Gen AI - Sr Software Engineer

Wipro; Bengaluru; Vor Ort; INR 3.000.000 - 6.000.000; Vollzeit

Zusammenfassung

Wipro in Bangalore is seeking a Senior AI & Agentic Systems Engineer / Senior Software Engineer to lead the design, development, and deployment of enterprise-grade AI solutions that integrate within complex ecosystems.

The role emphasizes building scalable Python applications, LLMs, RAG, multi-agent coordination, and secure AI guardrails, with strong emphasis on governance, documentation, and cross-functional collaboration. Experience 8–11 years is preferred.

Qualifikationen

• Proven track record in enterprise AI and software development.
• Hands-on experience with LLMs, agentic AI, and tool calling.
• Experience with CI/CD, DevSecOps, and automated testing.
• Strong Python and API design skills.

Aufgaben

• Lead the design and development of enterprise-grade LLMs and agentic AI frameworks.
• Develop capabilities like RAG, Tool and Function Calling, multi-agent coordination.
• Translate architectures into scalable, maintainable designs.
• Integrate AI solutions within enterprise AI platforms.
• Fine-tune open-source AI models and evaluate performance.
• Build scalable Python apps, REST APIs, and microservices.
• Implement CI/CD, Docker, Kubernetes, and automated testing.
• Create data pipelines for ingestion and retrieval of diverse data.
• Design enterprise integration patterns and secure authentication.
• Drive AI governance and regulatory compliance.

Kenntnisse

Python programming

CI/CD

Kubernetes

Docker

AI safety protocols

LangChain / LangGraph

Multi-agent architectures

API design

Tools

Git

Kubernetes

Docker

REST APIs

Microservices

AWS

Jobbeschreibung

Position: Senior AI & Agentic Systems Engineer / Senior Software Engineer

This role is designed for passionate individuals eager to advance the frontier of artificial intelligence and software engineering. As a Senior AI & Agentic Systems Engineer, you will play a pivotal role in conceptualizing, designing, and deploying cutting‑edge AI solutions that integrate seamlessly within enterprise ecosystems.

Core Attributes

• Curiosity-driven mindset: A relentless pursuit of knowledge and desire to explore emerging technologies.
• Innovative problem solving: Challenge current paradigms and pioneer new approaches to complex technical problems.
• Adaptability: Thrive in dynamic environments where rapid technological evolution is a constant.
• Ownership & growth-oriented: Demonstrate commitment to continuous learning, quality enhancement, and proactive solution delivery.
• Versatility over specialization: Emphasis on breadth of understanding rather than a narrow skill set tied to specific platforms.

Key Responsibilities

• Lead the design and development of enterprise‑grade Large Language Models (LLM) and agentic AI frameworks.
• Develop advanced capabilities including Retrieval‑Augmented Generation (RAG), Tool and Function Calling, multi‑agent coordination, and secure safe‑by‑design AI guardrails.
• Translate abstract architectures into detailed, scalable, and maintainable technical designs.
• Integrate AI solutions within complex enterprise AI platforms and knowledge management ecosystems.
• Leverage expertise in fine‑tuning open‑source AI models and conducting comprehensive performance evaluations.
• Develop scalable, high‑performance Python applications, REST APIs, and microservices to support AI workflows.
• Implement robust development practices including CI/CD pipelines, containerization (Docker, Kubernetes), DevSecOps, and automated testing.
• Construct data pipelines for efficient ingestion, transformation, indexing, and retrieval of heterogeneous data (structured, semi‑structured, unstructured).
• Design and implement enterprise integration patterns, robust authentication mechanisms, and event‑driven architectures.
• Drive AI governance and compliance initiatives, ensuring alignment with privacy, security, risk management, and regulatory standards.

Technical Expertise

• Deep expertise in AI & agentic systems including prompt and context engineering, tool calling, sustaining multi‑agent architectures, and implementing AI safety protocols.
• Proficiency in Python programming with mastery over modern development tools such as Git, Kubernetes, Docker, and CI/CD systems.
• Strong knowledge of data engineering tools and methodologies, vector databases, knowledge graphs, and API design.
• Experience with graph databases like Neo4j, GraphQL interfaces, MCP tooling, and cloud platforms including AWS.
• Hands‑on experience with AI ecosystems and platforms such as LangChain, LangGraph, CrewAI, PGVector, and GitHub Copilot.

This role is well‑suited for individuals who are not only technically accomplished but who also foster collaborative cross‑functional partnerships and uphold rigorous standards of documentation and governance.

Job description:

Location

Bangalore

Experience Required

8 to 11 years

Position

Senior AI & Agentic Systems Engineer / Senior Software Engineer

This role is designed for passionate individuals eager to advance the frontier of artificial intelligence and software engineering. As a Senior AI & Agentic Systems Engineer, you will play a pivotal role in conceptualizing, designing, and deploying cutting‑edge AI solutions that integrate seamlessly within enterprise ecosystems.

Core Attributes

• Curiosity-driven mindset: A relentless pursuit of knowledge and desire to explore emerging technologies.
• Innovative problem solving: Challenge current paradigms and pioneer new approaches to complex technical problems.
• Adaptability: Thrive in dynamic environments where rapid technological evolution is a constant.
• Ownership & growth-oriented: Demonstrate commitment to continuous learning, quality enhancement, and proactive solution delivery.
• Versatility over specialization: Emphasis on breadth of understanding rather than a narrow skill set tied to specific platforms.

Key Responsibilities

• Lead the design and development of enterprise‑grade Large Language Models (LLM) and agentic AI frameworks.
• Develop advanced capabilities including Retrieval‑Augmented Generation (RAG), Tool and Function Calling, multi‑agent coordination, and secure safe‑by‑design AI guardrails.
• Translate abstract architectures into detailed, scalable, and maintainable technical designs.
• Integrate AI solutions within complex enterprise AI platforms and knowledge management ecosystems.
• Leverage expertise in fine‑tuning open‑source AI models and conducting comprehensive performance evaluations.
• Develop scalable, high‑performance Python applications, REST APIs, and microservices to support AI workflows.
• Implement robust development practices including CI/CD pipelines, containerization (Docker, Kubernetes), DevSecOps, and automated testing.
• Construct data pipelines for efficient ingestion, transformation, indexing, and retrieval of heterogeneous data (structured, semi‑structured, unstructured).
• Design and implement enterprise integration patterns, robust authentication mechanisms, and event‑driven architectures.
• Drive AI governance and compliance initiatives, ensuring alignment with privacy, security, risk management, and regulatory standards.

Technical Expertise

• Deep expertise in AI & agentic systems including prompt and context engineering, tool calling, sustaining multi‑agent architectures, and implementing AI safety protocols.
• Proficiency in Python programming with mastery over modern development tools such as Git, Kubernetes, Docker, and CI/CD systems.
• Strong knowledge of data engineering tools and methodologies, vector databases, knowledge graphs, and API design.
• Experience with graph databases like Neo4j, GraphQL interfaces, MCP tooling, and cloud platforms including AWS.
• Hands‑on experience with AI ecosystems and platforms such as LangChain, LangGraph, CrewAI, PGVector, and GitHub Copilot.

This role is well‑suited for individuals who are not only technically accomplished but who also foster collaborative cross‑functional partnerships and uphold rigorous standards of documentation and governance.

Areas of responsibility

Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.

Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.

Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.

Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.

Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well‑structured code.

Stakeholder Collaboration-Collaborate with cross functional teams to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.

Mandatory Skills

GenAI for Internet Software Products

Experience

3-5 Years

Reinvent your world. We are building a modern Wipro. We are an end‑to‑end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.