AI Forward Deployed Engineer (Offshore)
Zensar Technologies
Pune Division, Maharashtra, India3h agovia LinkedIn
About the Role
The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business. This role requires hands-on experience with LLMs, cloud platforms, APIs, and enterprise system integration, along with strong problem-solving and communication skills.
Key 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
Requirements & Tech Stack
- 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
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.)
Qualifications
- Bachelor’s degree in Computer Science / Engineering / Data Science or equivalent