Working within Product Engineering with multi-location teams, your mission will be to play an active role in designing & developing application and working as a Full stack developer. You should also be able to collaborate with other team members for understanding the objectives, meeting the expectation and delivering the requirements within agreed timeline with good quality and be up to date on new technologies and Key design principles.

Responsibilities :

- Develop creative solutions and write technical design based on the requirements.

- Develop and maintain enterprise grade SaaS software, adapting Agile methodology.

- Perform peer code reviews and provide feedback.

- Promote high quality, scalability, and timely completion of projects.

- Development in Core Java, J2EE, Struts, spring, Client-Side scripting, Hibernate, Database

- Development of scalable core-java applications, Web Applications and Web Services

Requirements :

- Experience : 8+ Years

- Strong programming skills in Java or Python or Go or Rust

- Experience using Streamlit for data visualization

- Hands-on experience with agentic frameworks such as LangGraph, LangChain, or crewAI.

- Experience with API frameworks and protocols : MCP, REST, WebSockets, gRPC.

- Practical experience with relational or document databases: Postgres or MongoDB.

- Solid understanding and development experience with microservices-based architectures.

- Strong foundation in data structures and algorithms.

- Experience building or integrating RAG (Retrieval-Augmented Generation) systems and vector search.

- Experience working with multi region teams.

- Analytical problem-solving skills, with attention to detail.

Good to have :

- Development experience using : Java, Kafka, SQL, Linux, Apache Redis, and at least one of MongoDB, Postgres, Clickhouse.

- Experience working with relational and NoSQL DB.

- Strong knowledge of multiple database paradigms : SQL, NoSQL, time-series databases, GraphDB, etc.

- Experience with AI/ML model deployment and operationalization (MLOps / LLMOps).

- Experience designing and implementing Service Level Management (SLM) and related SLO/SLA constructs for AI systems.

- Experience with LLM observability (tracing, evaluation, monitoring, guardrails).

- Experience with LLM fine-tuning techniques (LoRA, QLoRA, instruction tuning, or full parameter tuning).

Why should you join Uniphore :

- Uniphore started as a B2B SAAS company in India

- 14 years ago incubated at ITT Madras (MIT of India)

- Now Uniphore Technologies - one co-founder in Palo Alto, other co-founder in Singapore... truly a global company

- 650+ employees ~ 65% India

Offices : Palo Alto, Dallas, Bangalore, Chennai, Singapore, Japan, Israel, presence in other countries like Australia/NZ, Middle East, Vietnam, etc.

Founded : 2008

Growth :

- Historically 3x Growth year over year

- Just raised $400M in Series E funding which will be used to extend Uniphore's technology and market leadership with advancements in voice AI, computer vision and tonal emotion, as well as to expand its business operations globally, specifically in

- North America, Europe and Asia Pacific.

- Lead investor in Series E - NEA

- Our focus is growing beyond customer service as we launch video-based AI applications stemming from Uniphore's acquisition of

Emotion Research Labs earlier this year as well as applications in Trust, Security and RPA markets.

Valuation after recent funding will be at $2.5B