
AI Engineer - Agentic Systems
Publicado en CazViden Vikara.ai
Join Vikara.ai as an AI Engineer in California City. Build cutting-edge agentic AI systems with remote work options. Apply today for career growth!
Salario
USD 55,000 - USD 75,000 por año
Ubicación
United States
Tipo de empleo
Tiempo completo
Modalidad
Remoto
AI Engineer - Agentic Systems
USD 55,000 - USD 75,000 por año
Descripción del empleo
At Vikara.ai, a leading innovator in artificial intelligence solutions, we're on a mission to revolutionize how intelligent agents transform industries. As we expand our footprint in California City, California, we invite experienced AI Engineers specializing in agentic systems to join our dynamic team. This full-time role offers the flexibility of remote work, empowering you to contribute from anywhere while collaborating with top-tier AI talent. Join us to build cutting-edge AI agents that automate complex workflows, enhance decision-making, and drive business efficiency. With a competitive annual salary of $60,000 USD, comprehensive health insurance, paid time off, and a robust retirement plan, Vikara.ai supports your career growth and work-life balance. If you have shipped at least two AI agents in production within the last year and thrive in fast-paced environments, this is your opportunity to accelerate your career in AI engineering. Key Responsibilities Design, build, and deploy multi-domain agentic workflows including research, coding, conversational, reasoning, scheduling, analytics, and automation agents. Own the full lifecycle of AI agents from data ingestion, reasoning, and action-taking to evaluation and continuous monitoring. Develop multi-step autonomous agents capable of planning, context tracking, memory management, tool integration, and API orchestration. Architect scalable systems using modern agent stacks such as LangChain, LlamaIndex, OpenAI Assistants, and Model Context Protocol (MCP). Build robust retrieval pipelines leveraging retrieval-augmented generation (RAG), vector embeddings, caching layers, and knowledge-grounding techniques. Integrate AI agents with external APIs, SaaS platforms, CRMs, internal databases, and messaging systems to enhance functionality. Deploy agents as microservices with observability, evaluation frameworks, guardrails, fallback mechanisms, and real-time monitoring. Optimize inference performance focusing on cost efficiency, latency reduction, accuracy improvement, and maximizing task completion rates. What We're Looking For Required: Proven experience building and deploying at least two AI agents in production within the past 12 months. Strong proficiency in AI agent architectures, including multi-agent systems and autonomous workflows. Expertise with agent stacks such as LangChain, LlamaIndex, OpenAI APIs, and custom orchestration frameworks. Solid programming skills in Python and familiarity with microservices deployment. Experience integrating AI systems with external APIs and SaaS platforms. Ability to operate effectively in high-velocity, agile environments with rapid MVP shipping. Excellent problem-solving skills and ownership mentality. Preferred: Knowledge of multimodal AI agents and domain-specific autonomous systems. Experience with vector databases, caching strategies, and knowledge-grounding techniques. Familiarity with monitoring tools, evaluation metrics, and guardrail implementation. Strong communication skills and collaborative mindset. Passion for continuous learning and career advancement in AI engineering. What We Offer Competitive salary of $60,000 USD per year with performance bonuses. Comprehensive health insurance covering medical, dental, and vision. Paid time off including vacation, sick leave, and holidays. Retirement plan with company matching contributions. Flexible remote work options supporting work-life balance. Professional development opportunities including training, conferences, and certifications. Collaborative culture with mentorship and career growth pathways. Frequently Asked Questions What experience is required to apply? Candidates must have built and deployed at least two AI agents in production within the last 12 months. Is remote work available? Yes, this position offers flexible remote work options with occasional on-site collaboration. What technologies will I work with? You will work with agent stacks like LangChain, LlamaIndex,