Software Engineer

RESPONSIBILITIES

Kforce has a client in Foster City, CA that is seeking a Software Engineer.

Core Responsibilities

• Design and develop AI agents and autonomous systems capable of complex task execution and decision-making
• Build conversational AI solutions including chatbots and voice-based customer service systems
• Create AI-powered application integrations across platforms and services
• Develop and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI application performance
• Implement and optimize machine learning models using PyTorch
• Evaluate and deploy appropriate LLMs based on specific needs-balancing accuracy, latency, cost, and user experience
• Collaborate with cross-functional teams to translate business requirements into technical AI solutions
• Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance

REQUIREMENTS:

• 6+ years of proficiency in Python for AI/ML development
• 6+ years of experience with PyTorch (or willingness to learn for entry-level candidates)
• 6+ years of experience integrating AI capabilities into applications or eagerness to learn application development
• Understanding of AI agents and their application to real-world problems
• Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
• Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt engineering
• Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
• Understanding of transformer neural network architecture and attention mechanisms

Bonus Qualifications:

• Proficiency in Kotlin programming
• Full-stack development experience with both backend and frontend technologies
• Cloud software development experience, especially microservices architecture and integration
• Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven architectures
• Knowledge of cloud platforms (AWS, Google Cloud Platform, Azure) for AI deployment
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with AI frameworks like LangChain, LlamaIndex, AutoGen, or similar tools
• Understanding of CI/CD pipelines and DevOps practices

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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