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.

Experience
1-3 yrs