AI Forward Deployed Engineer - Java & GenAI

Zensar; Dadri, Pune District, Mumbai; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Zensar is seeking an AI Forward Deployed Engineer who sits at the intersection of AI, engineering, and business to partner with stakeholders, identify use cases, and deliver production-grade AI solutions. You will work hands-on with LLMs, cloud platforms, APIs, and enterprise system integration.

Responsibilities include designing and deploying AI/ML solutions, building copilots and automation tools, integrating with enterprise systems and databases, and producing deployment guides.

Qualifications

• Bachelor's degree in Computer Science/Engineering/Data Science or equivalent.
• Strong programming skills in Python, JavaScript/TypeScript, and Java.
• Experience with API-based development, cloud platforms (AWS/Azure/GCP) and databases.
• Hands-on AI/ML technologies (LLMs, RAG, embeddings, vector DBs).
• Strong problem-solving, debugging and system design skills.

Responsibilities

• Identify and define AI use cases with business stakeholders.
• Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, agents).
• Build and deploy production-ready applications, copilots, and automation tools.
• Integrate solutions with enterprise systems, APIs, and databases.
• Collaborate with cross-functional teams for scalability, security, and reliability.
• Rapidly iterate prototypes based on feedback and performance metrics.
• Monitor and optimize solutions for accuracy, latency, and cost.
• Create technical documentation and deployment guides.
• Advise stakeholders on AI capabilities, risks, and best practices.

Skills

Python

LLMs

RAG

Prompt engineering

APIs

Cloud platforms

System design

JavaScript/TypeScript

Education

Bachelor's degree in Computer Science / Engineering / Data Science

Tools

Pinecone

FAISS

React

Job description

The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business, partnering closely with stakeholders to identify use cases, build prototypes, and deliver production-grade AI solutions. This role requires hands-on experience with LLMs, cloud platforms, APIs, and enterprise system integration, along with strong problem-solving and communication skills.

Role & responsibilities

• Identify and define AI use cases with business stakeholders
• Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, agents)
• Build and deploy production-ready applications, copilots, and automation tools
• Integrate solutions with enterprise systems, APIs, and databases
• Collaborate with cross-functional teams for scalability, security, and reliability
• Rapidly iterate prototypes based on feedback and performance metrics
• Monitor and optimize solutions for accuracy, latency, and cost
• Create technical documentation and deployment guides
• Advise stakeholders on AI capabilities, risks, and best practices

Primary Skills

• Python / JavaScript / TypeScript / Java
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering & Agentic Workflows
• APIs & Microservices Development
• Cloud Platforms (Azure / AWS / GCP)
• System Design & Solution Architecture

Secondary Skills

• Vector Databases (Pinecone, FAISS, etc.)
• MLOps / CI-CD pipelines
• Frontend frameworks (React, Angular)
• Security & Compliance in AI systems
• Monitoring & Observability tools
• Domain knowledge (Retail, Healthcare, Finance, etc.)

Preferred candidate profile

• Bachelors degree in Computer Science / Engineering / Data Science or equivalent
• Strong programming skills (Python, JavaScript/TypeScript, Java)
• Experience with API-based development, cloud platforms (AWS/Azure/GCP), and databases
• Hands-on experience with AI/ML technologies (LLMs, RAG, embeddings, vector DBs)
• Strong problem-solving, debugging, and system design skills
• Ability to work with business stakeholders and translate requirements
• Comfortable in fast-paced, ambiguous, customer-facing environments