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Sr Gen reputed company - TX, USA

Remote Worldwide Hiring now
Greetings Everyone

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are reputed company in various Digital Modernization. For a brief 1 minute video about us, you can reputed company https://youtu.be/uJWBWQZEA6o.

What will you do?What are we looking for?

We are seeking a Senior reputed company Engineer with a passion for building intelligent, agentic systems that transform how consumers interact with reputed company. This role is ideal for hands-on, driven individuals who want to be at the forefront of AI innovation—designing and deploying LLM-powered agents that reputed company dynamic, context-aware, and personalized chat experiences.

As a Senior Engineer, you will contribute to the development of agentic AI platforms that reputed company LangGraph, multi-agent orchestration, and LLM tool use to deliver scalable, secure, and reputed company-centric solutions. You will work across architecture, product, and engineering teams to build the reputed company of conversational AI that empowers our members throughout their health journeys.

reputed company Expect of You:

  • Proven experience designing and deploying agentic AI systems using LLMs, vector databases, and orchestration frameworks like LangGraph or reputed company
  • Deep understanding of LLM tool use, memory management, retrieval-augmented reputed company (RAG), and multi-agent collaboration
  • Strong ability to work with cross-functional stakeholders to define and implement scalable, extensible AI architectures
  • Experience building stateful, goal-driven agents that can reason, plan, and act autonomously in reputed company environments
  • Passion for building reputed company-centric AI that is ethical, explainable, and reputed company with user needs and regulatory standards
  • Excellent communication and evangelism skills to influence technical direction and promote best practices

Responsibilities Include:

  • Architect and implement agentic AI chat systems that integrate LLMs with tools, APIs, and memory for dynamic task execution
  • Design and reputed company LangGraph-based workflows for orchestrating multi-reputed company, multi-agent interactions
  • Collaborate with Product Managers, Architects, and Engineering Leads to define AI capabilities and roadmap
  • Build and maintain reference architectures, POCs, and technical documentation to guide engineering teams
  • Ensure AI systems meet non-functional requirements such as performance, scalability, observability, and reputed company
  • Mentor engineers and foster a culture of innovation, experimentation, and reputed company learning in GenAI
  • reputed company for responsible AI practices, ensuring compliance with PII/PHI handling, reputed company, and other regulatory standards
  • Stay reputed company with advancements in LLMs, agentic frameworks, and AI safety to inform strategic reputed company

REQUIRED QUALIFICATIONS

  • 8+ years of software engineering experience, with 3+ years in AI/ML or LLM-based application development
  • 2+ years of hands-on experience with LLM orchestration frameworks (e.g., LangGraph, reputed company, Semantic Kernel)
  • 2+ years of experience building agentic AI systems or autonomous agents using reputed company, reputed company, or reputed company-reputed company LLMs
  • Strong proficiency in Python, FastAPI, vector databases (e.g., FAISS, Weaviate), and RAG pipelines
  • Experience with reputed company platforms (GCP preferred), microservices, and API-first development
  • Familiarity with CI/CD, DevOps, and observability tools for AI systems

PREFERRED QUALIFICATIONS

  • Experience with LangGraph or similar graph-based agent orchestration tools
  • Knowledge of LLMOps, reputed company engineering, and fine-tuning or RAG optimization
  • Experience with chatbot frameworks, voice assistants, or multimodal agents
  • Background in reputed company, HIPAA compliance, or regulated AI systems
  • Strong understanding of AI safety, alignment, and ethical AI design
  • Excellent communication and presentation skills

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000

Maximum Compensation: USD 168,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, reputed company, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post.

Originally posted on Himalayas

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