Senior Full Stack GenAI Engineer

Only Local Candidate Hybrid position (3 days in office Tue -Thu) Interview Process: 1st Round- MS Teams – 1st round Technical Screening 30 Minutes 2nd Round – Onsite – 1 hour, might include coding. • Seeking a Senior GenAI Engineer Initiatives to drive the design of secure, scalable, and modern applications, with a strong emphasis on AI and GenAI-enabling technologies. • This is a senior-level individual contributor role within the Architecture organization, focused on delivering hands-on solution designs and proofs of concept that bring innovative ideas to life. • You will work closely with Domain Architects, product teams, and engineers to solve real business problems by developing good scalable GenAI Solutions. What you’ll be doing • Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG). • Fine-tune foundation models using domain-specific data. • Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF). • Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools. • Implement responsible AI practices including bias detection, hallucination mitigation, and explainability. • Monitor and optimize model performance, latency, and cost. • Use techniques like quantization, distillation, and caching to improve efficiency. • Stay ahead of GenAI trends and emerging technologies. • Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.). • Ensure compliance with data privacy, security, and regulatory standards. • Evaluate and select appropriate model types (open-source vs proprietary) based on business needs. • Lead hands-on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies • Make informed architectural trade-offs based on business needs, performance, cost, and long-term maintainability • Contribute reusable patterns and documentation that support solution delivery across teams • Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling. • Full Stack 5 years – Java/Python, CI/C pipelines must • Atleast 2 years should be with Gen AI tools and framework. • AWS - Must Requirements: Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills • 10+ years of software engineering and development experience Proven experience in building and deploying GenAI applications in production. • Strong programming skills in Python/JAVA and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.). • Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate). • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). • Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC. • Knowledge of prompt engineering, few-shot learning, and agent-based systems. • Hands-on experience designing and building cloud-native solutions (preferably on AWS) • Experience with modern architecture styles: microservices, APIs, event-driven systems • Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders • Added bonus if you have (Preferred): • Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) • Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) • AWS AI certification • Financial Services experience