thinking abilities.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• 1-3 years of software development experience.
• Experience in customer-facing engineering, solutions engineering, implementation consulting, or technical consulting roles.
• Exposure to enterprise software integrations.

Nice to Have:

• Experience with Docker and containerization.
• Familiarity with AWS, Azure, or GCP.
• Knowledge of CI/CD pipelines.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
• Understanding of AI Agents and multi-agent architectures.
• Exposure to data pipelines and workflow orchestration tools.

What Success Looks Like:

• Ability to understand customer challenges quickly.
• Deliver AI-powered solutions with minimal supervision.
• Build reliable, scalable applications that create measurable business impact.
• Act as the bridge between customers, product teams, and engineering teams.
• Drive successful deployment and adoption of AI solutions.