GenAI Developer

We areAt Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets. Our challengeWe are seeking a talented Generative AI Developer to design, develop, and deploy innovative AI-powered applications and solutions. The ideal candidate will have hands-on experience with large language models, prompt engineering, retrieval-augmented generation, AI agents, and cloud-based application development.This role will collaborate with data scientists, software engineers, product managers, and business stakeholders to transform business requirements into scalable and secure Generative AI solutions. Additional Information*The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Menlo Park, CA is $100K - $120K & benefits (see below). The RoleResponsibilities: • Design, develop, and deploy Generative AI applications using large language models and modern AI frameworks. • Build conversational AI assistants, chatbots, document-processing solutions, recommendation systems, and intelligent automation tools. • Develop and implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources. • Integrate LLMs with internal applications, APIs, databases, and third-party platforms. • Create effective prompts, system instructions, evaluation frameworks, and guardrails for AI applications. • Work with vector databases and embedding models to support semantic search and knowledge retrieval. • Develop AI agents capable of reasoning, tool usage, workflow orchestration, and task automation. • Fine-tune, evaluate, and optimize language models based on business and technical requirements. • Implement monitoring, logging, testing, and performance evaluation for AI applications. • Ensure solutions meet security, privacy, compliance, scalability, and responsible AI standards. • Collaborate with cross-functional teams to understand use cases and deliver production-ready solutions. • Stay current with advancements in Generative AI, LLMs, machine learning frameworks, and industry best practices. • Create technical documentation, architecture diagrams, and deployment guidelines. Requirements: • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field. • 5+ years of experience in software development, machine learning, data engineering, or AI application development. • Hands-on experience building applications using Generative AI and large language models. • Strong programming experience with Python and familiarity with REST APIs and microservices. • Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or AWS Bedrock. • Experience developing RAG applications using embeddings, vector databases, and document-processing pipelines. • Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools. • Experience with prompt engineering, model evaluation, and AI response optimization. • Knowledge of databases, data structures, APIs, and cloud application development. • Experience with Git, CI/CD pipelines, containerization, and deployment practices. • Strong analytical, problem-solving, communication, and collaboration skills. Preferred skills: • Experience developing AI agents and multi-agent workflows. • Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or pgvector. • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. • Knowledge of machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. • Experience with fine-tuning, parameter-efficient fine-tuning, LoRA, or model adaptation techniques. • Knowledge of MLOps, LLMOps, model monitoring, and AI governance. • Experience working with unstructured data, including PDFs, documents, emails, and web content. • Understanding of responsible AI principles, data privacy, security, and compliance requirements. • Experience with Docker, Kubernetes, Terraform, or serverless architectures. We offer: • A multinational