Software Engineer – Generative AI / Agentic AI

Job Title: Software Engineer
Experience: 6+ Years
Location: San Diego, CA – 5 Days Onsite
Duration: 6+ Months Contract
Work Authorization: Open to All

Job Description

We are looking for an experienced Software Engineer with strong expertise in Python, PyTorch, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate will have experience developing intelligent AI agents, conversational AI applications, and scalable AI-powered solutions.

Key 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.

• Develop AI-powered application integrations across multiple platforms and services.

• Design, develop, and optimize Retrieval-Augmented Generation (RAG) systems.

• Implement and optimize machine learning models using PyTorch.

• Evaluate and integrate LLMs such as OpenAI, Anthropic, Google Gemini, and Meta Llama.

• Optimize AI models and applications for accuracy, latency, cost, scalability, and performance.

• Apply transformer architectures, attention mechanisms, embeddings, and prompt engineering techniques.

• Collaborate with cross-functional teams to translate business requirements into technical AI solutions.

• Architect, deploy, and maintain production-grade AI solutions.

Required Skills

• 6+ years of experience in Python programming for AI/ML development.

• Strong experience with PyTorch and machine learning concepts.

• Understanding of AI agents, Agentic AI, and autonomous systems.

• Experience developing chatbots and conversational AI solutions.

• Knowledge of RAG architecture, vector databases, embeddings, retrieval strategies, and prompt engineering.

• Familiarity with major LLM providers, including OpenAI, Anthropic, Google, and Meta.

• Understanding of Transformer Neural Network architecture and Attention Mechanisms.

• Experience integrating AI capabilities into software applications.

Nice-to-Have Skills

• Kotlin programming experience.

• Full-stack development experience (Backend and Frontend).

• Cloud development experience (AWS, Azure, or Google Cloud Platform).

• Microservices architecture and application integration.

• REST APIs, gRPC, and Kafka.

• Docker and Kubernetes.

• AI frameworks such as LangChain, LlamaIndex, and AutoGen.

• CI/CD pipelines and DevOps practices.

Preferred Candidate Profile

Candidates with hands-on experience building production-ready Generative AI applications, AI agents, RAG pipelines, and LLM-powered solutions will be strongly preferred.