We are seeking a hands-on and forward-thinkingPrincipal or Lead Engineerwith deep expertise inJava-based backend developmentand a strong grasp ofGenerative AI technologies. You will lead the design, development, and deployment of Gen AI-based solutions, working across data, ML engineering, and software engineering teams to integrate AI capabilities into our core platforms and client-facing products.
Responsibilities
- Lead end-to-end architecture and implementation of Generative AI solutions integrated with Java-based applications
- Evaluate, fine-tune, and deploy foundational and LLM models (e.g., GPT, LLaMA, Claude, Gemini) for use cases such as code generation, summarization, intelligent assistants, etc.
- Collaborate with engineers and practice leads to identify and scope high-impact Gen AI use cases
- Build solutions based on AI models with engineers. Mentor and guide junior engineers and set technical direction across AI initiatives
- Build scalable APIs and microservices in Java/Spring Boot that interact with AI models
- Optimize performance and cost of AI solutions in production using prompt engineering, retrieval-augmented generation (RAG), caching, and model selection
- Contribute to AI model experimentation and evaluation pipelines (OpenAI, Hugging Face, LangChain, etc.)
- Drive adoption of Gen AI best practices (e.g., guardrails, ethical AI, observability, and feedback loops)
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 10+ years of experience in Java/J2EE/Spring Boot and backend architecture
- 3+ years of experience working on ML/AI/Gen AI systems, including hands-on work with LLM APIs or open-source models
- Strong knowledge of modern Gen AI frameworks likeLangChain, LlamaIndex, andVector DBs (e.g., FAISS, Pinecone, Chroma)
- Experience integrating with LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face) or self-hosted models
- Working knowledge of Python for AI model orchestration and prototyping
- Solid understanding of data pipelines, REST APIs, containerization (Docker, Kubernetes), and CI/CD workflows
- Experience with AWS, GCP, or Azure AI/ML services
Nice to have
- Familiarity with prompt engineering and fine-tuning LLMs using techniques like LoRA or PEFT
- Experience building RAG-based chatbots, copilots, or AI-powered developer tools
- Contributions to AI communities, research, or open-source Gen AI projects
- Strong communication and stakeholder management skills
