Forward-Deployed AI Engineer

We are looking for a highly skilled Generative AI / AI Agent Engineer/ Forward Engineer to design, develop, deploy, and maintain AI-powered applications and intelligent agent-based solutions.

The ideal candidate will have strong experience with Python, Generative AI, LLMs, AI Agents/Agentic AI, RAG, Vector Databases, APIs, and cloud-based AI/ML deployment. You will work closely with product, engineering, and business teams to transform AI concepts and POCs into scalable, reliable, production-ready solutions.

Key Responsibilities

• Design and develop Generative AI and LLM-powered applications using Python.
• Build intelligent AI Agents / Agentic AI workflows capable of reasoning, tool usage, task execution, and automation.
• Develop and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Integrate LLMs with enterprise applications, databases, APIs, and external services.
• Design and develop AI applications and automation workflows for business use cases.
• Develop REST APIs and system integrations to connect AI solutions with existing platforms.
• Work with different LLM models, prompting techniques, embeddings, context management, and evaluation approaches.
• Implement scalable AI/ML solutions using Docker and cloud platforms.
• Deploy, monitor, troubleshoot, and maintain AI/ML applications in production environments.
• Optimize AI applications for performance, reliability, scalability, and cost.
• Collaborate with engineering and product teams to understand requirements and translate them into technical AI solutions.
• Troubleshoot application, integration, infrastructure, and AI/ML-related issues.
• Establish appropriate logging, monitoring, testing, and error-handling mechanisms for production AI applications.
• Take AI solutions from Proof of Concept (POC) through production deployment.
• Stay current with emerging technologies in Generative AI, LLMs, Agentic AI, RAG, and AI application development.

Required Skills

Programming

• Strong proficiency in Python.
• Experience developing production-grade applications and services.
• Strong understanding of APIs, JSON, REST, and system integrations.

Generative AI / LLM

• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with LLM application development, prompt engineering, embeddings, and context management.
• Familiarity with commercial and/or open-source LLM platforms and models.

AI Agents / Agentic AI

• Experience building AI Agents / Agentic AI systems.
• Understanding of agent workflows, tool/function calling, multi-step reasoning, orchestration, and autonomous task execution.
• Experience integrating AI agents with APIs, databases, enterprise systems, or external tools.

RAG & Vector Databases

• Hands-on experience implementing RAG architectures.
• Experience with embeddings, document processing, chunking, retrieval, reranking, and context optimization.
• Experience working with Vector Databases such as Pinecone, Weaviate, Milvus, Qdrant, Chroma, FAISS, or equivalent.

APIs & System Integration

• Strong experience developing and consuming REST APIs.
• Experience integrating AI solutions with enterprise applications, databases, SaaS platforms, and third-party services.
• Understanding of authentication, authorization, API security, and data exchange.

Cloud & Deployment

• Experience with Docker and containerized application deployment.
• Experience with one or more cloud platforms such as AWS, Azure, or GCP.
• Understanding of AI/ML deployment, cloud infrastructure, and production environments.
• Experience with CI/CD and deployment automation is a plus.

Preferred Qualifications

• Experience taking AI solutions from POC to production.
• Experience with AI Agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar.
• Experience with ML/AI frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Experience with Kubernetes is a plus.
• Experience with MLOps/LLMOps practices is a plus.
• Experience with AI evaluation, observability, monitoring, and guardrails.
• Experience working with enterprise data and security requirements.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.

Key Competencies

• Strong problem-solving and analytical skills.
• Ability to convert business requirements into practical AI solutions.
• Strong communication and collaboration skills.
• Ability to work independently in a fast-paced environment.
• Strong focus on automation, reliability, scalability, and production quality.
• Passion for emerging Generative AI and Agentic AI technologies.