eClerx Services Ltd
eClerx Services Ltd

Process Manager

eClerx Services Ltd
Mumbai, Maharashtra, India
Full-timeOn-site4 - 8 yrs
6ds ago0 view0 clicked apply
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Forward Deployed AI Engineer

Location: Bangalore 
Experience: 4-8 Years

Role Overview

We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work directly with customers to design, build, deploy, and scale production-grade AI solutions that solve complex business challenges.

You will act as the bridge between business and technology, partnering with stakeholders to transform organizations through AI-powered applications, intelligent automation, and modern AI platforms.

Key Responsibilities

  • Design, develop, and deploy enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, SLMs, and RAG. 
  • Work closely with customers to understand business problems and translate them into scalable AI solutions. 
  • Develop AI-powered applications for conversational AI, intelligent automation, and AI-assisted Software Development Lifecycle (SDLC). 
  • Build production-ready AI workflows using LangGraph, CrewAI, LangChain, and similar AI platforms. 
  • Design agent orchestration frameworks integrating enterprise systems, APIs, databases 
  • Optimize AI solutions for accuracy, latency, scalability, reliability, and cost efficiency. 
  • Build robust APIs, microservices, and AI services following software engineering best practices. 
  • Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver enterprise AI platforms. 
  • Participate in customer workshops, solution design, PoCs, technical discussions, and deployment activities. 
  • Contribute to continuous improvement by evaluating emerging AI technologies and recommending innovative solutions. 

Required Skills & Qualifications

  • 4+ years of experience in Software Engineering, AI Engineering, or Machine Learning. 
  • Strong programming expertise in Python. 
  • Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering.
  • Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration platforms. 
  • Experience with PyTorch, TensorFlow, Hugging Face, or modern AI frameworks. 
  • Strong understanding of vector databases, embeddings, semantic search, and AI workflows. 
  • Experience with Docker, Kubernetes, REST APIs, CI/CD, 
  • Strong communication skills with experience working directly with enterprise clients. 
  • Experience working in Agile development environments. 

Preferred Skills

  • Experience with MLOps/LLMOps and AI deployment frameworks. 
  • Exposure to PEFT, LoRA, QLoRA, or model optimization techniques. 
  • Knowledge of Harness Engineering, AI Observability & Responsible AI
  • Knowledge of distributed computing and enterprise AI infrastructure. 
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