About the role
Job Summary: We are seeking a highly skilled Senior Full-Stack Agentic AI Engineer to design and implement advanced Generative AI and Agentic AI capabilities. The ideal candidate will have a strong background in Python and experience with large language models (LLMs) and related frameworks. This role involves integrating applications with various systems and ensuring robust AI functionalities.
Responsibilities:- Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks such as LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent.
- Implement advanced features including tool calling, retrieval-augmented generation (RAG), memory management, planning, reasoning, multi-agent orchestration, structured outputs, and human approval controls.
- Integrate applications with REST APIs, relational and NoSQL databases, vector stores, message queues, and enterprise systems.
- Collaborate with cross-functional teams to define and refine project requirements and deliverables.
- Conduct code reviews and provide mentorship to junior engineers.
- Stay updated with the latest trends and advancements in AI technologies and frameworks.
- Proficiency in Python programming.
- Experience with Generative AI and Agentic AI concepts.
- Strong understanding of LLM frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.
- Experience in integrating applications with REST API.
- Familiarity with relational and NoSQL databases.
- Knowledge of vector stores and message queues.
- Experience with multi-agent orchestration and structured output generation.
- Understanding of enterprise systems and their integration.
- Familiarity with AI memory management and reasoning techniques.
- Experience in front-end technologies, particularly React.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Passion for AI technologies and continuous learning.
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer:Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants
and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry,
age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender
expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability,
medical conditions military and veteran status or any other status or condition protected by applicable federal,
state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the
EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to
view the E-Verify posting click here.
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